Our Roadmap
From fragmented data to life-saving breakthroughs — see the path we're building and how far we've come.
We Can't See Them Until It's Too Late
Someone will take their own life today. We have no reliable way to know who.
Fifty years of research. Hundreds of studies. Billions of dollars. And our ability to predict suicide hasn't improved at all. The field's best risk assessments perform only marginally better than a coin flip.
Among those labeled "high risk," 95% won't attempt. For every person we might catch, we miss 19 we never saw coming.
This isn't a failure of effort. It's a failure of visibility.
We know the risk factors: depression, prior attempts, substance use, trauma. But these describe populations, not individuals. Millions share these markers. Only a fraction will die. We can't tell the difference because we've never been able to study the complete journey—the behavioral shifts, the digital signals, the moments of crisis that distinguish those who die from those who don't.
That data exists. It's scattered across devices, platforms, healthcare systems, and institutions that were never designed to connect.
The current system can't solve this. It was never built to.
When We Can Finally See the Full Picture
For the first time, researchers could study not just risk factors in isolation—but the complete, complex journey that precedes suicide. The patterns that distinguish those who die from those who don't.
What does the data look like in the final months? The final weeks? The final days? We've never been able to answer these questions. With connected data, we can.
In the near term, that means sharper tools: risk models that actually differentiate, warning signs detected earlier, interventions targeted to the people who need them most—not the millions who share the same broad markers.
At scale, something bigger becomes possible. A research ecosystem where every study builds on the last. Where insights compound across institutions, populations, and data sources. Where the field finally moves forward instead of rediscovering the same limitations.
We're not promising a cure. Suicide is complex, and it will remain complex. But we can get meaningfully better at seeing who is in danger—and reaching them before it's too late.
That's the future we're building toward.
Our roadmap to ending suicide
We're solving suicide prevention's biggest barrier: fragmented data. By creating a privacy-preserving federated platform, we enable unprecedented research across diverse data sources without compromising security or control. Each milestone brings us closer to discoveries that will save lives.
The breakthrough that changes everything
We're currently building something that has never been done in suicide research: a federated data platform that enables analysis across multiple siloed datasets without ever moving the data. This solves the field's biggest barrier—privacy concerns and data control issues that have prevented comprehensive research.
When complete, researchers will analyze data across diverse sources while each custodian maintains full control and privacy. This infrastructure will enable research questions that are currently impossible to answer, unlocking insights that could save lives at scale.
Real-World Impact
Once the federated platform reaches global scale, it unlocks transformative applications across AI safety and healthcare—turning research insights into real-world tools that save lives.
AI Safety Applications
Validated insights that help AI companies build safer systems.
Healthcare Applications
Tools that help clinicians and health systems intervene earlier and more effectively.