Your AI knows nothing about your business. Let's change that.
Every conversation starts from zero. Every prompt re-explains context that already exists. Apart Intelligence captures your organization's decisions, processes, and knowledge in a graph — then delivers it to every AI tool you use, automatically.
Limited beta — signups close when spots fill.
The real problem with AI.
It's not the models. It's the missing context.
$47M
Average annual productivity loss per US business from inefficient knowledge sharing.
Panopto
75%
of AI agent projects fail in production — because they lack context, not intelligence.
Superface
80–90%
of organizational knowledge is tacit — in people’s heads, not written down.
Context > Model. Environment > Use Case.
Right now, most people open Claude or ChatGPT, type something, get a response, and start over. Maybe they save a good prompt. Maybe they hit the token limit and start a new conversation. Maybe they spend half the message just re-explaining who they are and what they're working on.
That works for quick questions. It falls apart the moment you try to do real, ongoing work. You're burning tokens on stuff that doesn't matter. Every conversation starts from zero. And the AI has no idea what your organization has already decided, built, or documented.
Meanwhile, everyone is building AI agents for specific use cases. Most will fail or get replaced by a platform feature within months. You could spend a lot of time automating a use case with an AI agent, but if the interface and environmentfor those agents aren't right, the agent will fail — or the use case will simply be replaced by a feature somewhere else. Building specific AI agent use cases is attacking the problem at the wrong abstraction level.
The real leverage is one level up: building the environmentthat makes ANY AI interaction more effective. When every company has access to the same models, the organizations that win won't be the ones with the best prompts. They'll be the ones whose AI actually understands their business.
“The companies that treat prompts as the core product will fall behind. Prompts don't scale. Context does.”
— Philipp Schmid, Hugging Face
The architecture is understood. The hard part is automating it.
The community has figured out how to structure context for AI — workspace routing, layered loading, CLAUDE.md files. What nobody's solved is where that context comes fromat organizational scale. Who captures the decisions? Who maintains the processes? Who notices when something's stale? That's the infrastructure gap. That's what Apart Intelligence builds.
Capture
Decisions, processes, policies, architecture — captured as structured nodes with types, metadata, and relationships. Not flat docs buried in a wiki. Knowledge that’s queryable from the moment you write it.
Curate
Graph quality tools automatically find orphaned knowledge, detect duplicates, identify isolated clusters, and suggest connections. Your knowledge base maintains itself as your organization grows.
Deliver
Hybrid search and context assembly surface the right knowledge at the right moment — to humans via the CLI, and to AI agents via MCP. Every workspace loads only what’s relevant. No token waste.
Who it's for.
Not just for developers. For anyone doing ongoing work with AI.
Engineering Teams
Track architectural decisions, document processes, give AI agents real context about your codebase. Stop losing knowledge in Slack threads and departed employees’ heads.
Content & Marketing Teams
Stop re-explaining your brand voice every AI session. Capture style guides, content processes, and editorial decisions as searchable knowledge.
Operations & Leadership
Institutional knowledge costs Fortune 500 companies $31.5B/year when it’s not shared. Capture processes, policies, and decisions before they walk out the door.
Consultants & Freelancers
Context-switch between clients without starting from zero. Each client workspace loads the right context, voice, and history automatically.
The AI-ready advantage.
Without Apart
- Every AI conversation starts from zero
- You paste the same context into every session
- Knowledge lives in people’s heads and Slack threads
- AI produces generic output that could belong to anyone
- New hires take 8–12 months to learn “how we do things here”
- When someone leaves, their knowledge leaves with them
With Apart
- AI loads your organizational context automatically
- Decisions, processes, and policies are captured once and searchable forever
- Knowledge is structured, connected, and maintained by quality tools
- AI output is grounded in your actual architecture and decisions
- New hires search institutional knowledge from day one
- Knowledge compounds — every node makes every AI interaction smarter
What we automate.
Capture, curate, and deliver institutional knowledge — so every AI interaction starts with real context instead of a blank slate.
Structured Capture
Typed knowledge nodes — decisions, processes, policies, architecture — with metadata and relationships. Not another wiki. A graph that AI can actually reason over.
Hybrid Search
Semantic embeddings + keyword search working in parallel. Find your data retention policy by searching “client data” — even when the words don’t match.
Context Delivery
Capture and query knowledge via CLI. MCP server delivers your knowledge graph as context to Claude, Cursor, ChatGPT, and any MCP-compatible tool automatically.
Automated Curation
Health checks, orphan detection, duplicate finding, AI-suggested connections. The graph maintains itself as your organization grows and knowledge evolves.
Codebase Mapping
Not all knowledge is written down. ai map auto-generates architecture nodes from your codebase — making implicit knowledge explicit and searchable.
Workspace Routing
Layered context loading means AI only sees what’s relevant. Each workspace loads its own knowledge. No token waste, no context pollution.
PII Protection
Built-in PII detection and per-organization encryption. Emails, phone numbers, SSNs, and credit cards are automatically detected and encrypted — decryptable only with your organization’s key.
Start in 60 seconds.
Install, initialize, and capture your first piece of institutional knowledge. Use the CLI or connect any AI tool via the MCP server.
npm install -g @apart-tech/apart-intelligenceBuilt by Apart
The digital workforce of residential real estate.
Apart builds software that transforms how residential real estate companies operate. Our core product, Apart Platform, replaces manual, repetitive workflows with orchestrated processes powered by AI and automation.
Full-service platform
A complete residential property management platform with industry-specific features covering the entire rental lifecycle — from listing and tenant screening to contract signing and ongoing management.
Orchestration & automation
Every workflow is mapped in detail so tasks are standardized, scalable, and orchestrated. Everyone knows what to do, when, and how — reducing operational costs by up to 40%.
AI agents & digital workforce
As more tasks are automated and completed by AI agents, a truly digital workforce emerges — handling leasing, scheduling, tenant communication, and more autonomously.
Why this product exists
Apart Intelligence was built to capture and deliver institutional knowledge for AI agents operating within Apart Platform. But we quickly realized the underlying infrastructure — structured knowledge graphs, hybrid search, context delivery via MCP — isn't specific to real estate. Any team working with AI needs this. So we made it available as a standalone product, open to any industry and any project.
Within Apart Platform, Apart Intelligence works in sync with our proprietary task and workflow engine. The task engine orchestrates what needs to be done— template-driven workflows, stage progression, context-aware task instantiation. Apart Intelligence provides how it should be done— the institutional knowledge, decisions, and processes that give every task and every AI agent the context to execute correctly. Together, they form the foundation of a truly autonomous digital workforce.
Stop starting from zero.
Join the beta and give your organization — and every AI tool you use — the context it's been missing.
Limited beta — signups close when spots fill.