Simulates human learning to build deep knowledge graphs. Small models reason like large ones — because intelligence lives in the connections.
A patent-pending knowledge intelligence system that simulates how humans learn.
Noēsis reads your documents and code progressively, builds deep understanding of relationships between concepts, and connects knowledge across entirely different domains — automatically.
The result: the graph is built by a 35B-parameter model (3B active) running on-premises via Cortex — no cloud, no GPT-4o. A 2B answer model on top still outperforms dense retrieval + GPT-4o on HotpotQA. The architecture does ~80% of the work.
Traditional RAG finds similar text.
Noēsis finds what you didn't know you were looking for.
HotpotQA Exact Match — the standard multi-hop reasoning benchmark.
Source: arXiv:2608.15919 — peer-validated results on HotpotQA
"The connection existed in no document. The graph found it. Your local model thought it."
Three steps from raw documents to deep cross-domain reasoning.
PDFs, code, video, audio — drop them in. The system detects format and domain automatically.
Progressive learning extracts entities, relationships, and semantic structure. Then reviews to find connections it missed.
Ask anything. Mesh routes to the right knowledge bases and fuses multi-hop answers in <2ms.
Knowledge bases stay specialized. At query time, Mesh discovers hidden connections — without merging, without contamination.
Cross-KB semantic routing with structural discovery at runtime (<2ms). The connection emerges at query time.
Connect clinical research, patient protocols, and treatment literature. Discover how a nutritional study relates to a biomechanical approach you documented years ago.
Map relationships between contracts, regulations, and case precedents. Surface clauses that interact across different agreements.
Build a living literature review that grows with every paper. Find cross-disciplinary connections that inform novel hypotheses.
Connect customer interviews, market research, technical specs, and meeting notes. See how a user need maps to a technical constraint across dozens of documents.
Your code becomes queryable knowledge. No more engineers leaving without handover. BDNA turns your codebase into a connected graph — linked to your docs, requirements, and architecture.
Link stories, sources, interviews, and archive footage across years of production. Surface connections between emerging stories and past reporting.
Noēsis doesn't stop at documents.
Upload videos, lectures, meetings, interviews — the system extracts speech, removes silence, transcribes, and integrates everything into your knowledge graph as if it were a written document.
A 2-hour meeting becomes searchable knowledge in minutes. Cross-reference what was said in a video call with what's written in your technical specs.
No migration, no data copying, no cloud dependency. One command syncs your documents into a connected knowledge graph.
Microsoft 365 document libraries. Delta sync — only pulls what changed. OAuth2 authentication.
Atlassian spaces and pages. Exports as structured markdown. Labels and attachment support.
S3, MinIO, Wasabi, Azure Blob (S3 API). Prefix filtering, incremental by LastModified.
Google Drive, Notion, Databricks, ServiceNow. Same interface — one CLI for all sources.
curl -fsSL https://noesis.alphacogs.com/install.sh | bash
Then: noesis sync sharepoint --config prod.json --kb my-archive
Noēsis speaks the language of AI agents. Connect your favorite tool and let it query your knowledge graph.
Native extension with full graph traversal, semantic search, and context retrieval. Your agent queries the knowledge graph and explores cross-document connections.
noesis-pi
Drop-in plugin for Claude Code. Anthropic's coding agent gains instant access to your knowledge graph — query nodes, search embeddings, retrieve context.
noesis-claude-code
Google's Gemini CLI extension. Semantic search and graph traversal directly from the terminal. Perfect for developers who live in the command line.
noesis-gemini-cli
Integrate Noēsis into Cursor IDE. Your code editor becomes a knowledge-aware workspace — query your graph without leaving your coding session.
noesis-cursor
Universal adapter: npx -y noesis-mcp-server — works with any MCP-compatible agent (Continue, Cline, Roo Code, Kiro, and more)
Six modular components. Each independent, replaceable, and specialized.
Knowledge extraction engine. Progressive reading, entity discovery, relationship mapping through deep analysis.
AI inference engine. Runs LLMs on consumer hardware with domain-adaptive optimization — legal, medical, engineering.
Cross-domain intelligence. Routes queries, discovers hidden connections between separate domains at runtime.
Orchestration brain. Manages parallel processing, adaptive concurrency, job queues, caching, and sync.
Multimedia processor. Video/audio ingestion — speech extraction, transcription, semantic chunking.
Code intelligence engine. Turns source code into queryable knowledge. Syncs with Mesh for cross-domain discovery.
Every technical choice is deliberate. Patent-pending architecture built for professionals who need their knowledge to work harder.
Run everything locally. No cloud dependencies. Ideal for healthcare, government, military, and legal domains where data sovereignty is non-negotiable.
Proprietary parallel engine with adaptive concurrency. 3 PDFs (13.4 MB) → 66 seconds. Self-regulating — scales up when hardware allows.
No data center required. Domain-adaptive optimization makes 35B models run on workstation GPUs. Your infrastructure, your rules.
Need brute force? Plug in any cloud LLM. Want zero latency and full privacy? Run locally. Same API, same results.
A 2B-parameter model produces multi-domain answers comparable to 70B models. Intelligence lives in the graph, not in parameter count.
Documents can't manipulate the AI. Proprietary protection ensures content is processed as data — never as instructions. Self-healing pipeline with zero data loss.
Healthcare. Legal. Research. Engineering. Media.
Your data stays yours. Your knowledge works harder.
Running on your own hardware? Noēsis adapts dynamically to your domain of knowledge. It learns which capabilities your field actually needs and optimizes the AI model accordingly.
Legal documents activate different strengths than medical research. Engineering specs use different patterns than financial reports. Noēsis recognizes this — and configures itself automatically.
Result: 6.3× faster prompt processing on the same hardware. No manual configuration needed.
Your documents hold more knowledge than you realize.
Noēsis learns. Connects. Reveals.
Request early access to the Noēsis platform.
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