San Francisco – Epistemic Me, a frontier AI research and development organization, today announced the launch of its belief-centered AI SDK and epistemic evaluation system, a dual platform that empowers developers, researchers, and organizations to model, measure, and evolve human understanding in artificial intelligence.
The company’s mission is clear:
“If we don’t understand ourselves, how can AI understand us?” — Robert Ta, Co-Founder of Epistemic Me
Built on open principles and rigorous epistemic evaluation, the SDK enables a new standard for AI personalization, transparency, and reliability — designed to help humanity align its technological progress with its inner knowledge systems.
Introducing Epistemic Evals: Measuring Understanding Itself
At the heart of Epistemic Me’s innovation lies its epistemic evaluation (Epistemic Evals) framework — a methodology for evaluating not just what AI outputs, but how AI understands.
Traditional AI evaluation metrics measure accuracy, performance, or bias. Epistemic Evals go deeper — assessing coherence, belief formation, self-consistency, and the reasoning quality behind AI decisions.
This new layer of evaluation unlocks a major advance in the field of LLM evaluation and human-AI alignment:
Belief Graph Evaluations: Measure the coherence and consistency of an AI’s internal models of human beliefs.
Behavioral Alignment Metrics: Track whether AI systems act in accordance with their modeled “understanding” of human context.
Philosophical Validity Checks: Evaluate whether AI outputs align with epistemic integrity — truthfulness, justification, and interpretive depth.
Self-Alignment Scoring: Quantify the “fit” between user identity, goals, and AI reflections — an entirely new form of evaluation for personal growth and adaptive intelligence.
A Paradigm Shift in AI Evaluation and Alignment
By merging belief modeling with epistemic evaluation, Epistemic Me provides developers with a toolkit for building truly intelligent systems — those that understand their own understanding. This framework supports everything from LLM pipeline analysis to personal growth applications, enabling a more reflective, transparent, and ethical AI ecosystem.
The SDK’s early applications include:
Human-Centered AI Development: Precision tools for measuring how AI systems reason about human data and beliefs.
Health and Longevity Coaching: Evaluation of self-consistency in AI health guidance.
Decision Support Systems: Evals for interpretability and reasoning transparency in high-stakes contexts.
Educational AI Systems: Assessing epistemic growth in learners and AI tutors alike.
About Epistemic Me
Epistemic Me is redefining the relationship between human cognition and artificial intelligence. Founded by Robert Ta (ex-Workday), Jonathan McCoy, and Deen Aariff (ex-Stripe), the company builds open-source tools for modeling, measuring, and evolving human understanding through AI.
Its long-term vision is to establish a universal framework for epistemic alignment — enabling AI systems that learn not just from data, but from truth, coherence, and self-reflection.
“We don’t build smarter machines — we build systems that know what they know, and what they don’t.” — Robert Ta
Media Contact
Company Name: Epistemic Me Inc.
Contact Person: Robert Ta
Email: Send Email
Country: United States
Website: https://epistemicme.ai
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