Medicine that learns
from every patient.
Every day, millions of patients generate clinical data that could save someone else's life. We are building the infrastructure to turn that lived experience into life-saving evidence.
The world collects more clinical data than ever. Most of it never becomes evidence.
A single real-world evidence study costs $100K–$1M and takes 6–18 months. Not because the analysis is hard, but because 80% of the time goes into data plumbing. Cleaning records, mapping schemas, structuring formats. All before anyone can run a single model.
Meanwhile, clinical patterns hide in patient data for years before human intuition catches up. Dangerous drugs go undetected. Effective treatments sit untested for new populations. The expertise exists. The data exists. The process between them is what's broken.
Our Principles
These aren't aspirational statements on a wall. They're the decisions we make every day, especially when no one is watching.
Your Success Is Our Mission
We work backwards from your hardest evidence problem, not our product roadmap. When you’re up against a deadline, we’re in the trenches with you, founders included. Every customer has a direct line to the people building the platform. No ticket queues, no escalation chains. Your success is our success. We will relocate, embed with your team, navigate your legacy IT environment, and do whatever it takes to make you win.
Bias for Action
We respond within 10 minutes, 24/7. Not a chatbot. Not a ticket acknowledgment. A human who understands your study and can move on it immediately. When you hit a bottleneck, we don’t schedule a discovery call for next week. We build the solution and ship it. Speed matters when patients are waiting for evidence.
Science Cannot Be Shortcut
Speed without rigor is recklessness in healthcare. Every analysis follows established epidemiological and statistical methodology: propensity score matching, sensitivity analyses, the full toolkit. If a method isn’t scientifically defensible, we don’t implement it. No exceptions. We’d rather be slow and right than fast and indefensible.
Radical Transparency
Every line of generated code is visible. Every data transformation is logged. Every statistical choice is documented and reproducible. We don’t ask you to trust a black box. We give you complete visibility so you can verify every step yourself.
No Clinical Data Touches AI. Ever.
This is our founding architectural principle. AI models generate code. Execution happens in a secure, sandboxed environment. Patient data never crosses the boundary. We made this decision on day one because it’s the right way to build evidence infrastructure for healthcare. It constrains what we can build. We accept that tradeoff completely.
What changes when evidence generation takes minutes instead of months?
Faster evidence doesn't just save time and money. It shifts what's possible across drug safety, clinical trials, and patient care.
Test every hypothesis, not just the one you can afford
When each study costs $100K–$1M, teams ration questions. Fast evidence generation shifts the constraint from “how many studies can we budget for?” to “what questions should we be asking?”
Catch safety signals years earlier
94% of adverse drug reactions go undetected by spontaneous reporting. In the Vioxx case, the risk signal was detectable 3.5 years before withdrawal — but no one ran the analysis fast enough.
Build external control arms instead of placebo groups
In life-threatening conditions, putting patients on placebo is increasingly unjustifiable. External control arms built from real-world data let all trial participants receive active treatment — 45 FDA approvals have used this approach.
Let biostatisticians focus on science, not plumbing
Highly trained biostatisticians are spending 80% of their time cleaning records and mapping schemas. Automating the deterministic, process-heavy plumbing returns their focus to methodological rigor and clinical interpretation.
Move from reactive to proactive
Today, drug performance monitoring is reactive — you wait for a spontaneous report or a CRO deliverable. But the signals are already sitting in claims data, EHR records, and prescribing databases, waiting for someone to look.
Someone is waiting for each of these studies. The bottleneck shouldn't be the evidence infrastructure.
Help us build medicine's learning system.
We're looking for exceptional engineers, biostatisticians, and healthcare technologists who believe evidence generation shouldn't be the bottleneck to saving lives.
View Open Positions