The governed context layer for enterprise AI
ContextOS helps enterprises ingest, organize, govern, and assemble trusted context for AI applications, copilots, and agents—so every response is grounded, permission-aware, and production-ready.
Context Packet
Vendor Onboarding Query
"All EU-based vendors must undergo a Tier-1 security audit and submit GDPR compliance artifacts before initial procurement review..."
Status
Policy Enforced
Context Hub
1.2TB Ingested
Core Platform
Engineered for architectural excellence
Connect enterprise knowledge
Ingest content from docs, tickets, chat, code, and business systems through a unified connector layer.
Govern every context decision
Apply permissions, masking, auditability, and policy checks before context reaches a model.
Assemble task-aware context
Build context packets that combine relevance, freshness, provenance, and token-budget constraints.
Power apps and agents
Serve trusted context through APIs and SDKs to copilots, search experiences, and agentic workflows.
Why enterprises choose ContextOS
Legacy retrieval systems (RAG) and simple vector databases fall short in production and compliance-heavy environments. ContextOS provides the enterprise-grade context management layer needed for reliable, governed AI.
Connector Hub
Connect to SharePoint, Jira, GitHub, Slack and 100+ other sources with full permission mirroring.
Processing Pipeline
State-of-the-art parsing and chunking that preserves semantic meaning and document structure.
Retrieval Orchestrator
Hybrid engine combining lexical, semantic, and knowledge graph retrieval for maximum precision.
Real World Impact
Solving enterprise context at scale
Internal AI copilots
Ground employee assistants in company knowledge across docs, tickets, code, and chat.
Support and operations workflows
Assemble context for escalations, incident response, troubleshooting, and knowledge-driven resolution.
Engineering knowledge systems
Unify architecture docs, pull requests, issues, runbooks, and ownership metadata for developer copilots.
Policy and compliance workflows
Retrieve governed, current policy context with access controls, redaction, and auditability.
Our Mission
Building the foundational context mesh for the enterprise AI era
ContextOS was founded by a team of engineers and researchers who saw a fundamental gap in enterprise AI: the lack of a governed, task-aware context layer. We are on a mission to turn fragmented enterprise data into the trusted knowledge backbone for reliable, production-ready AI.
Truth first
Every AI response must be grounded in verified enterprise knowledge.
Privacy by design
Permissions and security are fundamental, not features added later.
Engineering rigor
We build for scale, production reliability, and operational excellence.
Enterprise Grade
Governed by default, secure by design
Trust Principles
Inherit source permissions and enforce runtime access controls
Support redaction, masking, and sensitive-data handling policies
Provide audit logs for retrieval, memory, and context-serving events
Support tenant isolation and flexible deployment models
Integrate with enterprise identity providers and policy engines
Keep provenance attached to every context artifact
ACL Mirroring
ContextOS synchronizes directly with your source systems (SharePoint, Google Drive, Jira) to inherit, mirror, and enforce existing permission structures at the context level—instantly.
Complete Audit Trails
Every context lookup, retrieval decision, and model serving event is logged with full metadata, latency metrics, and provenance—providing total operational transparency.
Careers
Join us to build the context mesh
We're always looking for exceptional engineers and researchers to join our mission. Even if you don't see a specific role, we'd love to hear from you.
Share your CV: careers@contextos.inReady to build reliable
AI systems?
Ready to transform your enterprise with governed AI? Contact us for a personalized demo and talk to our team about building trusted AI systems at scale.