Context Catalog records, classifies and connects every item in your organization, so agents and people work from the same context instead of guessing.
Teams share instructions through a git repo, but tools and data stay unshared: no standard integration, no security governance, local copies everywhere.
One record of every item in the organization, that every agent and every person reads from.
You stop trusting what agents tell you, because you can't confirm which version of a doc, schema or policy they actually read.
Every answer traces back to a source you can audit, with the compliance and access rules already applied.
Compliance checks happen occasionally, if at all, and drift goes unnoticed between audits.
Guardrails and Scorecards validate every item against your rules continuously, at every commit, not just at audit time.
Your organization's context lives across dozens of disconnected tools. Context Catalog connects them into one map that gets more complete with every connector you add.
Connectors pull data automatically from your clouds, DevOps tools, Git, CI/CD, monitoring, Jira and other ticketing systems, and your data sources, no manual entry.
Every item gets a type and typed Relationships to others, forming a graph, not a flat list.
Rules, Scorecards and Campaigns attach to items, so compliance is never a one-time check.
APIs, MCP and other protocols give every agent and tool the same governed context.
Connect, configure, and serve context to AI agents and applications through a governed catalog of enterprise knowledge.
Any entity in the organization, software, infrastructure, data, business artifacts, processes, tracked as an item.
Typed links between items, so you can see what depends on what and trace how data moves across connected sources, without archaeology.
Save a filtered slice of the catalog to bookmark and revisit.
Who can see and change each item, how items relate to one another, with full versioning and an audit log behind every change.
Enforced via MCP Gateway: hard boundaries (AI Act, GDPR, SOC) before output reaches a human.
Turn compliance, resilience and security rules into automated checks, validated at every commit, with pre-built regulatory templates for AI Act, NIS2 and DORA.
Turn findings into structured remediation plans, routed to the right engineer, with automated notifications.
Pre-built connectors for the tools you use today.
Scale Agentic Engineering
Your architecture standards, conventions and institutional knowledge become governed context every agent reads, so quality stops depending on who configured which tool.
ExplorePilot to Production
The business pilot that stalled on core-system integration and data access gets a governed route to production, and the next initiative reuses what this one mapped.
ExploreAI Governance
Scorecards and Campaigns turn compliance into checks that run at every commit, so audit evidence comes out of the platform instead of being assembled before a review.
ExploreContext Catalog records, classifies and connects every item in your organization: software, infrastructure, data, business artifacts and processes. Each item has a type, an owner and typed relationships to the others, so you get a graph instead of a list. Agents and people read the same governed record, through APIs, MCP and other protocols.
Every other app and orchestrator builds on this. See how it's packaged, module by module.
AI Foundry
Governs which agents and Playbooks can use it, and how.
Explore
Flow
Lets non-developers prototype against it, safely.
Explore
Console
Takes it out to your real environments, as Environment as a Service.
Explore
Fast Data
Feeds it real-time data from your systems of record.
Explore
AI-Ready API
Exposes the APIs it records as governed endpoints agents can call.
Explore
Catalog
