Industry · Startups and scale-upsCompany memory for startups and scale-ups.
Your teams have Claude, Cursor, Notion, Linear, a CRM and dozens of meetings a week. Nothing links any of it. We build your company's context graph, continuously fed and exposed over MCP, so every agent starts with full context.
The friction points of a team that is already equipped.
The problem is neither the model nor the tools: each tool stays isolated. Company context lives in twenty places, and no agent sees all of it.
Your agents work without the context.
Every in-house agent connects to two or three sources and ignores the rest. It does not know what was decided in the meeting, why this feature exists, or what the customer asked for last week.
Documentation never keeps up.
READMEs, Notion pages and specs are stale the day they are written. The real decisions are in Slack, in Linear, or known to only three people.
In-house hacks are expensive.
A home-made MCP on top of SQL, a RAG on the Drive: it works for a month, then nobody maintains it, access is not managed and ingestion stops without anyone noticing.
Knowledge leaves with people.
In a fast-growing team, every departure takes a piece of context with it: why that architecture was dropped, what was promised to that customer, what has already been tried.
What a linked memory changes.
Connecting tools side by side gives you a chat on each source. A company memory links the sources to each other, with the date and provenance of every fact. Here is the difference day to day:
| Your tools connected side by side | Your company in a context graph | |
|---|---|---|
| An agent's context | What the connector it is linked to gives it. | Everything the company knows on the subject, linked, dated and sourced, through a single MCP. |
| A feature | A ticket, a commit, a Notion page, unrelated. | The ticket, the commit, the meeting where it was decided and the customer who asked for it. |
| Onboarding | Two weeks reading stale docs and asking questions on Slack. | One question, one sourced answer: a newcomer finds the company’s context and decisions. |
| Support | Every ticket handled as if it were the first. | Similar tickets matched, the answer that already worked found again. |
| Maintenance | A home-made script nobody dares touch. | Continuous, monitored ingestion, with access managed per person and per agent. |
We build a Company Brain that connects your business software without replacing it, before building custom AI agents on that base.
company memory.company‑brainevery agent starts with full context, over MCP
a newcomer finds the company’s context and decisions
tickets matched and resolved faster
what this feature is connected to
Where to start in a startup or scale-up.
One infrastructure, several scopes. We start with the one that saves you time right away, measure, then expand.
The context layer for your agents
MCP, your existing agents, Claude, Cursor, your platformYou already build agents. We give them the company's memory: one MCP, per-agent access, the provenance of every fact. Your agent has the company's context from day one.
Code linked to everything else
GitHub or GitLab, Linear or Jira, Notion, meetingsRepositories, tickets, specs and meetings linked together. “What is this feature connected to?” finds an answer, for developers and for the freelancers who join.
Support and tickets
Intercom, Zendesk, tickets, documentationSimilar tickets matched through business links, not just text similarity, and the answer that already worked found again with its source.
Product decisions and specs
Meetings, Notion, Slack, CRMWhy that feature was dropped, what was promised to that customer, what has already been tried: the memory links the decision, its reason and its consequences.
Sales
CRM, emails, meetingsCRM, emails and meetings linked: an account, its full history, what was said in the last conversation and the next action, with no re-entry.
How we work.
30 minutes.
Your situation, what you have already connected, and the scope to start with.
A contract, defined upfront.
The platform license, the deployment, services if needed: one scope, one price, success criteria set together, with no surprises along the way.
In production within a few weeks.
Your tools connected, your teams interviewed by our agents, the memory taking shape, then the first business agents on that scope. No endless pilots.
We measure, then we expand.
A figure on the first scope, then the next ones: other tools, other teams, new agents. The memory and the agents improve through use, and we stay alongside your teams.
Designed for demanding technical teams.
No black box: you see what goes in, what comes out, who has access, and you can export everything.
Everyone, human or agent, accesses only the content they are entitled to, under the same confidentiality rules. An agent that reads support has no access to payroll.
The memory is exposed over MCP: you keep Claude, Cursor, ChatGPT or your own platform, and they get better. The model is interchangeable.
In our cloud with a French hosting provider by default, or deployed on your side if you require it. Nothing is used to train a model, ours or the vendors'.
Your data stays yours and can be exported. Every fact keeps its source and its date. You can leave without rebuilding anything.
Frequently asked questions
The questions we hear most often in your industry. If yours is not here, ask us directly.
A RAG finds passages that look like the question. A company memory links facts to each other, with their date and provenance: the meeting where the decision was made, the ticket that followed, the customer involved. And it is maintained: continuous ingestion, managed access, monitoring. What you did by hand, we deliver and maintain.
Yes. The memory is exposed as an MCP: any tool or agent that speaks MCP connects to it with its own access rights. Nothing to rewrite.
An agent platform connects tools side by side: each connector gives access to its own source only. We build the layer underneath, the linked memory. The two complement each other: our MCP can connect to Dust as well as to Claude.
A few weeks for a targeted scope: code, support or sales. We connect the sources, check answer quality with you, then expand.
By default in our cloud, with a French hosting provider. If your constraints require it, the platform deploys in your infrastructure, with the same features.
Let's talk about your stack.
30 minutes to look at what you have already connected, and which scope a linked memory would save you time on right away.