01 / PROMOTION
Certified self-improvement
Evaluate proposed changes without confusing adaptive benchmark gains for real population improvements.
REUSE framework
STATISTICAL FOUNDATIONS FOR AGENTIC AI
AI agents that evolve.
Trust that endures.
We are advancing the science of reliable AI agents—bringing statistical rigor to autonomous analysis, continual improvement, and decision-making.
RESEARCH-DRIVEN · BUILT FOR REAL-WORLD SCIENCE
OUR FOCUS
Rigorous statistical methodsTrustworthy agentic systemsOpen scientific research
THE PROBLEM
AI is moving faster.
Trust must keep up.
AI agents are no longer static tools. They search, decide, write code, and increasingly improve themselves. But a better benchmark score does not necessarily mean a truly better or statistically valid agent.
STATrust brings statistical thinking into the agent lifecycle: understanding what an agent has learned, what its evaluation actually proves, and when it is safe to move forward.
See how we approach the challenge ↗OUR TECHNOLOGY
From promising behavior
to defensible evidence.
Three complementary research directions help make evolving agents more reliable. Their guarantees apply under specific mathematical assumptions.
02 / VALIDITY
✓
Continual validation
Investigate how evolving analytical agents can maintain statistical error guarantees as their versions change.
Lifetime risk control
03 / DISCOVERY
Reliable agentic discovery
Account for an agent's search process when evaluating scientific findings and statistical evidence.
Replay-based inference
OUR PRINCIPLE
“An agent should not be trusted simply because it reports a better result. The evidence must support the claim.”
STATrust research vision✳
APPLICATIONS
Built for science.
Designed to expand.
Bioequivalence is our first application—not the limit of our ambition. We envision a family of research-oriented AI agents and statistical assurance tools.
FIRST APPLICATION · RESEARCH PROTOTYPE
BE↗
SkillForge-BE
An AI agent for bioequivalence statistical workflows, combining language-model orchestration with controlled statistical tools in Python and R.
In development
✳
Agent certification layer
Research software for evaluating proposed updates, validating agent behavior, and integrating statistical safeguards into agent development workflows.
Research roadmap
THE SCIENCE BEHIND IT
Research first.
Always.
STATrust draws on research in adaptive data analysis, statistical testing, and autonomous AI systems. We aim to turn sound mathematical ideas into practical tools.
Explore REUSE research ↗SELECTED RESEARCH DIRECTIONREUSE
Which self-improvements should we trust?
Reliable self-improvement when agents reuse their benchmarks.
WHAT'S NEXT
Building a more
trustworthy AI future.
Interested in research collaboration, early product feedback, or exploring statistically grounded agentic AI?