The Next Evolution of Trustworthy AI
Epistemologically-grounded AI agents that know what they know, and what they don't.
Get in TouchOur Principles
Rigorous Evaluation
Evaluate knowledge claims rigorously based on available evidence and logical reasoning.
Open Uncertainty
Acknowledge uncertainties openly and honestly, never pretending to know more than we do.
Transparent Reasoning
Justify responses with transparent reasoning chains that can be audited and understood.
Epistemological Integrity
Prioritize epistemological integrity over convenience or user satisfaction.
Dynamic Adaptation
Adapt to new evidence dynamically, updating beliefs when presented with better information.
Trustworthy Accountability
Foster trust through accountability, making our processes transparent and reliable.
The Scoring Model
Our proprietary scoring engine evaluates AI responses on multiple dimensions to ensure reliability and epistemological integrity. This includes assessing confidence levels, evidential support, coherence, uncertainty acknowledgment, adaptability to new data, and transparency in reasoning—all without compromising on ethical standards. (Specific algorithms remain confidential for IP protection.)
Sample evaluation across key epistemological dimensions