When AI Gets It Wrong, Mixus Brings Humans Back Into the Loop
Mixus is the first AI business platform to combine human and artificial intelligence – unlocking the full power of generative AI and agents, without the downside risk.
In a world where AI “hallucinations” have become an industry euphemism for dangerously wrong answers, one startup is pushing back with something refreshingly analog: people. Mixus, co-founded by Shai Magzimof and Elliot Katz, is on a mission to make AI safer, smarter, and more enterprise-ready by weaving human review into the heart of its workflow.
As featured in Forbes, Mixus is gaining traction for its novel “colleague-in-the-loop” model—a hybrid approach that ensures no AI output goes live without a second pair of (human) eyes. The platform isn’t just another AI tool; it’s an intentional counterweight to the unchecked autonomy of current-generation models that still get things wrong—frequently and sometimes catastrophically.
Hallucinations, Meet Your Match
Today’s most advanced AI models, including OpenAI’s own, still struggle mightily with accuracy. The o3 model has been shown to hallucinate over 50% of the time; the o4-mini fares even worse, with nearly 80% of its responses containing misinformation. Mixus directly addresses this issue by ensuring that every AI-generated response is routed through a human expert before it’s finalized or shared.
Whether it’s drafting a client email, generating a social media post, or screening candidates for a job, Mixus’ AI agents don’t act alone. Instead, they loop in trusted colleagues—real people—who review, verify, and approve content before anything goes live. In this model, AI doesn’t replace you; it works with you.
Build an Agent in Minutes—No Tech Background Needed
Mixus makes it radically simple for anyone to build an AI agent—no coding required. Users just describe what they want the agent to do, and within seconds, Mixus spins up a functional AI workflow that includes built-in checkpoints for human verification. The goal? To give teams the power of automation without sacrificing trust, accuracy, or brand integrity.
The startup’s early users are seeing the benefits of this approach, especially in corporate environments where one AI error can carry outsized risk. What started as a consumer-facing AI chat product has now become a business-first platform prioritizing organizational oversight and ease of use.
From Chatbots to Colleagues: A Shift Toward Enterprise AI
Following a successful $2.6 million pre-seed raise, Mixus is now focusing squarely on enterprise customers. While individual users can still explore the platform through a 14-day free trial, the long-term vision is crystal clear: AI that works within company workflows, not outside them.
By positioning itself as a human-centered AI infrastructure layer, Mixus is offering more than just a product—it’s pitching peace of mind. And for businesses hesitant to roll out AI at scale due to fear of misinformation, that’s a compelling proposition.
Closing the Trust Gap in AI
Elliot Katz puts it best: “By bringing colleagues into the loop, you get the full power of AI agents—the efficiency and the time savings—without the downside risk of AI mistakes going undetected.” In a tech landscape obsessed with speed and autonomy, Mixus is betting on something slower, smarter, and far more human. And as businesses grow warier of unchecked automation, it may just be the kind of AI we’ve been waiting for.
Read more on Forbes
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