Partition turns work into knowledge.
Every company produces knowledge every day — decisions, analysis, deliverables. The problem is not that the work does not happen. The problem is that the knowledge has nowhere permanent to go.
Partition captures it at the infrastructure level. Work flows through a structured loop — assign, submit, review, approve — and approved deliverables enter a live knowledge graph. Phil reads that graph and returns traceable answers tied to the work that produced them.
We are onboarding teams in batches. Request access for the public release.
How it works
The knowledge is not captured because employees remember to document it. It is captured because the work flows through Partition in the first place.
Workflow loop
Work first. Knowledge automatic.
A manager assigns a task with context — relevant documents, related decisions, deadline, and criteria. The employee works and submits formally. Every rejection and resubmission is recorded. When the manager approves, the deliverable enters the knowledge graph as verified organizational memory.
Workflow loop
Before approval, work is a candidate for truth. After approval, it is truth.
- Assign
Task carries context, deadline, criteria
- Work
Employee produces the deliverable
- Submit
Structured submission — not email
- Review
Manager records feedback in the system
- Approve
The moment the company decides what is true
- Graph
Verified knowledge enters organizational memory
Phil
The interface to the graph
Phil is not a search engine and not a document summarizer. Phil traverses everything the organization has formally decided, produced, and approved — and returns traceable answers. Each result links to the submission that produced it, the manager who approved it, and the date it was verified.
Phil traverses approved work — not a file search.
When a new employee needs to understand how the company handled a client, they ask Phil. When a senior manager cannot remember the reasoning behind a decision made eight months ago, they ask Phil. The reasoning is in the record because the work was in Partition.
The graph
A live map of what the organization has decided is true
The knowledge graph builds from every approved piece of work — continuously and deterministically. Not by guessing at connections, but by reading actual figures, entity names, dates, and references. When the same client appears in a submission from six months ago and a current task, Partition knows.
Organizational memory · 6 nodes · 6 connections
Who this is for
Small and mid-size businesses where work gets reviewed and approved, but the knowledge produced never has a permanent home. Partition is built for teams that have outgrown email and shared folders — not for enterprise rollouts.
Small and mid-size businesses
Teams of ten to two hundred where decisions live in inboxes, shared drives, and the people who were in the room — not in a system anyone can query later.
Founders scaling past the first dozen hires
What the founding team knew stops being reachable once the company grows. New people join without the context behind the product, pricing, or client relationships.
Professional services firms
Client knowledge walks out the door when an engagement ends. Partition keeps what the firm decided, produced, and approved — not what one consultant remembers.
The incomplete graph problem
No platform becomes the single source of work overnight. Work leaks into email, messaging, and conversations that never get documented. Partition addresses this with three parallel approaches.
- 01
Native adoption by design
Task assignment, submission workflow, approval chain, and deadline visibility are the work — not documentation layered on top. The path of least resistance builds the graph.
- 02
Mobile capture
When a decision gets made in a meeting, it can be added to Partition immediately — a thirty-second capture before the knowledge evaporates.
- 03
Email integration
Partition reads inbound and outbound email passively, identifies work-relevant events, and pulls them into the graph. The person does not change their workflow.
Financial layer
Your financial companion
Flag, integrated into Partition, catches errors in financial documents the moment they are saved — broken formulas, inconsistent figures, balance sheet mismatches — before any error reaches an investor or regulator.
Comply — regulatory monitoring across jurisdictions — is on the roadmap as an add-on.
Your data stays in the EU
Everything is stored in the EU — in our secure cloud providers in Europe, in Germany. Relational data, files, and processing stay in European regions. No US-region hosting for your company data.
Access is scoped to your company. You decide who on your team can see what.
Partition is ready. We are testing with a few organizations.
The product is live for a small set of teams — workflow loops, submission and approval, Phil with provenance, and the knowledge graph running on real work. Public access opens in phases.
This is not an open signup. We review each request and onboard in batches.
Sample data. No signup required.
FAQ
Request early access
Leave your work email. We review each request and onboard teams in batches. You will receive a confirmation note — one follow-up when your batch is ready.
No marketing spam from this address. Transactional acknowledgement only.