Rhizome Warns of Growing Wildfire Risk as Research Capacity Declines
Mishal Thadani of Rhizome highlights how reduced research capacity could widen the gap between wildfire risk and preparedness.
Wildfires rarely begin as large-scale disasters. They start as subtle shifts—drier vegetation, rising temperatures, changing wind patterns—signals that, if understood early enough, can change outcomes entirely. But increasingly, the systems designed to monitor and interpret those signals are under strain. Research stations are closing. Data pipelines are thinning. And in many cases, the people responsible for managing risk are left operating with incomplete visibility.
That’s the gap Rhizome is stepping into.
Rhizome works with utilities and grid operators—organizations that sit directly in the path of wildfire exposure. Their platform translates environmental and infrastructure data into clear, operational insight: where risk is forming, how it’s evolving, and what actions can be taken before a spark becomes something far more costly.
From the outside, it can look like a data problem. In reality, it’s a decision-making problem. When risk isn’t well understood, responses tend to be blunt—broad power shutoffs, reactive measures, and trade-offs that carry real consequences for communities. What Rhizome enables is something more precise. A way to act with context, not just caution.
When we first spent time with the team, what stood out wasn’t just the technical approach, but how grounded it was in the realities of the people using it. Utilities don’t need more dashboards—they need clarity in moments that matter. That focus on usability, on translating complexity into something actionable, felt both pragmatic and necessary.
It’s also where Mishal Thadani brings a clear point of view. He’s spoken about the growing concern around the loss of wildfire research infrastructure, particularly in high-risk regions like California and Oregon. The implication is straightforward: as foundational systems weaken, the burden shifts to new layers of intelligence to fill that gap. Not as a replacement, but as an adaptation to a changing reality.
That perspective shaped how Rhizome is being built. Not as a static model of risk, but as a living system—one that continuously ingests environmental signals and reflects how conditions are changing in real time. It’s less about predicting a single outcome, and more about helping operators stay aligned with a dynamic environment.
From an investment standpoint, this is the kind of work that tends to matter more over time. It sits at the intersection of climate, infrastructure, and decision-making—areas where the cost of inaction is rising, and where better tools can meaningfully shift outcomes.
What makes it compelling isn’t just the scale of the problem, but the specificity of the solution. Rhizome isn’t trying to solve everything. It’s focused on a critical layer—helping the systems we rely on every day become more aware, more responsive, and ultimately more resilient.
Looking ahead, it’s hard to imagine a future where infrastructure operates without this kind of intelligence embedded into it. As risks become more complex and less predictable, the ability to see clearly—and act early—becomes foundational.
Rhizome is building toward that future, one decision at a time.
Read the full article on Fast Company