Empirik

Empirik is an AI agent for infrastructure change rather than a general observability dashboard. It captures engineer intent from pull requests, change tickets, pipelines, console actions and agent calls, maps that intended change against a continuously updated application graph, and returns affected services, evidence, risk context and rollback information before an action lands. ¹²

The product spans cloud, on-premises and SaaS environments and is designed to move from analysis into governed action. Empirik describes a plan/approve/execute/verify workflow in which the graph provides system context while approvals and guardrails control what the agent may do. It also supports headless use through GitHub Actions, ITSM workflows, IDEs, MCP and CLI surfaces. ¹²

That architecture is differentiated because it connects change intent with a live dependency model instead of relying only on telemetry after an incident. Current independent reporting confirms the product positioning and launch context, but it does not independently establish the accuracy of blast-radius predictions, incident reduction or infrastructure-savings claims. ³

Empirik uses a sales-led enterprise model. The public site directs buyers to request a demo, while the current Terms state that fees are set in an Order Form and may include additional capacity or usage charges. No stable public numeric price was verified. ¹⁴

The lack of published pricing reduces comparability for smaller teams and makes value dependent on the negotiated deployment scope. It is also consistent with a product aimed at complex enterprise estates, where deployment architecture, integrations and capacity can differ materially between customers. ²⁴

Empirik publishes unusually detailed first-party security and data-boundary information for a young infrastructure agent. Its Security & Trust page states SOC 2 Type II attestation, TLS 1.3 in transit, AES-256 at rest, SAML/OIDC SSO, MFA, fine-grained RBAC, ephemeral credentials and customer-managed VPC or private-SaaS deployment options. It also states that customer code, topology and schemas are not sent to public or third-party LLM providers. ²

The Privacy Policy similarly states that operational data remains inside customer-managed or private environments and that no Empirik data is shared with external AI providers; it separately covers ordinary website and business-contact data, user rights and transfer safeguards. These are first-party policy claims rather than an independently inspected audit package, so the SOC 2 report itself should not be treated as independently verified here. ⁵

TechCrunch reported Empirik’s September 2026 spinout as an independent company with $21 million in seed funding and described its product as predicting the ripple effects of infrastructure changes, with reported customer context including Guardant Health and large enterprises. This supports company and product maturity context, but reported customer adoption is not the same as independent performance testing. ³

Empirik is best suited to DevOps, SRE, platform-engineering and infrastructure teams managing environments where a single change can propagate across cloud resources, Kubernetes, IAM, networking, SaaS and on-prem systems. The product is especially relevant when teams need to understand blast radius before approval, trace unauthorized changes or give AI agents enough system context to act within explicit controls. ¹²

It is less naturally suited to small teams looking for a low-cost monitoring tool with transparent self-serve pricing. Buyers that require extensive independent benchmarking should also recognize that the exact Empirik surface is still lightly covered outside launch reporting. ⁴³