Your entire AI estate, one navigable map.
Your AI estate is a web of workflows, models, prompts, credentials, and external APIs — and today that web exists only in people’s heads. The Knowledge Graph makes it a live, navigable map: click any asset and see everything it touches, everything that depends on it, and its current health.
The problems that pile up quietly.
"What happens if we change this?" can only be answered by the one engineer who built it.
A deprecated API or expiring credential has unknown reach until something breaks.
Onboarding a new engineer onto the AI stack takes weeks of tribal-knowledge transfer.
What changes for your team.
Impact analysis in one click
Select any node — a credential, a model, an API — and instantly see the full blast radius of changing or removing it.
Tribal knowledge, systematized
The map that lived in one engineer’s head is now a shared artifact — always current, because it’s built from live observation, not documentation.
Onboarding in hours
New team members explore the graph to understand the estate — what exists, how it connects, what matters — without a week of shadowing.
Live in minutes, not sprints.
Discover assets
Auto-discovery inventories workflows, nodes, models, prompts, credentials, and external services across your connections.
Infer relationships
Execution data reveals real dependencies — which workflows call which APIs, share which credentials, feed which downstream systems.
Keep it live
The graph updates as your estate changes, and overlays health, cost, and risk so hotspots are visible on the map itself.
See it on your own AI stack.
Connect in five minutes with read-only credentials. No code changes, no credit card.