About Us
We're building the future of AI knowledge management, where concepts have perfect coherence and logical integrity.
Our Mission
To create AI systems that can maintain perfect contextual knowledge and logical consistency, eliminating the plague of prompt amnesia and contradictory responses.
Our Vision
A world where AI systems can build upon knowledge over time, creating genuine institutional memory that grows more valuable with each interaction.
Our Values
Knowledge integrity, logical coherence, and the pursuit of truth guide every aspect of our product development and company culture.
Our Story
ConceptDB was founded in 2023 by a team of AI researchers and knowledge representation experts who recognized a fundamental limitation in current AI systems: their inability to maintain context and consistency across interactions.
We saw that even the most advanced language models would "forget" information from one prompt to the next, leading to contradictory responses and an inability to build coherent knowledge over time. This "prompt amnesia" problem became our mission to solve.
After years of research in knowledge representation, formal logic, and AI systems, we developed ConceptDB - the world's first operational knowledge graph specifically designed to give AI systems perfect memory and logical consistency.
Our Core Values in Action
These principles guide how we build our products and conduct ourselves as an organization.
Knowledge Integrity
We believe AI systems should never sacrifice factual accuracy for convenience. Our technology ensures that all knowledge maintains its integrity across every interaction.
This means building systems that can verify consistency, identify contradictions, and maintain a clear record of conceptual relationships.
Logical Coherence
We are committed to building AI systems that maintain perfect logical consistency. This means that concepts relate to each other in ways that are formally verifiable.
Our approach eliminates the contradictions and logical errors that plague conventional AI responses, ensuring reliable reasoning across complex domains.
Pursuit of Truth
We are driven by a fundamental commitment to truth in AI systems. Rather than optimizing for helpfulness at the expense of accuracy, we prioritize verifiable knowledge.
This means creating systems that can distinguish between what they know and don't know, and that build knowledge systematically rather than inventing convenient but false information.