Nimbase captures, governs, and distributes company knowledge to the employees, customers, applications, and AI agents that need it.
Click any node to trace how a raw signal becomes governed, permission-bound context.
Structured Slack Object:
Data is vectorized, parsed into atomic facts, matched with internal security context, and delivered. The AI Agents receiver gets a clean context block without any credentials or out-of-bounds information.
Companies are becoming networks of people, customers, applications, and agents. But their knowledge is still scattered across conversations, tickets, docs, calls, and code. AI agents can act, but they cannot act reliably without a system that distributes trusted company knowledge to them.
Decisions, promises, and rationale get buried in Slack threads, transient calls, JIRA tickets, and pull requests. There is no central log.
AI tools are powerful, but they operate completely blind. They need permissioned, source-grounded context before they can deliver reliable work.
Customer-facing AI needs both public product documentation and account-specific history, without ever leaking internal secrets or engineering keys.
Pull high-fidelity raw context from the real-time systems where your organization works.
Transform messy discussions, commits, and logs into structured, reusable knowledge objects.
Apply strict role constraints, freshness boundaries, PII redact guidelines, and system audits.
Deliver precise context packs instantly through client APIs, Slack channels, or MCP endpoints.
Explore your secure knowledge layer. Click between different navigation modules beneath to simulate active permission roles and inspect dynamic citations traces.
Knowledge workspace
Acme Corporation
Claude (coding agent) queried architectural rules Project Apollo Architecture
Support Agent Bot requested contract values Enterprise SLA Notes
Barry Tran (AE) previewed strategic client notes Customer Promise SSO
Before an agent replies, writes code, updates a ticket, or customer supports, Nimbase assembles the exact context it is allowed to use. It dynamically strips credential keys, matches PII constraints, and groups knowledge objects index-by-index.
Scoped to: coding agent
{
"_nimbase": {
"pack_id": "pack_prj_9401",
"actor_bound": "agent://coding-agent-0"
},
"context_grounding_nodes": [
{
"node": "apollo_architecture",
"derived_at": "2026-06-23T02:44:00Z",
"facts": ["Using Redis Cache v7", "SSO integration via Azure AD"]
}
]
}Nimbase provides modular, governed context to cover every strategic touchpoint across your enterprise.
Deliver precision support by grounding support agents on both public documentation and account-specific promise history, completely avoiding citation hallucination.
Nimbase is completely model-agnostic, built to future-proof your organizational logic. Ensure your context layers port flawlessly into whatever LLMs or custom code integrations your enterprise adopts next.
Operate Cursor, Claude, custom agents, or REST clients from one unified permission tree.
Every compilation traces back to raw JIRA tasks, call files, or Slack IDs dynamically.
Configure boundaries across employees, clients, external APIs, and client-facing bots.
Every query and compilation event logs securely for real-time validation compliance.
Nimbase gives AI-native companies the secure knowledge distribution layer required for humans, customers, applications, and agents to work from shared context.