The Operating System Between Data and Decisions
Context OS is the infrastructure layer that compiles enterprise context, enforces governance structurally, and produces evidence at every decision. It doesn't hope agents behave — it makes non-compliance architecturally impossible
The Problem
Enterprise AI Has Execution Infrastructure. It Doesn't Have a Control Layer
Most enterprises invest in compute, models, and agent frameworks, yet a structural gap remains between data and agent execution—no system compiles context, enforces authority, or produces evidence—so agents act without proving correctness
No Shared Context
Agents operate independently, lacking unified understanding or awareness
Each agent isolated
No shared reality
Conflicting decisions possible
Temporal tracking missing
Knowledge not centralized
Outcome: AI actions lack coordinated understanding across the enterprise
Policies Suggestions
Policy enforcement exists as optional prompts rather than structural rules
Prompts over rules
Guardrails may fail
No automatic compliance
Behavioral guidance only
Enforcement inconsistent
Outcome: Agents may act contrary to policy without structural safeguards
Compliance Blind
Decisions produce no inherent audit trail or evidence of correctness
Post-hoc audits only
No real-time proof
Compliance gaps persist
Decisions unverifiable
Risk unmanaged
Outcome: Enterprises cannot prove AI decisions were correct
How It Works
Three Planes. One Operating System
Context OS operates as three interconnected planes that sit between your systems of record and agent execution layer
Context Plane
What AI knows — entities, relationships, temporal state, rules, provenance, and SOPs compiled into a queryable Context Graph
Control Plane
What AI is allowed to do — policy gates, authority models, threshold rules, and decision boundaries compiled into the execution path
Decision Plane
Why it happened — every decision produces a trace recording context consumed, policy evaluated, authority verified, and outcome generated
Core Capabilities
What Context OS Delivers
Context OS enforces policies, tracks decisions, and provides contextual intelligence, ensuring agents act compliantly and traceably
Structural Enforcement
Policy is compiled into the decision path — not bolted on as prompts. Non-compliant outputs are removed from the possibility space. The model doesn't refuse; it structurally cannot
Continuous Learning Loop
Every decision trace feeds back into the Context Graph. Agents don't start cold — they inherit the full reasoning history of every prior decision
Context Graph
A temporal, multi-modal knowledge graph that connects entities, rules, SOPs, and provenance across all enterprise data. Causal understanding, not just correlations
Decision Ledger
An immutable record of every decision: what context was consumed, what policy was evaluated, what authority was verified, and what evidence was produced
Agent Registry
Central inventory of every agent — what it accesses, what it's authorized to do, its decision history, and its current scope. RBAC for machines
Governance as a Gradient
Governance scales with risk. Low-risk actions auto-approve. Medium-risk decisions get policy checks. High-risk actions require human oversight
Use Cases
Where Context OS Operates
Context OS enables enterprises to orchestrate agents, enforce regulated decisions, unify cross-system intelligence, and establish a governance layer for accountable AI operations
Integrations
Deploys Over Your Existing Infrastructure
Context OS sits between your systems of record and agent frameworks. No rip-and-replace. No migration. 4-week deployment
Systems of Record
Data Platforms
Security & Observability
Agent Frameworks
FAQ
Frequently Asked Questions
No. Context OS connects to 300+ systems without data migration or workflow disruption, deploying over existing platforms in about four weeks
Traditional AI governance relies on prompts and guardrails, which can fail. Structural enforcement embeds policies and authority into the decision path, preventing non-compliant outputs entirely
Context OS gives all agents a shared, governed context with defined identity, scoped authority, and access rules. Delegated actions remain controlled, and every decision produces an auditable trace
ElixirData meets SOC 2 Type II, ISO 27001, GDPR, and HIPAA standards, with FedRAMP in progress. Context OS deploys on-prem, in VPCs, at the edge, or as a managed service with full isolation and data residency controls
Ready to See Context OS in Action?
See how Context OS deploys over your existing infrastructure in 4 weeks — with structural governance from day one