Teams and individuals already lean on LLMs and agents. Some expert, some just starting. Each works in its own silo, on wikis, docs, and context copy-pasted between tools. It is brittle, and none of it is governed.
SILOED · BRITTLE · UNGOVERNEDYour organisation's shared context layer.
A single governed context layer for every team, agent, and LLM your organisation runs. Access-controlled, grounding every decision and answer: who knew what, when, and why.
MEETINGS · LLM CHATS · TASKS · PLANS · DATA STORES
Your AI doesn’t know what your organisation knows.
One shared context layer grounds the whole organisation, and every AI answer in it. Access-controlled and governed. It remembers what changed, and when. Every person and agent works from the same record.
SHARED · GOVERNED · GROUNDEDEvery silo is a different version of the truth. None grounded, none governed.
Sources in. Governed context out.
Read from where context forms: meetings, LLM chats, tasks, plans, and your systems of record.
Duplicates collapse. Versions link. The same fact, told five ways, becomes one entry with its history.
Typed, timestamped, attributed. Every entry joined to the people, work, and data it concerns.
Scopes decide what each person and agent sees. Provenance comes with every answer.
One MCP endpoint. Any surface. The same context for everyone.
Built to what you run.
The store reads from wherever context forms, including the LLMs your teams already use. Connectors ship with each deployment: we build to your stack, not a fixed list.
READS ARE SCOPED. WRITES ARE TRACED.One connection for every agent.
Assistants, agents, and tools plug into one governed endpoint over MCP. Scoped per person, team, and agent: what each may read, write, and do.
READ · WRITE · ACT · PER PERSON · PER TEAM · PER AGENTSecure and private by design.
Every read scoped, every write approved, every fact traceable. Your data stays in your infrastructure, and we never train on it.
Every read is access-controlled at the fact level. An agent only ever sees what the asker may see.
Every write is a proposal until a human, or a rule, approves it. Nothing enters the record by accident.
Every fact and every retrieval is traceable: what, by whom, when. Built to be read by an auditor.
Single-tenant, in your VPC, or on-prem. Your data stays where your policy and your regulator require.
Exportable in open standards. You are never locked in, and we never train on your data.
Reconstruct exactly what was known at any past moment. The question every examination ends on.
We build it with you, case by case.
Not a product you install. We work with each organisation to uncover how you actually work and what you need, then build a shared, governed context layer that grounds the whole organisation and every answer its AI gives.
Built with startups and scaling companies. Now in conversation with regulated industries, including banks.
Built across domains.
Different industries, the same idea: scattered context resolved into one grounded record an organisation can finally build on.
For the continent's largest pet-licensing provider, we resolved scattered pet data into one governed record they could finally monetise.
We built the entire AI prior-authorisation pipeline for a startup of health-insurance veterans. Every decision grounded and traceable.
We built the context layer for a D2C brand. 3x growth in a year on the same overhead, by grounding their AI in one record.
Who it’s for.
Organisations where many teams, many tools, and many AI touch the same work. Product companies, professional and financial services, groups that grow by acquisition. Regulated environments included.
Not a chatbot.
Not a replacement for your warehouse or CRM.
Not a model that trains on your data.
As we hand more of our work to AI, what matters stops being the model and becomes the record: what was decided, by whom, and when. A memory you can inspect, correct, and take with you. That is the layer we build.
Built by founders with public-company exits across IoT, ecommerce, and services. We build the hard parts ourselves.