Empirik Emerges Out of Stealth with $21M in Seed Funding

Empirik, making agents system-aware, led by Kartik Chandrayana, Sudheer Dhurjati, and Avon Puri, has emerged out of stealth with $21 million in funding from Sequoia, S32, Canapi & Alumni Ventures. 

Software Is Becoming Autonomous. Infrastructure Is Still Manual.

Coding agents are already writing, refactoring, and shipping software at machine speed, driving an explosion in infrastructure changes, from deployments and permissions to configuration updates and shifting dependencies.

Yet infrastructure operations remain largely manual. Teams still review changes, map dependencies, estimate blast radius, and respond after failures occur.

More headcount will not solve the problem. Observability diagnoses issues after the fact, while AI SRE primarily accelerates incident response. Preventing failures requires systems that understand the impact of a change before execution.

Software Has a Repo. Infrastructure Does Not.

Coding agents work because the codebase is structured, versioned, and machine-readable, allowing changes to be understood before execution. Infrastructure lacks an equivalent source of truth.

• IaC defines declared state, not actual resource relationships. It constantly drifts, while critical dependencies remain outside the code.

• Service meshes and runtime topology capture communication paths, but miss virtual constructs such as IAM roles, routing tables, quotas, and security groups.

• CMDBs require continuous maintenance, often fall behind, and fail to capture ephemeral cloud and Kubernetes workloads.

• Point tools operate within individual domains, without understanding how cloud, SaaS, code, CI/CD, IAM, Kubernetes, and on-prem systems connect.

Without a shared infrastructure model, autonomous operations become guesswork, and infrastructure guesswork carries a blast radius.

Empirik Builds the Missing Operational Layer.

Every infrastructure action has two sides: intent, what an engineer or agent is trying to do, and impact, what the action will actually touch.

Empirik captures change intent, computes the potential blast radius, and determines whether a change can execute autonomously or requires human review.

1: Change Events as the Primary Signal:

Uses change events as the primary signal before execution, rather than relying on runtime data to diagnose failures after they occur.

2: Unified Infrastructure Compiler:

Builds a live, unified model across on-prem, cloud, and SaaS, treating virtual constructs such as IAM policies and routing tables as first-class infrastructure components.

From Reactive Operations to Proactive Infrastructure.

Enterprises can move infrastructure operations upstream with the same operational model:

• Block or flag risky changes before merge or deployment.

• Assess blast radius and identify affected owners before changes land.

• Detect drift between intended and live state.

• Enrich change governance with the infrastructure actually affected.

• Provide engineers and AI agents with ground-truth context for architecture, migrations, incidents, security, and provisioning.

The same system that answers infrastructure questions today can validate actions next, and safely execute them as enterprises grant greater autonomy.

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