AI Context
For your production

Anyshift is built on a versioned knowledge graph of your infrastructure. Anyshift tells you exactly why something broke, catches risks before they cause outages, and delivers senior-level insights from your stack in seconds.

Your company-as-a-graph
Connect integrations to build your knowledge graph

Trusted by

Voodoo logo
Citrix logo
MotherDuck logo
Cloud.com logoBeReal logoTIBCO logoYubo logoArctera logo

Make your company AI-ready

The context behind every decision.

Today your stack lives everywhere and connects nowhere, scattered across tools, siloed, and out of date. Anyshift maps and reconciles it into one graph your engineers and AI agents can trust.

1

End tribal knowledge as a bottleneck.

Anyshift turns everything you run and work in into one queryable knowledge graph. Your engineers and AI agents ask in plain English about deployments, commits, dependencies, docs, and config across your whole stack.

2

Resolve incidents in minutes, not hours.

When something breaks, the versioned knowledge graph traces cascading failures across services, deployments, and config to pinpoint the exact breaking change, the context your engineers and AI agents act on.

3

Catch risks before they become outages.

Anyshift scans the versioned knowledge graph for drift, misconfigurations, and risks before they trigger incidents, surfacing them while there is still time to act.

The Versioned Graph

Your whole company, mapped and time-traveled.

Every state change in the graph above is timestamped, so you can ask 'what was true at 02:14?' and get the answer.

Blast radius

Walk from any change to what it touched.

Every state change is on the graph, wired to the resources it shaped and to the tickets and docs around it. Walk forward from a config edit to the services it broke and the alerts it raised, or backward from an alert to the change, the ticket that requested it, and the runbook that should have covered it.

  1. T − 1dConfluence: api-scaling runbook last edited
  2. T − 6hDeploy api-service @ 7af3a91
  3. T − 3hHPA threshold lowered to 65%
  4. T − 1hRDS provisioned IOPS reduced
  5. T − 15mFirst 500s appear
  6. NowRoot cause: HPA edit, runbook never updated

What Engineers Say

Trusted by engineering teams worldwide.

“A process that would have taken a human being, even one very familiar with the code, 20 minutes at best, two hours at worst. Annie had it for us in 30 seconds.”

Hilary Brennan-Marquez

Head of Infrastructure, MotherDuck

“The knowledge base and on-call is a fantastic toolset to not just survive, but thrive in a corporate setting where you're expected to do more with less.”

Andreas Drbal

Senior EM, Citrix

“Annie does an impressive job finding the right log, extracting span IDs and trace IDs, and reconstructing the entire chain of related logs to surface the relevant information.”

Yannick Bonnefond

Engineering Manager, Voodoo

85%+

MTTR reduction

3 min

Avg. time to investigation

40+

Integrations supported

30 min

Setup time

Backed by Leaders at

DockerDocker
DatadogDatadog
OpenAIOpenAI
AlgoliaAlgolia
GitGuardian
DataikuDataiku

One Source of Truth

The same thing, known by a dozen names.

Your payments service is an EC2 instance in AWS, a pod in Kubernetes, a repo in GitHub, a ticket in Jira, and a page in Confluence, each with a different name. Anyshift reconciles them into one node, so your engineers and AI agents reason about one system instead of a dozen disconnected tools.

Ready to put your whole company in context?

No credit card required for 14-day trial.