The Knowledge Compiler
Your Company Knows More
Than It Remembers.
Your company's knowledge, one living graph. You own it, any LLM can reason over it.
A living knowledge graph you own.
MottoNote is a knowledge graph compiled from your documents, communications, and data. Connect once, and it continuously updates itself. Plug in any LLM to reason over your organization's full context.
From raw data to institutional memory.
Raw data goes in. Structured, queryable knowledge comes out.
Connect your data sources
Email, documents, meetings, notes, messages. Connect once and your entire history gets compiled. From then on, new data is ingested automatically.
Your knowledge graph takes shape
Everything is parsed, entity-resolved, and woven into a living knowledge graph you own. The same company mentioned in emails, notes, and docs becomes one unified entity.
"What do we know about Acme?"
Reason with any LLM
Expose your knowledge graph to any LLM you want. Claude, GPT, Gemini, or open-source models. Ask "What do we know about Company X?" and get compiled knowledge with connected entities, not document snippets.
Search finds documents.
MottoNote compiles knowledge.
Enterprise Search
Knowledge Compilation
Series B candidate ยท 12 touchpoints
Last met March 12 ยท Board deck shared
Passed on seed (2023), re-engaged after pivot
Your data, your knowledge base.
Connect your email and docs once. MottoNote compiles your entire history into a knowledge graph you own, then keeps it current automatically. Query it with any LLM you choose.
- Plug in any LLM: Claude, GPT, Gemini, open-source
- You own your knowledge graph, no vendor lock-in
- Set up once, auto-updates from there
"What do we know about Acme Corp?"
Built for knowledge-intensive work.
VC firms, law firms, consultants, M&A teams, and research orgs. Anyone drowning in information.
โWhat's our full history with this company?โ
Every touchpoint, internal discussion, and decision. Sourced and timestamped.
โWhat's the timeline on this deal?โ
Full deal history compiled from emails, data rooms, and meeting notes
โHave we done this type of engagement before?โ
Past engagements matched with key learnings and client relationships
โWhat precedent do we have on this clause?โ
Clause patterns, related deals, and internal memos compiled into a precedent map
โWho internally has context on this?โ
Expertise mapped to people, ranked by involvement with source trails
โWhy was this decision made?โ
Decision history compiled from docs, Slack, and meetings with full reasoning chain
Works with your tools.
Connect once. Knowledge stays in sync.
Infrastructure, not interface.
Your knowledge graph, your rules. Expose it to any AI tool you already use.
MCP Server
Any MCP-compatible AI tool gets your org's full context.
Slack Bot
Query from where you already work.
API
Build your own interface.
Obsidian Plugin
Your org's knowledge graph, right inside your vault.
We agree. That's why we're building it for organizations.
Your organization's knowledge, compiled.
Faster decisions. Persistent institutional memory. Knowledge that compounds.