For finance and engineering teams, understanding that spend is only the beginning. They also have to decide which commitments to buy, where resources are being wasted, why costs changed, and how to keep spending aligned with the business. A dashboard can surface the problem without doing much to reduce the work behind it.

North is building a system to connect those decisions.

The company has raised a $60M Series B led by PeakSpan Capital, with participation from Litquidity Ventures, Companyon Ventures, Alpaca, Uncommon Denominator, Gaingels, and Mana Ventures. Congratulations to Matt Biringer, Yassine Açoine, and the entire North team on this next chapter.

North began by automating cloud commitment purchases. Providers offer discounts in exchange for committing to future usage, but making the right purchase requires predicting demand well in advance. Buying too little leaves savings behind. Buying too much means paying for capacity the business does not need.

As the team worked with customers, the opportunity expanded beyond purchasing. Companies were stitching together spreadsheets and multiple tools to manage their infrastructure budgets, pulling engineers away from building while finance waited for answers.

North now brings cost visibility, allocation, forecasting, and optimization into one platform. Teams can manage spending across AWS, Google Cloud, and Azure alongside AI and data services. They can map costs to teams or customers, identify unusual spending, and find resources that are over- or under-provisioned. Noros, North’s FinOps agent, helps explain changes in plain language.

The important shift is from understanding spend to acting on it. Automated commitment management can reduce the manual work of buying and adjusting cloud discounts. Rightsizing recommendations and anomaly detection help teams identify where usage needs attention. Together, those capabilities give finance and engineering a shared way to manage infrastructure economics rather than another set of reports to reconcile.

North now manages close to $2B in cloud spend and has saved customers more than $400M. Customers include AssemblyAI, Tines, Atlan, and SnapLogic. The new funding will support deeper automation, additional integrations, AI spend governance, and growth across the team.

As AI becomes a larger part of the software stack, infrastructure cost management becomes a more consequential operating decision. Companies need to understand not just what they are spending, but what that spending supports and where they can improve it without slowing the business down.

We’re excited to see North continue building toward that goal, giving teams more time to build and a clearer view of the economics behind their infrastructure.

Read the full release here.

Interested in investing alongside Everywhere Ventures? Learn more about joining our investor community here.

Investors often struggle to sell their private market investments and access their money when they need it. Unlike publicly traded stocks, private market investments can be difficult, expensive and time-consuming to sell. The process is especially challenging for smaller investors because transactions often require a lot of manual work and access to specialized financial expertise. Tangible uses proprietary technology to help investors, GPs, wealth managers and private companies create, access, and manage liquidity across private markets. The team works across LP secondaries, GP-led transactions, tender offers and pre-IPO companies. Tangible is also building the infrastructure that lets wealth managers and private banks offer secondary liquidity to their clients at scale. As liquidity becomes increasingly central to private markets distribution, Tangible has emerged as a leading player in the wealth channel.

Co-founder and Managing Partner Nathan Sutton spent 15 years investing, building businesses and executing cross-border transactions across Europe, the US and Asia. He met his co-founder, Khalil Hibri, while working on a deal a few years ago. They were both working in private equity and they stayed in touch, meeting once or twice a year to exchange ideas. They saw that liquidity solutions weren’t reaching their investors, so they set out to change that by building Tangible.

What’s Tangible’s North Star?

Our North Star is to become the go-to liquidity partner for the wealth channel and the leading tech-enabled advisor for larger institutional transactions and pre-IPO secondaries.

What sets Tangible apart?

We combine technology with white-glove institutional advisory. Our dedicated marketplaces were built alongside major wealth managers and fund managers around their specific needs. For bespoke transactions, we pair that technology with an experienced deal team. Private-market investments represent a meaningful part of someone’s wealth and they need careful advice, not just a marketplace listing.

How does Tangible inspire “customer love”?

Our product is built by people who understand the industry, so it anticipates clients’ questions and needs. Customers appreciate the intuitive interface and the combination of thoughtful technology with personalized institutional advice.

Tell us about some recent milestone that Tangible crushed.

We launched our first product after six months and generated revenue from day one, reaching profitability after a year before reinvesting in growth. Within 18 months, one of the world’s largest wealth managers trusted us to build its platform. Last year, we also completed a nearly $100 million pre-IPO transaction, which opened an entirely new business line.

We also launched credit solutions, so investors can now choose to sell their positions or borrow against them. Later in 2026, we plan to fully launch liquidity solutions for evergreen products, working directly with fund managers.

How has your background shaped you as a founder?

I have always worked at the intersection of finance and entrepreneurship. By the time we started Tangible, my co-founder and I had already seen many of the challenges involved in building businesses. That experience helped us approach the transition with a clearer understanding of what to expect.

Fun fact:

I was born and raised in Milan, but you wouldn’t guess it from my name. In Italy, people ask about it and abroad, they ask why I have an Italian accent. My parents chose it because they liked it and it also has a family connection.

From the archives: Listen to Nathan Sutton with Federico Baradello on the Venture Everywhere podcast: Tangible Secondaries. Now on Apple & Spotify. Check out all our past episodes here!

Disasters are growing in frequency and severity, but the systems designed to help people recover haven’t kept up. Bright Harbor empowers communities to recover from disaster. Their platform reveals what survivors need, launches programs that get aid moving quickly, and coordinates every stakeholder so a community can work as one. Their mission is to help every disaster survivor find their way home. Bright Harbor puts survivors at the center of recovery and gives the governments serving them real-time visibility into their communities’ progress.

Founder and CEO, Joel Wish is a serial entrepreneur and early-stage investor. Bright Harbor began when Joel’s friend Bill lost his house in the Marshall Fire and he saw firsthand the struggle Bill went through to recover. For Joel, it became painfully obvious that one of the most tangible human impacts of climate change is the devastation left behind by natural disasters. He saw that communities needed better tools to navigate recovery and that every survivor deserves a clear path home.

What’s Bright Harbor’s North Star?

Our mission is to help EVERY disaster survivor find their way home. Every is a really critical word for us. It means building a platform that reaches everyone. There are so many barriers to getting help and certain people are not being reached. Some issues are demographic and sociographic, but others are structural blind spots in data and programs, like how small disasters don’t get federal assistance and the states don’t have money to support them.

What sets Bright Harbor apart?

Our team is absolutely incredible. We’ve done a really good job finding people who are true generational talents, that are passionate about the mission and live up to our leadership principles. We have a number of people on the team who were early hires at huge tech wins such as Airtable, Lemonade and Corvus. We also have the former Administrator of FEMA who literally ran the country’s COVID response in the first Trump administration.

Beyond the team, what really sets us apart is our experience working directly with survivors. We’ve spent the past two years working 1:1 with thousands of survivors, helping them navigate forms, insurance, government programs, and the emotional challenges of recovery. That firsthand experience gives us a deep understanding of where the system breaks down and allows us to build better experiences for survivors while helping governments make better decisions about how recovery programs are designed.

Tell us about a recent milestone that Bright Harbor crushed.

We recently deployed in a state experiencing an active fire at extraordinary speed. The state contacted us on a Saturday, contracted with us on Sunday, and was live on Monday. The first survivors entered our system within 48 hours. That is the kind of speed disaster recovery requires. When people have lost their homes, they need to receive help as soon as possible.

How does Bright Harbor inspire ‘customer love’?

For the survivors, we’ve finally brought a consumer-level experience designed for people going through trauma to them. They don’t need to tell their story to 27 different people. They tell our system that information once and we’re able to relay that to dozens of systems and provide a level of “it just works” that nothing else they are dealing with has. For governments, we’re giving them access to insights they genuinely never had, and reminding them why they do this work. I’ve seen a remarkable number of government officials cry (in a good way!) about the types of help they can finally offer their survivors.

What inspires you as a founder?

I started building at a young age, and once I saw that I could take an idea from my head and turn it into something real, there was no going back. I find the process addictive: imagining something, building it, and then hearing from someone you do not know that it truly helped them.

That moment, when a user says, “Wow, I love this,” is what keeps me building. I want to create things that are real, useful, and meaningful to people’s lives.

Fun fact:

I’m the father of twin daughters, who appeared in an H-E-B commercial last year that was featured during the Super Bowl.

From the archives: Listen to Joel Wish with Jenny Fielding on the Venture Everywhere podcast: Bright Harbor Amid Natural Disasters. Now on Apple & Spotify. Check out all our past episodes here!

Hospital operations depend on thousands of decisions that have to be made every day: who is working, where staff are needed, which beds are available, where patients should go, and how to keep clinical teams aligned as demand changes in real time.

Too often, that work still happens across spreadsheets, group texts, phone calls, and disconnected tools.

Vitalize is building a better system.

The company, founded by Veeraj Shah and Sanketh Andhavarapu, is developing an AI-powered operating system for hospital staffing, scheduling, flow, and capacity. Its platform helps health systems forecast demand, automate staffing workflows, fill schedule gaps, manage capacity, and orchestrate staff across clinical units in real time.

The need is large and immediate. Labor represents the largest expense for health systems, accounting for roughly 50% to 60% of hospital operating costs and approaching $1 trillion in annual spend nationwide. Without better forecasting and automation, large health systems can spend more than $100 million a year on premium overtime and agency labor.

The operational challenge is not just financial. Staffing and capacity decisions affect patient flow, length of stay, bed availability, clinician experience, and the speed at which patients can access care. When beds and staffing are managed in separate silos, hospitals can end up with unused capacity in one area and bottlenecks in another.

Vitalize approaches the problem as a complex logistics challenge. Its software integrates with electronic medical record and time-and-payroll systems, replacing the patchwork of scheduling, staffing, and capacity tools many hospitals rely on today. The platform uses machine learning, optimization models, and AI agents to forecast staffing needs, recommend patient placement decisions, and automate the manual coordination that clinical leaders still handle every day.

That focus is rooted in firsthand experience. Shah saw the problem directly while in medical school and while working inside health system staffing offices, command centers, and clinical units. The founding team originally started Vitalize as a healthcare worker wellness app before pivoting toward the operational infrastructure behind staffing and capacity management.

Now Vitalize has raised a $31M Series A led by Oak HC/FT, with participation from Norwest Ventures, .406 Ventures, Constellation Ventures, Y Combinator, and MemorialCare Innovation Fund.

Hospitals do not just need more software. They need systems that make the hardest operational decisions easier, faster, and more coordinated. Vitalize is building toward that future: an operating system for the hospital itself.

Read the full Fierce Healthcare article.

Interested in investing alongside Everywhere Ventures? Learn more about joining our investor community here.

Buying and selling stocks on public markets gives investors access to a constant stream of information about companies and their performance in real-time. In private markets, it’s quite the contrary: investors have to piece together that same kind of information from documents, spreadsheets, and updates shared by GPs. Tamarix is closing that gap in the private market with its flagship platform, Meridian, which automates data extraction from complex documents, reconciles account records to flag discrepancies, and lets teams use AI to analyze portfolio data and generate insights. Private markets teams can book a demo at tamarix.tech.

Founder and CEO Andrea Carnelli Dompe fell in love with financial theory, data and AI while studying for his BSc at Bocconi and his MSc and PhD at Imperial College London. He then spent years on the LP side of private markets before deciding to build Tamarix. As Head of Research at Pantheon Ventures, a private markets investor with $68 billion in assets under management (AUM), he saw firsthand how much value sits untapped in private markets data, and how outdated the infrastructure behind it still is. Putting his LP-side experience together with what AI was newly making possible, he realized the opportunity was too big to pass up, and Tamarix was born.

What’s Tamarix’s North Star?

To make private markets as transparent and as easy to monitor and manage as liquid markets. Investors in public markets take real-time, reliable data for granted. We think private markets investors deserve the same, and that it’s now finally within reach.

What sets Tamarix apart?

Most tools in our space digitize documents and leave the rest to the client. We focus on the harder part: turning every document into data a team can actually trust and use, from back office to front office. We’re AI-native and fully open via API, so Meridian plugs into whatever our clients already run. And we’ve chosen depth over breadth, serving a very specific type of investor - LPs - better than any horizontal tool can.

How does Tamarix inspire ‘customer love’?

Our clients spend a huge amount of time chasing, reading and re-keying fund data. When Meridian takes that off their plate, their teams get time back to do the work they actually hired for: analysis, decisions and relationships with their managers. We also stay very close to our users and ship improvements based on what they tell us, so they see the product evolving around their needs.

Tell us about a recent milestone that Tamarix crushed?

We now monitor over $10 billion of LP AUM through Meridian, which corresponds to roughly $500 billion of underlying GP AUM. That’s a scale we’re really proud of, and it’s a strong signal that the market is ready for a new approach.

How has your background influenced you as a founder?

As Head of Research at Pantheon, I sat on the buyer side of the exact problem we now solve. I know the LP workflow from the inside: which data matters, where it breaks, and what a team actually needs to trust a number. That shapes everything we build. We design for the people doing the work, because I was one of them.

Fun fact:

I’m an Italian who has thoroughly absorbed German culture. In winter you’ll find me taking cold dips in the Isar (Munich’s river) which no one back home in Italy considers a reasonable life choice. And when I got married, I did it in lederhosen. My Italian relatives are still processing both.

Listen to the Venture Everywhere podcast on Apple and Spotify and check out all our past episodes here.

Commercial insurance is one of the largest and most operationally complex markets in financial services.

Most insurance is still sold through human agents, and for good reason: the work is nuanced, relationship-driven, and highly specific to each customer. But the systems supporting those agents have not kept up. Brokers and agencies still spend enormous amounts of time on manual paperwork, application forms, document review, and administrative tasks that slow down the process for both customers and advisors.

Outmarket is building for that gap.

The company, founded by Vishal Sankhla, uses AI to help insurance agencies and brokers automate the tedious back-office work that sits behind commercial insurance. The opportunity is especially large in commercial lines, where businesses need coverage across a wide range of risks — from general liability and workers’ compensation to D&O and other specialized policies.

That complexity creates a real workflow problem. Different businesses need different coverage. Different coverage types require different applications, documents, and review processes. Brokers are expected to make sense of all of it while still serving customers quickly and thoughtfully.

Outmarket’s platform helps automate the repetitive administrative work so brokers can spend more time on the higher-value parts of the job: understanding a client’s needs, recommending the right coverage, and responding when something urgent happens.

The company’s momentum reflects how much demand exists for better infrastructure in insurance distribution. Outmarket has already attracted more than 300 insurance agencies as customers, including 25% of the top 100, only 14 months after launching its new product.

Now, Outmarket has raised a $34.5M Series B led by SignalFire, with participation from Fika Ventures, Permanent Capital Ventures, TTV Capital, and Dash Fund. The financing follows the company’s $17M Series A just four months earlier.

The broader market is enormous. The U.S. property and casualty insurance market alone represents more than a trillion dollars in annual premiums. As AI becomes more capable of handling complex, document-heavy workflows, insurance distribution is a natural category for transformation.

Outmarket is not trying to replace the human relationship at the center of insurance. It is giving brokers better tools so they can work faster, smarter, and with more time for the judgment-driven work customers actually value.

Read the full TechCrunch article.

Interested in investing alongside Everywhere Ventures? Learn more about joining our investor community here.

The partnership will use Century Health’s CHARM AI platform to mine more than a decade of ophthalmology data and convert unstructured clinical information into structured, research-grade datasets. The work focuses on chronic retinal diseases including diabetic retinopathy and age-related macular degeneration, drawing from more than 200,000 de-identified patient records.

This is an important unlock for ophthalmology and life sciences research. Some of the most valuable variables in eye care, imaging findings, subtle structural changes, quantitative retinal measurements, and disease progression metrics, often live inside PDFs, scanned reports, and other unstructured files. That makes them difficult to use at scale for drug development, trial design, post-marketing research, payer evidence, and label expansion work.

Century Health is building the infrastructure to make that data usable. Its CHARM AI platform extracts and structures longitudinal clinical data so life sciences teams can better understand how patients progress and respond to therapies over years of routine care.

For Century Health, the Eye Health America partnership deepens the company’s footprint in ophthalmology and supports its broader strategy of building a specialty-focused data network across areas including neurology, immunology, and ophthalmology. The company now covers more than one million longitudinal records across 12 disease categories.

Congratulations to the Century Health team on this partnership.

Interested in investing alongside Everywhere Ventures? Learn more about joining our investor community here.

Trebellar announced an $18M Series A led by Blossom Capital, with participation from Alt Capital, Haystack, 1Flourish, and Bynd.

The company is building the AI-native platform for corporate real estate. Enterprise real estate teams sit on a huge amount of operational data across facilities, workplace systems, sensors, occupancy tools, asset records, and planning workflows, but that data is often fragmented across disconnected systems. Trebellar brings that information together and turns it into actionable intelligence for teams managing complex real estate portfolios.

That matters because corporate real estate is becoming a more strategic function. Companies need to understand how space is used, where costs can be optimized, how employees experience the workplace, and how facilities decisions connect to broader business goals. Trebellar gives teams the data foundation and AI layer to make those decisions faster and with more confidence.

The company already counts Meta, Uber, and Merck among its approved customer references, and the new funding will support continued growth across engineering, go-to-market, AI capabilities, and enterprise adoption.

Congratulations to Diego Ferriero Val and the full Trebellar team!

Interested in investing alongside Everywhere Ventures? Learn more about joining our investor community here.

Congratulations to Ilana Springer Borkenstein, Eric Gruskin, and the full M7 Health team on M7’s acquisition by Ascend Learning.

M7 was built around a problem that every health system understands: clinical staffing is one of the hardest operational challenges in healthcare. Nurse schedules need to balance coverage, cost, preferences, retention, burnout, and patient care needs, but too many teams are still stuck managing that complexity across manual processes and disconnected tools.

M7’s platform helps health systems forecast staffing needs, understand their workforce, optimize schedules, and plan ahead. The product gives nursing leaders and operational teams a better way to match staffing demand with the realities of the clinical workforce, while creating more flexible and predictable work environments for nurses.

The company has grown from a proof of concept into a workforce optimization platform powering hundreds of hospitals and supporting tens of thousands of clinicians every day. That progress reflects both the scale of the problem and the quality of the team Ilana has built.

Joining Ascend Learning gives M7 more resources, distribution, and reach to continue its mission of transforming how healthcare work gets done. We are proud to have been part of the M7 journey and excited for this next chapter.

Read more: https://lnkd.in/gBw7yi8p

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Anyone who has managed files for a growing team (or even personal files for that matter), knows how quickly things can get messy. Digital assets and documents end up scattered across drives, tools, and folders, and suddenly no one knows where to find the “right” one. Is it “final draft,” “final-final,” “final-v3”...? Traditional Data Asset Management (DAM) tools exist to solve this, but they’re often built for enterprise budgets and typically require heavy setup. Stockpress is closing that gap with a DAM that’s intuitive and affordable enough for companies of every size. Using AI tagging, facial recognition, text extraction, video transcription, and other metadata tools, Stockpress makes files searchable by what’s actually in them rather than just a file name. In addition, they eliminate duplicates and provide version stacking so teams never have to guess which version of the file is the approved one.

Before co-founding Stockpress, Jessica Storry, CEO, built her career in digital design, web development, and creative agency work. She launched her own agency, where she led creative and client work for startups and enterprise brands. Jessica first connected with co-founders Bartosz Romanowski, and Kamila Romanowska, over 15 years ago, when she bought a WordPress theme that they had built. She then hired them for a freelance project and what began as an email-only working relationship grew into a close friendship and eventually a full partnership. Their co-founder Ian Parkes, then joined their digital agency to lead sales and marketing in the UK. The idea for Stockpress came when an enterprise client asked the agency to customize an existing digital asset management system, and Bart realized they could build something simpler and better themselves. So the four frustrated creatives built a tool to help people spend less time looking for files and more time using them.

What’s Stockpress’ North Star?

We want to make Digital Asset Management accessible to everyone. A lot of people don’t even know what a DAM is, or they can’t afford one. We’ve built something simple that anyone can start using without a big investment or learning curve.

What sets Stockpress apart?

Most Digital Asset Management platforms are built like enterprise software: complicated, expensive, and dependent on sales and onboarding teams. The more you can upsell, the more it costs per admin, per user, and the whole thing balloons. We built Stockpress to be self-serve and easy to use from day one. About 70% of our customers sign up and use the product without needing a demo.

We are also built to scale. Some customers have just three people in their account, while others have more than 12,000 users. Teams can start small without worrying that they will outgrow the platform as they scale. We also offer a free trial so teams can try Stockpress for themselves and decide if it’s the right fit before committing.

Tell us about some recent milestones Stockpress crushed.

We became profitable last quarter and have doubled our revenue every year since taking on investment. We’re already on track to continue that growth this year, even as we hire two additional team members. Also, our annual churn is below 4%, which we’re incredibly proud of.

How does Stockpress inspire “customer love”?

Customers often tell us, “This is so easy. I don’t even need help setting it up.” Our strongest customer segments are leisure and tourism, education, nonprofits, and e-commerce brands. These organizations tend to have a large volume of content, and their marketing and communications teams need a simple way to manage it all. Our nonprofit customers are especially meaningful to me, as I worked with nonprofits earlier in my career and I know how much they’re asked to accomplish with limited resources. Many are moving away from expensive enterprise DAM tools, where pricing can be out of reach. We offer nonprofits a 30% lifetime discount because they face the same file-management problems as everyone else, but often with far less budget.

How do you maintain a good work-life balance?

I adopted a dog named Charlie about a year ago, and she has completely changed how I spend my free time. I take her to agility classes, scent-work courses, and the beach almost every morning. We live about eight minutes from the beach in Florida, and that daily walk has become a real mental reset before I start work.

Fun fact:

I know American Sign Language. I first learned it in high school, loved it, and continued taking courses after college. I do not use it as often now, but it still brings me joy whenever I see it.

From the archives: Listen to Reto Bolliger with Harm-Julian Schumacher on the Venture Everywhere podcast: The Car Warranty Chaiz. Now on Apple & Spotify. Check out all our past episodes here!

Performance advertisers often hit the same wall: they can see which ads are winning, but not why. So scaling creative output becomes expensive guesswork with a lot of losing tests along the way. Segwise solves this with AI creative analytics that tags and analyzes every ad a brand runs, surfacing the patterns behind its top performers and turning those insights into new, on-brand statics, videos, and playables that can lift ROAS by up to 30%. The platform serves some of the largest mobile games, mobile apps, CPG brands, DTC brands, and performance agencies, giving creative teams a data-backed shortcut from “what’s working” to “what’s next.”

Co-founder and CEO Brijesh Bharadwaj brings 12+ years of Growth and Product leadership across AdTech and fast-scaling mobile apps. He teamed up with co-founder Shobhit Gupta, CTO, whose engineering background spans WhatsApp, Uber, and Yahoo. The two met at a previous company and they decided to focus on turning real customer and market data into ads that consistently outperform.

What’s Segwise’s North Star?

Our North Star is helping businesses find their best customers. I believe advertising, when done well, is really matchmaking. It helps someone with a real problem discover a product that solves it, while helping the business grow. We measure that through ads that produce better results, stronger returns on ad spend, and customers who genuinely value what they buy. Because we want every advertiser to grow, we’re offering a free trial to interested teams at Segwise.ai.

What sets Segwise apart?

Most AI ad tools help customers turn a prompt the customer makes into an image or video. We focus on the harder question: what should you make in the first place? We synthesize performance data, competitor ads, reviews, Reddit research, customer insights and brand guidelines to determine the next ads a company should run, then we make them. Our advantage is turning data into the right creative direction, not simply generating a video from a prompt.

Tell us about some recent milestones that Segwise crushed.

We have grown 4x over the last year and added as much new ARR in 1 month as we had in total 1 year ago, which is a strong sign of accelerating traction. We have also hired our first VP of Sales, moving from founder-led sales toward a more scalable sales organization. Our team now spans the U.S., Europe, and Asia, making us a truly global, all-time-zone company.

How has your background shaped you as a founder?

I have worked in product and growth throughout my career, including at InMobi, where I built app-install advertising products. Product work trains you to make decisions with incomplete information, constantly test assumptions, and learn from mistakes, which is exactly what founding a company requires. Becoming a founder felt like a natural next step in building products and challenging myself to take something from zero to one.

Any favorite resources and books?

Reforge was one of the most valuable experiences for accelerating my product thinking. For leadership, I recommend Radical Candor by Kim Scott. It is the best book I have read on managing people while building trust. For strategy, I recommend 7 Powers by Hamilton Helmer, which offers a clear framework for thinking about durable competitive advantages.

Fun fact:

I used to box competitively. I started boxing to lose weight, got deeply into it, and ended up competing for a couple of years. I got pretty good at it, but eventually decided that getting into a good undergraduate program was probably a better long-term investment than continuing to get punched in the head.

From the archives: Listen to Kate Lambridis with Scott Hartley on the Venture Everywhere podcast: Human-Driven Health. Now on Apple & Spotify. Check out all our past episodes here!

Congratulations to Andrew McCarthy and the Axo Longevity team on raising an oversubscribed $5M seed round.

Axo is building a preventive health membership designed to make deeper health insight more accessible. The platform combines 100+ biomarker blood tests, ongoing tracking, and personalized guidance across nutrition, sleep, movement, and supplements so members can better understand what is happening in their bodies over time.

The need is clear: most healthcare still operates reactively, and many consumers only get meaningful testing or interpretation after something has already gone wrong. Axo’s model gives members a more structured way to monitor their health, identify imbalances earlier, and make targeted changes with clearer data behind them.

The company has already expanded across multiple European markets and built a broad partner lab network, making the experience more convenient for members who want preventive testing without navigating the traditional healthcare system on their own. Axo’s annual membership includes recurring biomarker analysis and an expert-backed plan, with the company continuing to add capabilities like an AI health copilot and wearable integrations.

We invested in Axo because we believe preventive health will increasingly look like an ongoing membership, not a one-off check-up. As biomarker testing becomes more affordable and consumers become more comfortable using data to manage their health, companies that can combine access, interpretation, and behavior change in one product will be well positioned.

This new financing will help Axo expand into additional countries, grow its laboratory network, and continue building a product experience that makes preventive health practical, personalized, and more affordable. We’re excited to see Andrew and the team continue building toward a new standard for proactive health across Europe.

Read the full Business Wire announcement.

Interested in investing alongside Everywhere Ventures? Learn more about joining our investor community here.

Congratulations to Jeff Wald and the BoomerangHR team on emerging from stealth and announcing a $12.7M seed round, as covered by HR Brew.

BoomerangHR is building alumni management software for the modern HR team. The platform connects with a company’s existing HRMS and ATS systems, then automates key workflows around offboarding, exit compliance, alumni engagement, referrals, and rehire matching. Instead of treating an employee’s last day as the end of the relationship, Boomerang helps companies maintain a structured, active alumni network.

That matters because former employees can be one of the strongest pools of future talent and relationship capital. They already understand the company’s culture, systems, and customers. They can come back as high-signal rehires, refer strong candidates, become customers or partners, and continue to strengthen the employer brand if the exit experience is handled well.

The HR Brew piece highlights how BoomerangHR is designed to run with minimal lift from HR teams. The platform integrates into existing systems, supports offboarding workflows like COBRA administration, 401(k) rollovers, equipment returns, and exit interviews, and keeps verified alumni profiles current so companies can match former employees to new roles.

Warby Parker is cited as an early customer, with Chief People Officer Chelsea Kaden noting that BoomerangHR gives the company a streamlined way to stay connected with former team members, whether they return, refer someone great, or simply remain part of the broader team community.

We’re excited to see BoomerangHR bring more structure to a part of the employee lifecycle that most companies still manage manually, if at all. Congratulations again to Jeff and the team on this milestone.

Read the original article here.

Interested in investing alongside Everywhere Ventures? Learn more about joining our investor community here.

Ticketing is an intensely competitive, low-margin industry with complex technology requirements spanning checkout, scanning, venue access, security, fraud, and chargebacks. Attend is rethinking how teams and venues compete by supporting a wide range of ticketing and revenue use cases. Their flexible platform layers on top of the ticketing infrastructure teams already use, integrating directly with primary systems like Ticketmaster, MLB’s ticketing system, Tickets.com, and SeatGeek. Attend helps reach fans through subscriptions, last-minute inventory, student offers, seat upgrades, flex plans, credit-based products, and premium and suite experiences. Attend helps sports and entertainment brands create more flexible offers that better match how fans want to experience live events.

Co-founders Aaron Holland, CEO, and Robert Beadle, COO, met at a CrossFit gym in Los Angeles, where the two quickly connected over their shared entrepreneurial backgrounds and a ticket-sharing problem they had both experienced as season-ticket holders. In 2019 they launched Season Share to help fans split tickets with friends more easily. When the pandemic disrupted live events, they pivoted to a white-label B2B platform for teams and venues, laying the foundation for Attend. Today, as fans demand more flexibility and teams look for smarter ways to grow revenue, Attend is helping organizations reimagine ticketing for the next generation of live events.

What’s Attend’s North Star?

Attend is built to help sports teams, entertainment organizations, and venues create more flexible ticketing programs for the next generation of fans. We want to make live experiences more accessible and bring people together in an increasingly digitally connected world. That means tracking business KPIs like revenue, conversions, and seats sold, but it also means caring about how many people we help get out of the house and into meaningful, shared experiences.

How has your customer base evolved over time?

Sports remains our foundation, but we have grown well beyond it. Over the past several years, we have expanded into new areas of live entertainment, partnering with leading organizations across theater, concerts, music, comedy, and more. Today, Attend supports a growing range of arts venues and entertainment organizations across North America, bringing our technology to an increasingly diverse set of live experiences.

What’s on the horizon for Attend?

The next step is automation at scale: setting up offers more quickly and creating real one-to-one personalization based on factors like purchase history, interests, location, spending patterns, and family context. Teams have traditionally relied on repetitive, broad “spray-and-pray” sales tactics. We are giving them tools to make offers more relevant, flexible, and aligned with what individual fans can spend and care about.

How has your background influenced you as a founder?

Entrepreneurship is deeply embedded in my family. I am a third-generation entrepreneur, so owning and operating a business always felt like the path I was meant to pursue. In college, I started a marketing agency and used digital-marketing work to put myself through school. That evolved into building profitable technology products for other companies, then reinvesting our earnings to launch standalone businesses of our own. I studied sports management while building technology and SaaS businesses, and I always wanted to find my way back to sports. Ticketing is a difficult but rewarding part of sports technology, and it remains an area with significant room for innovation.

Any advice?

My biggest advice is: sell it, then build it. It is not about what you can build; it is about what customers will actually pay you to solve. Especially now, with AI making it easier to launch fast products, founders need to optimize for what they can sell, not just what they can raise money against. Profitability matters more than ever. Fundraising can depend heavily on timing and luck, but you can control whether you are building something that solves a real market problem and gets you to sustainable revenue. Investors do not want to buy a job; they want to buy a business.

Fun fact:

My family moved from Los Angeles to Bozeman, Montana during COVID and it’s been great because we love the outdoor lifestyle: camping, fishing, and skiing.

From the archives: Listen to Aaron Holland, with Jenny Fielding on the Venture Everywhere podcast: Swipe, Tap, Attend. Now on Apple & Spotify. Check out all our past episodes here!

Mito is the Spanish word for “myth” and mythology is one of humanity’s oldest ways of sharing stories across generations. So it’s a fitting name for a company reimagining how stories are created and told. MITO is an AI-native video platform where filmmakers and AI agents work together to create long visual stories, from the first idea to the final cut. Its customers range from film production companies and ad agencies to internal creative teams at large corporations. Some generate entire videos with AI, while others use MITO in a hybrid workflow that combines studio shoots with AI-powered post-production. MITO is free to try, with enough credits on the free tier to create a few videos before deciding whether to upgrade. They are also hiring across growth, sales, product, marketing, engineering, and operations, so check out the open roles if you’re interested in helping shape the future of storytelling.

Co-founder and CEO Dr. Iñaki Berenguer is one of Spain’s most successful serial tech entrepreneurs and investors, having previously founded CoverWallet (acquired by Aon for $300M in just 4 years), Contactive/Klink (acquired by Thinkingphones), iPronics (raised $100M), and Pixable (acquired by SingTel). He holds a Master’s and PhD in Engineering from Cambridge, an MA from Columbia (as a Fulbright scholar), and an MBA from MIT. His co-founders, Danny Saltaren, CDO, and Arantxa Barcia, CCO, are both celebrated creatives from Spain. Arantxa is a filmmaker, and Danny is a designer who received Spain’s National Design Award from the King of Spain. They teamed up to create a next-generation film studio with an intelligent creative suite built for directors, brands and teams.

What’s the origin of MITO?

Last summer, my co-founder showed me an AI-generated video, and I immediately had that rare feeling that something major was about to change (the same feeling I had when I first used an iPhone, ChatGPT, or Waymo). AI video will transform entertainment and advertising, but also education, robotics, communication, and entirely new industries that have not been invented yet. I wanted to be a protagonist in that shift, not just an investor watching from the sidelines. At the time, creating long-form AI video was complicated and required technical knowledge. We saw an opportunity to make it accessible: a platform where people can create rich, long-form visual stories without needing to understand AI or code.

What sets MITO apart?

MITO is built by filmmakers for filmmakers, with a focus on long-form storytelling rather than short social-media clips. A 10-second TikTok or Instagram video is very different from a film, commercial, or music video that requires character development, story continuity, locations, visual style, music, and a coherent narrative from beginning to end.

We also built MITO as a multiplayer platform from day one. Teams can collaborate with one another inside a project, but they can also work with an AI director. Instead of dragging and dropping tools, users can describe the story they want to tell and have a conversation with the AI, which helps develop the creative direction and builds the project alongside them.

How does MITO inspire customer love?

Customers love three things: lower budgets, much faster turnaround times, and far more room for experimentation. A national TV commercial that once would have required two months of planning (permits, actors, locations, crews, lighting, sound, wardrobes, and equipment) can now go from brief to broadcast in roughly two weeks. More importantly, MITO dramatically expands creative exploration. With traditional footage, teams can only edit what they captured. With AI video, they can test different backgrounds, lighting, styling, characters, locations, and versions of the same concept before committing to a final cut. That makes it possible to prototype a film or commercial as an actual visual experience, not just a script or storyboard.

Tell us about some recent milestones that MITO crushed.

• About a month ago, we launched our AI Director. Previously, users had to configure a lot of elements themselves: selecting characters, prompting, choosing a model, setting duration, and more. Now they can simply chat or speak with the AI Director about the story they want to create. It can suggest shots, ask questions about orientation and style, offer creative options, and then build the video project while the user stays in the loop.

• We also recently acquired a small, highly technical AI company, Kluster AI. Their team is helping us build our own video model, while fine-tuning other parts of the product. It is helping MITO become much more technically ambitious behind the scenes.

How has your background shaped you as a founder?

Across my career, I have tried to build at the beginning of major technology waves. My first company was in photo-based social networking before Instagram; my second was SaaS; my third was insurtech; and my fourth built networking chips for AI data centers before AI infrastructure became a mainstream topic. With Mito, I believe we are again early in an inflection point because AI video will be central not only to entertainment and advertising, but other industries as well.

The sectors have changed, but the DNA of how I build companies has stayed consistent: a strong culture, deep respect for product and engineering, and an urgency to move quickly when a new opportunity appears. In AI, a product advantage can be copied in months rather than years, so the rule is simple: if you have a good idea, run as fast as possible.

Personally, I grew up in a very small town near Alicante, Spain, far from major cities. My father never went to school, yet I eventually studied at MIT, Cambridge, Columbia, and Princeton, built global companies, and had global exits. Coming from where I come from and ending up where I am, it’s almost impossible not to be an optimist. People sometimes call me a paranoid optimist: deeply optimistic about what’s possible, but with a constant sense of urgency.

Any advice for founders?

A great product matters, but distribution matters even more. You can build something exceptional, but if nobody knows it exists, it cannot create value. Strong distribution and growth attracts customers, talent, capital, and attention, resources that can be reinvested into making the product better. The goal isn’t simply to build something you’re proud of; it’s to create value and build the reach necessary to sustain innovation.

Fun fact:
I have run 19 marathons.

From the archives: Listen to Laura McDonald with Scott Hartley on the Venture Everywhere podcast: Fertility in Full FLORA. Now on Apple & Spotify. Check out all our past episodes here!

That is a big deal because many scientific and manufacturing workflows still depend on brittle, bespoke integrations. A lab may have multiple automated machines, but each device often speaks its own language. Connecting them into a single workflow can take specialists weeks or months. Anthropic’s goal with MHS is to reduce that integration work to hours or minutes while giving AI agents safer, standardized ways to discover devices, understand what they can do, operate within safety limits, and coordinate work across instruments.

Tetsuwan, one of our portfolio companies, is directly aligned with that future.

Tetsuwan is building an automated biology lab available to researchers and agents through an API. Its platform, ResearchOS, lets users generate, run, and manage automated workflows from natural-language protocols. Claude can help translate those protocols into scripts, which are then processed by Tetsuwan’s custom compiler into automation code for lab equipment.

In Anthropic’s research preview, Tetsuwan integrated MHS with ResearchOS to run qPCR workflows for a citizen science project studying pollution in California’s San Pedro Creek. The workflow involved coordinating across lab devices, detecting issues during liquid handling, and recovering from errors in real time.

One example captures why this matters. qPCR workflows often involve viscous reagents that can bubble or foam during pipetting, which can compromise an experiment. In the Tetsuwan pilot, a camera detected bubbles in a transfer. Claude, operating through MHS, helped identify a recovery strategy: move the tube to a centrifuge and briefly spin it to draw the liquid down. Through MHS, Claude could then issue the appropriate commands to the centrifuge.

That kind of orchestration is the real unlock. It is not just “AI plus robot.” It is a system where protocols can become more hardware-independent, devices can be discovered and coordinated dynamically, and experiments can adapt when conditions change. Anthropic’s post also notes that Tetsuwan used Claude and MHS in a closed-loop optimization experiment to improve compiler heuristics, testing 9,143 individual dispenses, 300 unique transfer types, and 1,508 measured conditions across four liquid types.

This is why we invested in Tetsuwan. Biology is dynamic. Experiments vary from run to run. The long tail of scientific work cannot be automated with rigid, one-off configurations alone. It needs an operating system that can turn scientific intent into reliable execution across real-world instruments.

ResearchOS and MHS point toward that future: labs where researchers can express what they want to test, agents can help translate that intent into workflows, and automated equipment can execute, monitor, recover, and improve over time.

Congratulations to Cristian Ponce, Théo Schäfer, and the Tetsuwan team on being part of Anthropic’s Model Hardware Standard research preview. This is an exciting step toward making experimentation more accessible, reproducible, and programmable.

Read Anthropic’s announcement.

Interested in investing alongside Everywhere Ventures? Learn more about joining our investor community here.

Congratulations to OneLot on being named to Forbes Asia’s 100 to Watch list.

OneLot is building financial infrastructure for used-car dealers in the Philippines. The company provides working capital loans that help dealers expand inventory, paired with a dealership management system for operations like inventory tracking, marketing tools, and market insights.

The market need is straightforward: used-car dealers often need capital before they can grow. Inventory drives sales, but buying inventory requires financing, and many small and mid-sized dealers do not have access to flexible credit products built around how their businesses actually operate. OneLot addresses that gap with credit lines secured by vehicles, using AI and in-person inspections to assess dealer inventory before extending financing.

That combination of lending and software is what makes the model interesting. Financing helps dealers buy more cars. Software helps them manage those cars more effectively. Over time, the operating layer can also create better visibility into dealer performance, inventory quality, and market demand.

Forbes Asia’s 100 to Watch list highlights rising startups and small businesses across Asia-Pacific, with companies selected across categories including enterprise technology, fintech, robotics, and other high-growth sectors. OneLot’s inclusion is a strong recognition of the team’s work bringing better financial tools to a fragmented and important market.

Congratulations to Harm-Julian Schumacher and the OneLot team on the recognition. We’re excited to see the company continue building for dealers across the Philippines.

Read the Manila Bulletin piece

Interested in investing alongside Everywhere Ventures? Learn more about joining our investor community here.

Agree.com is closing a gap that traditional e-signature platforms leave open. A signed contract feels like a finished deal, but the work isn’t really done until the payment clears. Agree.com combines free e-signatures with automated invoicing and payment processing in one platform. This gives revenue teams a single system instead of a patchwork of tools. The company works closely with founders, operations leaders, and finance teams (a.k.a the people who send agreements, collect signatures, and chase down payments.) Agree.com folds all three steps into one flow with the goal to provide revenue that runs itself. From agreements to billing, payments, collections, and reporting, Agree.com automates the entire contract-to-cash stack. The platform continues to expand its reach, working with companies of all sizes that want revenue to move without friction.

The partnership between co-founders Will Hubbard, COO, and Marty Ringlein, CEO, actually started at a poker table. Will was hosting a game for founders and investors in the Bay Area. Will was in the process of selling his first company and Marty had just sold his second company to Eventbrite around that same time. Will asked Marty for help making sense of a mountain of legal paperwork. That conversation sparked a friendship, working relationship, and the idea for Agree.com. Marty later introduced Will to longtime friend Evan Dudla, an experienced founder and software engineer to become co-founder and CTO. Marty and Will’s collaboration goes beyond the company too. They co-teach a course on AI and product development at Northwestern University, where they sometimes update their slides the night before class to keep up with how quickly the field is evolving. This is a reflection of how they work at Agree.com, staying flexible, moving quickly, and adapting as they build.

Let’s agree to Agree!

What’s Agree.com’s North Star?

Agree.com is an all-in-one contracting and billing platform built to put revenue on autopilot. Early on, our North Star was getting as many people as possible to send contracts through our free e-signature product. That created a viral loop: someone receives an agreement or pays an invoice through Agree.com, has a great experience, and wants to use it for their own business. Right now we’re focused on invoice volume and helping more established businesses (primarily companies doing seven or eight figures in revenue) run more of their contracting, invoicing, subscriptions, and payments through Agree.com.

What sets Agree.com apart?

We replace a fragmented workflow. Before Agree.com, companies often needed separate tools for e-signatures, invoicing, subscriptions, payments, accounting, CRM, and internal coordination. We bring those workflows into one place, helping teams collapse steps, improve visibility, and make their operations more efficient.

How does Agree.com inspire “customer love”?

The stories I love most are when someone receives an invoice through Agree.com and becomes a customer themselves. I recently onboarded someone who told me, “I just paid an invoice to somebody else on Agree.com, and it was so good that I reached out and booked a demo with you guys.” They wanted to give their own customers that same experience. We’ve signed some big AI companies like Anthropic, Cursor, Eleven Labs, as well as more traditional companies, like JPMorgan Chase. For me, it is incredibly meaningful to see those logos come through. It validates that Agree.com is becoming part of how serious companies actually do business.

How is AI changing what’s possible with Agree.com?

We create some really powerful “wow” moments with AI. Through our MCP server, customers can use Claude or ChatGPT to create agreements, send invoices, create subscriptions, update contacts, and run reports. I have finance teams tell me they can finally run highly specific reports they have wanted for years. We use it internally, too: Claude can review my meeting notes, identify when a prospect has said yes, generate the contract with the agreed pricing and contact information, and hand it to me ready to review and send. That level of automation can make an entire revenue workflow feel like it is on autopilot.

How has your background influenced your approach to building Agree.com?

I’m a repeat founder, and I have personally lived the accounts-receivable pain we are solving. I started my first business when I was about 22 and landed six-figure deals with Fortune 500 companies. Those contracts had net-60 payment terms, and I assumed that meant I would be paid on day 60. Instead, many of those companies paid months late. I was the person manually sending reminders and feeling like the bad guy just for asking to be paid. That experience shaped Agree.com’s founding thesis: e-signature is a commodity that people do not want to pay for, so we can offer it for free and build a much better payments and accounts-receivable business around it. My co-founders and I have brought that firsthand experience into many of our product decisions.

Any advice?

Prioritize your health, because if you’re not mentally, physically, and emotionally healthy, the business isn’t going to be healthy either.

Fun fact:

I rescued two small parrots. I found one on the side of the road, tried to find its owner through vets, pet stores, and flyers, and eventually realized it had likely been abandoned. Since parrots are social animals, I had to get her a companion. I never imagined I would become a bird person, but now I have two little parrots chirping away in the other room.

From the archives: Listen to Marty Ringlein with Andy Ambrose on the Venture Everywhere podcast: Let’s Agree to Agree.com. Now on Apple & Spotify. Check out all our past episodes here!

We invested in Starcloud because the team is working on one of the most important infrastructure questions of the AI era: where will the next generation of compute live?

AI is often discussed as a model, software, or chip story. But the more it scales, the more it becomes a physical infrastructure story. Data centers need power. They need cooling. They need land, permitting, interconnection, supply chains, and massive capital deployment. The constraints are not theoretical; they are already shaping where and how AI systems can be built.

Starcloud is taking a very different approach: orbital data centers.

The company is developing compute infrastructure in space, where satellites can use continuous solar power and the thermal environment of orbit to support AI workloads beyond the limits of terrestrial facilities. That idea sounds futuristic until you look at the direction of AI demand. If compute keeps becoming one of the defining scarce resources of the next decade, then expanding the geography of compute is not a novelty. It is infrastructure.

The team is already proving pieces of the system. TechCrunch notes that Starcloud is the only company it knows of currently operating an Nvidia H100 terrestrial data center GPU in orbit, and the first to train a model using it. That experience is informing Nvidia’s work on a purpose-built space GPU, the Vera Rubin Space-1 chip.

The company is also thinking beyond one spacecraft. TechCrunch reports that Starcloud has requested permission from the FCC to operate 88,000 spacecraft and is working to secure future launch capacity as access to space becomes more constrained. Near term, the company is focused on launching two Starcloud-2 satellites in 2027, each designed for 8 kW compute and intended to perform orbital inference tasks for customers including U.S. government agencies. Longer term, Starcloud is building toward a much larger orbital inference layer.

This is exactly the kind of deep tech company we are excited to back: technically ambitious, infrastructure-defining, and built around a constraint that is only becoming more important. Orbital data centers sit at the intersection of space, AI, energy, chips, launch, and manufacturing. It is a hard problem, but it is also a category-defining one.

Congratulations to Philip Johnston, Ezra Feilden, Adi Oltean, and the entire Starcloud team on a major financing milestone and an even bigger vision for the future of compute.

Read the full TechCrunch article.

Interested in investing alongside Everywhere Ventures? Learn more about joining our investor community here.

Fishwife’s new limited-time partnership with Sweetgreen brings the brand into one of the most visible fast-casual food routines in the country. The collaboration includes two menu items: the Fishwife Summer Niçoise, made with Spanish lemon albacore tuna, soft egg, summer vegetables, and lemon-tarragon vinaigrette; and Omega Glow, a rice bowl with miso-glazed salmon and Sweetgreen’s new miso sesame ginger dressing.

Food Network’s review gave the clearest read on why the collaboration works. The writer called the Fishwife Summer Niçoise the best and most sophisticated salad they had ever had from Sweetgreen, praising the lemon-tarragon dressing and Mediterranean feel of the bowl. Their only real ask: make it permanent.

That response matters because Fishwife has never been just about canned seafood as a commodity. The brand has helped reframe tinned fish as colorful, design-forward, premium, and culturally current. It is the kind of category work that turns a shelf-stable product into something people talk about, gift, photograph, and build meals around.

Sweetgreen is a natural next stage for that story. The collaboration takes the Fishwife brand out of the pantry and into an everyday lunch decision, showing how tinned fish can fit into the habits of customers who may not have thought of it as part of their regular rotation.

It is also a reminder that consumer-category shifts often show up first as taste, design, and culture before they show up as scale. Fishwife made tinned fish feel modern and desirable; Sweetgreen gives that movement a mainstream, highly visible format.

Congrats to Becca Millstein and the Fishwife team on a partnership that captures where the category is headed: premium, playful, and increasingly part of everyday food culture.

Read the Food Network review.

Interested in investing alongside Everywhere Ventures? Learn more about joining our investor community here.