Context One · Autonomous Enterprise OS

BuildingtheOperatingSystemforAutonomousEnterprises.

Every AI agent, every employee, every application, one secure company brain.

mcp.tools → write_context · read_context · get_customer_360 · subscribe_context_events

Secure Company Brain

Compatible with the enterprise ecosystem via MCP

Slack
Microsoft
OpenAI
AWS
Google Workspace
Salesforce
GitHub
Jira
Notion
HubSpot
Zendesk
PostgreSQL
Figma
Linear
Agents don't fail from lack of intelligence. They fail from lack of context.

Every company is about to run on agents. The bottleneck isn't model intelligence — it's that no agent can see the company. Knowledge is scattered across chat threads, tickets, inboxes and repos, and none of it is safe to hand to an autonomous system.

CONTEXT ONE turns that sprawl into a living digital twin: one governed context layer that every agent can understand, reason over and act upon — securely.

Engraved illustration of the secure company brain: a sphere containing a line-drawn brain, with thin synaptic ink lines and glowing cyan and violet nodes converging on it from every direction

08

source systems streaming in

04

context engines, one brain

3.1ms

median policy decision

0

ungoverned reads — default deny

How it works

Connect. Model. Govern.

01

Connect

Wire your stack in minutes. Cursor, Jira, Slack and Outlook stream into CONTEXT ONE over the Model Context Protocol — no ETL, no batch jobs, no glue code. Every message, ticket, commit and mail becomes a governed context event.

02

Model

Four engines, one brain. Events are embedded into Milvus for semantic recall, linked in Neo4j as entities and relationships, cached hot in Redis for agent working memory, and versioned in Postgres as the system of record.

03

Govern

Policy before payload. Every read passes the OPA interceptor: scopes are checked, sensitive fields are masked in-flight, and every decision is audit-logged. Your agents see exactly what they're granted — nothing more.

The Living Digital Twin Pipeline

Multi-source. Multi-engine. One brain.

Every signal from your tools is vectorized, graphed, and versioned into a living digital twin of the company — then served to AI executives under policy. No ETL, no batch jobs, no glue code: one protocol in, one governed brain out.

Omni-channel sources

CursorIDE agent
JiraIssue stream
SlackComms mesh
OutlookMail ingest

Context engines

Milvus VectorSemantic recall
Neo4j GraphEntity relations
Redis KVHot agent state
Postgres MetaSystem of record

Executive AI boardroom

CTO AgentArchitecture
CMO AgentGrowth
CFO AgentCapital
CSO AgentSecurity

Live Telemetry

A brain that shows its work.

From a Slack message to an agent decision in one governed trace. Watch ingestion, modeling, policy and action happen event by event — the same stream the console renders in real time.

context-one · live ingestion trace

Phase 3 · Governance Interceptor

A living digital twin that every AI agent can understand, reason over and act upon securely.

Every context read passes through the OPA policy engine. Agents only ever see what their scope grants — everything else is transformed in-flight, in milliseconds, and every decision lands in the audit log.

Governance Interceptor

Okta for AI

Policy engine live
MCP Pipeline
OPA Interceptor
CMO Agent
read_context → agent-cmoAuthorizing
Q3 burn $2.4M · runway 14mo · payroll ledger

opa.decisionTRANSFORM · policy fin-002 (finance scope ∉ CMO grants) · masked 3 fields · latency 3.1ms

Early Access

Give your company a brain.

We're onboarding a small group of design partners. Request access and we'll wire CONTEXT ONE into your stack.

Priority onboarding for design partners. No spam.

Prefer to look around first? Launch the live console