Cognisee
Cognisee is building a cognitive layer for AI that captures tacit human expertise—expert judgment, embodied skill, and institutional memory—and makes it usable by AI agents and systems. The company develops Wisdom Vaults, Tacit Reasoners, and Second Brain Architectures to enable human-AI systems that learn and reason together over time. Its technology targets high-stakes domains such as industrial operations, healthcare, and defense, where ambiguous conditions require contextual judgment beyond pattern-matching.
- Artificial Intelligence
- AI Agents
- Software Only
- Enterprise Software
Funding
Founders
Founder details are not available yet.
Product
Problem
Current AI systems learn primarily from recorded data such as text, labels, demonstrations, and logs, missing the most valuable knowledge that exists outside datasets. This knowledge lives in expert judgment, embodied skill, institutional memory, and local context—especially in ambiguous, high-stakes situations where decisions carry significant consequences.
Solution
Cognisee is building the missing cognitive layer for AI by surfacing tacit human expertise, structuring it, and making it usable by humans, agents, machines, and institutions. The company is developing three core primitives: Wisdom Vaults as sovereign stores of tacit expertise and institutional memory, Tacit Reasoners that apply this knowledge, and Second Brain Architectures that enable human-AI systems to learn, reason, and improve together over time. Together, these capabilities form Artificial Collective Intelligence—distributed human-AI systems that compound knowledge across people, tools, agents, machines, and time. This approach equips AI with the contextual judgment needed to operate reliably in high-stakes domains.
Target Audience
Cognisee targets organizations deploying agentic and physical AI systems in high-stakes environments—such as industrial operations, healthcare, defense, and critical infrastructure—as well as expert institutions including nations, enterprises, research groups, and communities seeking AI grounded in their own knowledge and sovereignty.
Features
- Wisdom Vaults designed as sovereign, structured repositories for expert knowledge, context, and institutional memory
- Tacit Reasoners that operationalize unstructured expertise into reasoning capabilities for AI agents
- Second Brain Architectures enabling collaborative learning loops between human experts and AI systems
- Focus on high-stakes scenarios where ambiguous conditions require adaptive judgment beyond pattern-matching
- Application to agentic AI systems that plan, coordinate, and execute complex work with persistent context and human judgment in the loop
- Application to physical AI, including robotics and embodied systems that learn from human skill, sensorimotor feedback, and real-world adaptation