TeamVault connects your company’s tools into one secure memory for your team and AI agents. Your context stays yours, independent from any model provider.TeamVault connects the tools your company already uses and organizes their context into a permission-aware operating brain. Your team and its AI agents can investigate the same company memory with source evidence and access controls intact. That memory stays independent from any one model provider.
AWS
ShopifyAWSShopifyAWSShopifyAWSShopifyIf a tool exposes an API, TeamVault can connect it. Each integration is configured to preserve source identity, evidence, and access context as company memory is assembled.
People, companies, projects, decisions, documents, and events are resolved into connected context. Retrieval can surface the evidence and history behind the relationships it uses.
MCP-compatible agents and internal tools use the same compact investigation surface. Each caller is authenticated and filtered to the company context they are allowed to retrieve.
Agents get authenticated, permission-scoped access to the context they need. They never receive a bulk copy of your company brain.
Sending broad company context directly to a model provider creates retention, review, and policy questions that vary by provider, product tier, configuration, and contract.
Security promises are only as strong as the settings and agreements behind them. Your memory architecture should minimize the context exposed in any individual request.
Broad OAuth scopes can give an agent more source access than the task needs. That can include write access when a token permits it. Prompt injection makes those extra permissions dangerous.
If institutional knowledge only exists inside one proprietary assistant, the company becomes operationally dependent on that provider to retrieve and use its own memory.
→ Keep the durable memory under your control. Give every model only the context its task requires.Using frontier models is not the problem. Keep the durable memory layer under your control, and give each model only the context an authorized task requires.
Keep the company memory you govern separate from the models that query it.Centralizing your company's full context inside one model provider creates strategic and operational dependency. TeamVault separates the durable memory layer you govern from the models that query it, giving agents a permission-scoped read path instead of a bulk export.
The most valuable company knowledge lives in the trail your team leaves behind: deals, decisions, and dead ends. Keep that context under your company's control.
Your durable advantage should live in the context you govern, not in a model provider you cannot control. Keep the memory layer stable as models improve and change.
MCP clients connect through authenticated, permission-scoped graph tools. The default agent surface is designed for investigation, not mutation of company systems.
Organized company context gets more useful with each decision and new source. Token volume does not.
Company memory, evidence, semantic indexes, and audit records stay inside a dedicated tenant boundary, with authorized tool results returned to callers.
Authenticated agent calls carry caller context and permissions into the retrieval path. Disable a caller's credentials without rebuilding the company memory layer.
A governed company memory layer beneath your chat, search, and agent tools.
| Capability | Teamvault | Enterprise search |  Workspace AI |  Personal knowledge tools |
|---|---|---|---|---|
| Center of gravity | Humans + agents | Finding company content | Assistance inside one workspace | Organizing individual knowledge |
| Retrieval model | Compounding temporal graph | Search index or simple graph | Workspace context | Files, notes, and links |
| Agent interface | MCP · CLI · API | Varies by platform | Workspace-bound assistant | Local or plugin-driven |
| Permission model | Source-derived, query-time filtering | Platform access model | Workspace permissions | File and sharing controls |
| Evidence posture | Provenance built into retrieval | Result-dependent | Workspace-dependent | Author-managed |
Unify diligence memos, board decks, management calls, LP updates, and operating KPIs across the portfolio. Ask questions like "which portcos share the same supplier concentration risk?" and trace the answer back to its sources.
Keep direct investments, GP relationships, real assets, trust structures, and governance decisions in one place. The reasoning behind key allocations stays with the family instead of getting stranded in an advisor's inbox.
Connect retailer line reviews, promo calendars, syndicated scan data, co-man capacity, and formulation IP across a house of brands. Let agents investigate cross-brand questions with the underlying context intact.
Connect PRDs, RFCs, incident post-mortems, customer calls, support tickets, and revenue signals. Engineering and RevOps can work from the same permission-aware company memory.
Put consulting decks, work product, matter files, and client interview notes to work across engagements. Teams can reuse relevant prior work without relying on one partner to remember where it lives.
Organize protocols, IRB submissions, site correspondence, safety narratives, and payer context behind explicit access boundaries. Architecture and compliance requirements are mapped before sensitive data is connected.
Bring your sources, permissions, and agent goals.Bring us your source systems, permission model, and agent goals. The architect will map the requirements and recommend a practical path forward.
