Building the Cognitive Infrastructure
of the Post-LLM World
The nervous system connecting human and machine cognition into collective intelligence
What We're Not
- ✗Another AI model
- ✗A productivity tool
- ✗A note-taking app
What We Are
Cognitive infrastructure — the foundational layer for intelligent decision-making
We capture why, how, and what-if — not just outputs.
Our Vision for 2028
1M+ engineers connected through shared CognitiveX infrastructure
Exchanging reasoning patterns, building collective intelligence, adding cognition to machine work
The 4-Layer Architecture
Layer 1: Memory
85% CompleteSemantic storage & retrieval
- • Vector embeddings & pgvector
- • Hybrid search (semantic + keyword + recency)
- • 80% cost reduction through intelligent caching
Layer 2: Cognition
60% CompleteReasoning, patterns, insights
- • Reflection engine capturing reasoning
- • Pattern recognition & extraction
- • Interactive reasoning graph visualization
Layer 3: Decision
20% In ProgressAdaptive, self-correcting choices
- • Policy learning for optimal decisions
- • Adaptive routing algorithms
- • Context-aware recommendations
Layer 4: Collective
PlannedShared intelligence network
- • Federated learning across engineers
- • Privacy-preserving pattern sharing
- • Network effects at scale
What Makes Us Different
Capture Reasoning
Not just "we use microservices" but why, how, and what alternatives were considered
Pattern Recognition
Automatically identify reusable patterns from your reasoning with triggers, steps, and success metrics
Collective Intelligence
Share patterns without exposing code through privacy-preserving federated learning
Platform Stats
Market Position
The only cognitive infrastructure platform with a 4-layer architecture
OpenAI, Anthropic, Google • LangChain • RAG Frameworks • Knowledge Management Tools
We're not competing with them. We're building the layer above.