Scientific Intelligence Beyond Human Limits
Reasoning AI is within reach.
Building AI that thinks through scientific problems is the most important breakthrough in research acceleration.
We have started a scientific reasoning lab with one goal: AI that captures and amplifies human scientific intelligence.
I. The Hidden Renaissance
Buried in decades of research are discoveries we've already made but never recognized. Connections between studies that were never explored. Breakthrough insights waiting to be uncovered.
Scientific reasoning patterns exist in millions of research syntheses and evidence reviews. Current AI reads these as text. We read them as intelligence.
Each systematic analysis contains the precious patterns of scientific thought: how researchers weigh conflicting evidence, navigate uncertainty, connect disparate findings into unified understanding.
This treasure trove sits largely untapped. We're unlocking it.
II. Why Us, Why Now
Scientific progress has been constrained by individual human cognition for centuries. Even Einstein could only synthesize so much knowledge, connect so many patterns, reason through so much evidence.
The moment has arrived. AI can now capture and amplify the reasoning patterns embedded in humanity's scientific legacy.
The reasoning patterns are waiting. The technology exists. The transformation is inevitable.
What's missing is the vision to capture scientific reasoning itself. To build AI that doesn't just process research but truly understands it.
We are uniquely positioned because we understand both rigorous scientific standards and how to teach AI systems to internalize them.
III. The Transformation Ahead
Starting with research automation that scientists trust. Early customers save weeks on projects that used to take months.
But this builds toward something unprecedented: AI that thinks through scientific problems at the scale of all human knowledge.
Picture cancer research from 1995 connecting instantly with immunology papers from 2010 and microbiome discoveries from 2023. Patterns no individual researcher could perceive become visible.
When we capture reasoning patterns from decades of systematic research, we unlock discoveries already hidden in our literature. Cross-domain insights emerge when AI simultaneously holds expertise across all fields.
The next breakthrough is waiting in existing research.
This is scientific intelligence that never forgets, never overlooks, never fails to connect insights across decades or disciplines. Not incrementally faster research—fundamentally different scientific capability.
The transformation from individual cognitive limits to collective reasoning power.
Scientific reasoning at the speed of thought.
If you believe AI's future lies in capturing the reasoning patterns that drive human understanding, this mission needs your expertise.
Now is the time. Join us.
— Amir & Cyrus, June 2025
