ConFuse: AI-powered context unification.
Stop hunting for context. Start shipping with it.
Your repositories, documentation, conversations, and logs — connected in one living context layer. Every answer, for every teammate and every AI agent, is grounded in what your team actually knows.
The problem
Your knowledge is everywhere.
And that means it's nowhere.
Teams don't lack information — they lack a way to hold it all at once. The cost shows up as wrong answers, slow ramps, and decisions made on stale context.
Knowledge is scattered
A bit in the repos. A bit in the docs. The rest buried in chat threads and log streams. Nobody has the whole picture.
AI that guesses
Assistants answer without your context — confidently, and often wrong. Trust erodes with every made-up detail.
Onboarding takes weeks
The 'why' behind the code lives in people's heads. New teammates re-ask the same questions in every channel.
Answers go stale
The moment code changes, every doc and every cached answer drifts out of date. Nobody knows what's still true.
The solution
One place that actually
knows your stack.
ConFuse turns the sprawl into a single, always-current context layer — and delivers it wherever questions get asked.
Connect
Bring your repositories, documentation, conversations, and logs together in minutes — no migration, no busywork.
Unify
ConFuse weaves them into one living context layer that understands how your work fits together and keeps itself current.
Ask
Get grounded answers with sources — in your browser, or inside the AI agents your team already uses.
Sources & Ingestion
Connect everything.
Repositories, documentation, and logs flow into one knowledge layer.
Multi-Source Connection
Connect repositories (GitHub, GitLab, Bitbucket), documentation, and logs natively. Combine code and knowledge into a single source of truth.
Real-Time Sync
Webhook-driven updates and an event pipeline keep your indexed context current the moment code, docs, or logs change.
Conversation Sources
Index chat-platform conversations alongside code and docs, so design decisions and Q&A stay searchable.
Broad Format Support
Source code, Markdown, rich documents, and web pages are parsed, chunked at natural boundaries, and indexed automatically.
Event-Driven Pipeline
Ingestion, chunking, embedding, and graph writes run as a streaming pipeline with automatic retries and a dead-letter queue.
Source Deletion
Remove a source and everything derived from it — chunks, embeddings, and graph nodes — leaves the knowledge base. No orphaned context.
Intelligence Layer
Understand everything.
Structure and meaning, extracted and fused at query time.
Knowledge Graph
Automatic relationship discovery and entity linking turn flat chunks into a navigable graph of your system.
Smart Embeddings
Every chunk is embedded into a high-dimensional vector index for semantic search and similarity matching.
Hybrid Retrieval
Vector search and deep graph traversal are fused per query, so answers balance meaning with structure.
Cross-Source Link Discovery
Semantic relationships between chunks from different sources are detected and stored alongside same-source structure.
Context Capsules
Each query returns an assembled, scoped context pack with sources cited — ready for humans or agents.
Temporal Dependency Links
Dependency edges carry time: changes link to the decisions and versions around them, so context has history, not just structure.
Agent Interface
Ask anything. Your agent calls a tool.
ConFuse is built for AI agents: one tool call returns grounded, permission-scoped context.
One Tool Call, Full Context
Your AI agent calls a single tool and gets grounded, permission-scoped context — no bespoke retrieval code, no vector-store wiring.
MCP Server for AI Agents
Agents connect over the Model Context Protocol and call a single get_context tool grounded in your workspace data.
Answers With Receipts
Every result cites the exact chunks it came from, so agents show provenance instead of guessing.
Code & Docs Together
One call spans code, documentation, conversations, and logs — the agent gets the whole picture without stitching sources together.
Graph Traversal
Agents follow relationships across the knowledge graph to answer multi-hop questions that similarity search alone cannot.
Structured Context
Results come back typed and structured — chunks, entities, and relationships — so agents can reason over them directly.
Security & Scale
Secure and scale.
Governance, quotas, and speed that hold up under real load.
Granular Security
Row-level security and explicit scoping. Authorized agents only access what they are explicitly permitted to see.
Team Collaboration
Shared workspaces with role-based access and read-only seats for stakeholders who just need visibility.
Low-Latency Retrieval
Optimized vector search paired with deep graph traversal serves complex multi-hop queries in milliseconds.
Full Observability
Structured logs with correlation IDs across every service make each request traceable end to end.
Enterprise Controls
SAML/SSO, custom VPC/IP isolation, and dedicated SLA options for high-scale, compliance-sensitive deployments.
No-Training Guarantee
Your code and documents are never used to train models — encrypted in transit and at rest, always.
Why ConFuse
Context you can trust.
Speed you can feel.
Teams reach for ConFuse when the cost of a wrong answer finally outweighs the cost of another tool.
Grounded answers, with receipts
Every answer points back to the exact source it came from — no guessing, no vibes, just citations you can click.
Always current
Change lands in your stack, context updates with it. What you ask today reflects what's true today.
Built for agents and humans
The same trusted context serves your dashboard and the AI agents wired into your workflow — one truth, two audiences.
Private by design
Your data stays yours: scoped access, row-level security, and explicit permissions for every agent and teammate.
Fast where it counts
Complex, multi-hop questions answered in milliseconds — because insight that arrives late is insight that never arrived.
Grows with you
From your first repository to enterprise scale, quotas and controls flex with your team — never a re-platform.