The first species-agnostic cognitive architecture
Trained only on human data, for human tasks
Limited by training datasets, can't learn from raw experience
No transparency into how decisions are made
Can't adapt to new environments or species
Real-time cognitive graph with moment tracking
createMoment(visual, audio, context)
Identity, Emotions, Ethics, Goals, Attention
ethicalConstraints.neverHarm = true
User-isolated cognitive spaces
userGraph.persistAcrossSessions()
WebSocket-driven, ever-present cognition
websocket.livePerceptionStream()
Biological Intelligence
Constitutional AI
Scaling & Fine-tuning
Founder & Cognitive Architect
"The next breakthrough in intelligence won't come from Silicon Valley - it will come from someone who understands systems at their most fundamental level."
Cognitive engine for AI applications
Private cognitive deployments
Global cognitive network
This isn't incremental improvement. It's a fundamental paradigm shift in how intelligence works.
Ready to discuss the future of intelligence?
founder@centrigon.com