Snapshot
Continue to About ↓- What it does
- empirik is an AI agent for infrastructure change: it captures an engineer's intent from a pull request, change ticket, IaC file or pipeline, maps it against a continuously refreshed graph of the live environment, and reports the blast radius before the change lands.
More detail
- The same graph is used afterward to replay changes during incidents, detect drift and unauthorized changes, find idle infrastructure and map VM dependencies.
- Best for
- Platform engineering, SRE, DevOps and infrastructure teams at enterprises running hybrid estates (cloud, Kubernetes, on-prem, SaaS) that want pre-merge and pre-deploy impact analysis, plus teams that need a system-aware context layer for AI infrastructure agents.
- Pricing
- Pricing is undisclosed.
More detail
- There is no published price, no visible free tier and no self-serve checkout
- the only stated entry points are "Request a demo" and "Talk to sales," so cost, minimum commitment and contract terms are unknown.
- Deployment options described are a self-hosted VPC inside the custo
- Main limitation
- Small teams or solo developers wanting self-serve sign-up or published pricing, and teams looking for a replacement runtime APM/observability tool — empirik is change-centric and complements rather than replaces APM or SIEM.
- Record
- Living and monitored
- Reviewed
- Evidence
- Public web research
- Machine access
- Structured profile ↗
About
- empirik is an AI agent for infrastructure change: it captures an engineer's intent from a pull request, change ticket, IaC file or pipeline, maps it against a continuously refreshed graph of the live environment, and reports the blast radius before the change lands.
- The same graph is used afterward to replay changes during incidents, detect drift and unauthorized changes, find idle infrastructure and map VM dependencies.
What it helps with
- IaC defines declared state, not actual relationships, and drifts constantly — critical dependencies never appear in code
- Service meshes see only communicating workloads and miss virtual constructs such as IAM roles, routing tables, quotas an
- CMDBs fall behind and miss ephemeral cloud and Kubernetes workloads.
- Point tools do not understand cross-domain connections across cloud, SaaS, code, CI/CD, IAM, Kubernetes and on-prem.
- Engineers spend hours manually answering "what will this change touch?" before approving a change.
- Changes that land outside the approved path go unnoticed until something breaks.
Capabilities
A practical view of what is available and where limitations apply.
| Offering | Available | Detail |
|---|---|---|
| Blast Radius | Yes | Projects pull requests and change requests onto the actual environment before approval, returning risk score, affected services, reviewers and rollback context. |
| Incident prevent and resolve | Yes | Pre-change impact analysis, plus replay of changes to find the cause when something fails, returning ranked changes, affected services, owners and evidence. |
| Continuous Production Assurance | Yes | Reconciles intended, deployed and runtime state across the full stack, tracing divergence to source change, propagation path and reliability, security and cost impact. |
| Unauthorized change detection | Yes | Identifies changes that landed outside the approved path, with change actor, time, what it touched and the approval gap. |
| Waste and idle infrastructure identification | Yes | Finds orphaned and idle infrastructure with owner, dependency evidence and a safe removal plan. |
| VM dependency mapping | Yes | Maps host, process, service, listener, dependency path and owner per VM before a migration, change or incident. |
| Intent resolution with ambiguity flagging | Yes | Parses natural language, diff and workflow context into action, object, current and target state, and returns ambiguous targets to a human rather than guessing. |
| Governed execution | Limited | Executes the next action and verifies the result only within customer-set approvals and guardrails. |
| Headless interfaces (GitHub Actions, ITSM, IDE, MCP, CLI, console) | Yes | Embed into GitHub Actions for merge risk, ITSM change tickets, developer IDEs, MCP-connected LLM stacks, CLI or the empirik console. |
| Published pricing or free tier | No | No published price, free tier or self-serve sign-up; entry is via demo request or sales contact. |
Bot trust
How confidently AI systems can verify this profile from public evidence.
—of 100
ChatGPT—/100
Claude—/100
This profile has not completed a Bot Score assessment yet.
Evidence
Where this record came from, when it was reviewed, and how confidently it can be used.
- Verification
- Scribble researched these facts from the linked public sources.
- The owner has not manually confirmed every field.
- Last reviewed
- Primary source
- empirik.ai
Technical profile details
Record ID
191b9844-6808-424d-b8d4-ab60e8cef9ddCanonical URLhttps://profiles.scribble.network/listing/empirik-191b9844