ATLAS: Your funding helps people. What could it do next?
Build evidence before the next commitment.
Patients, providers, and funders see different parts of the same problem. Atlas starts with the people your program serves: investigating gaps in understanding, building the smallest useful version, and testing critical assumptions with intended users.
Each engagement produces a working model or an applied decision framework, plus a written recommendation with sources and findings. This repeatable research and development process exposes uncertainty early, so you can decide whether to continue, change, pause, or stop.
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Make the next commitment count
• Your funding already helps people. What could work better, faster, more consistently—or at lower cost?
• A new grant, renewal, or year-end decision is approaching.
• AI is one opportunity to investigate; gains and tradeoffs need evidence.
What you receive
• fhilabs provides fractional innovation capacity for impact funders.
• A fixed number of days agreed upfront; scope and patient access confirmed at start.
• A working model or a decision framework applied to your commitment.
• Written advice with sources, findings, and remaining uncertainties.
• Pause: conditions and evidence needed before more capital moves.
Illustration: severe pain
• A funded support program serves a woman with painful spinal inflammation and chronic, severe pain.
• Build: a ChatGPT video guide, copy-and-paste research prompts, and a symptom log.
• Test with her: does self-led research help alleviate day-to-day symptoms?
• Can she log daily symptoms clearly and prepare useful information and questions for appointments with her physician or medical provider?