Managed Bazel remote execution and cache, with AI.

Hermetiq provides Bazel remote execution and shared caching, with AI that diagnoses failures, applies fixes and optimizes builds. Run the service in Hermetiq Cloud or your own environment.

Discuss your deployment →

Run builds remotely. Keep improving how they run.

  • Managed remote execution and shared caching
  • AI diagnosis, fixes and build optimization
  • Queue, transfer, execution and worker visibility
  • Cloud or on-prem deployment with agreed support

Choose where it runs.

Use Hermetiq Cloud or deploy in your private cloud or data center.

Cloud

Remote cache, remote execution and Build Analytics & AI, operated in Hermetiq Cloud.

Who operates your infrastructure?
Hermetiq operates the remote cache and execution infrastructure
Where Hermetiq runs
Hermetiq Cloud
You keep control of
Your team owns application code and tests, controls repository and CI access, and reviews and merges Barn Owl’s proposed fixes. You decide where it earns more autonomy.

Review your workload and any migration effort with Hermetiq before onboarding. Once the workload has a supported Bazel build, create a project, connect build data and provision your executor with us. Configure Bazel and verify a remotely executed action.

Setup guide

SOC 2 Type I · Trust Center

On-prem

Remote cache, remote execution and Build Analytics & AI, supplied by Hermetiq in your environment.

Who operates your infrastructure?
Hermetiq supplies the stack; operating responsibilities are agreed with you
Where Hermetiq runs
Your private cloud or data center

Plan your installation with Hermetiq, then deploy cache, workers and intelligence in your environment. Agree on access, maintenance and day-to-day operations for your deployment.

Setup guide

Build Analytics & AI is a complete offering and is also included with Managed Cache & Execution. Barn Owl is the AI build engineer inside Hermetiq. It watches your connected telemetry, explains what changed, and proposes fixes as PRs you review and merge. It learns from build outcomes and earns more autonomy only where you grant it. Hermetiq’s MCP integration also brings build context into your existing coding agents.

Discuss your build workload.

Tell us what you build, what keeps interrupting delivery and which operations you want to hand off. We’ll assess fit and agree the operating scope before onboarding.

Contact Jake for pricing (Jake@Hermetiq.com)

Not using Bazel yet? We assess migration effort first. The agreed workload needs a supported Bazel build before operation begins.

Already provide your own cache and execution? Explore Build Analytics & AI →

Find the bottleneck behind a slow remote build.

Hermetiq connects the build, action, and infrastructure evidence required to distinguish workload changes from queue, worker, transfer, and storage pressure.

Action phases

How much time did completed actions spend queueing, fetching inputs, executing, and uploading outputs?

Capacity pressure

Which worker or platform queue is saturated, and which builds are creating demand?

Workload cost

Which action types and targets are driving CPU time, wall time, and configured execution cost?

Regression point

What changed between comparable builds when latency or cost moved?

Provision the service. Connect Bazel. Improve the build.

Choose Hermetiq Cloud Managed Cache & Execution or Hermetiq On-Prem Managed Cache & Execution. Confirm platforms, capacity, connectivity and operational responsibilities with Hermetiq before connecting your executor.

01

Set up cache and execution

Provision the agreed cache, scheduler and worker topology in Hermetiq Cloud or your environment, with Hermetiq provisioning support and the agreed operating model.

02

Connect and verify Bazel

Use the project’s remote cache, executor and authentication settings. Send BEP and completed-action data, then verify that the intended actions execute remotely.

03

Diagnose, fix and validate

Use action phases, cache behavior and configured infrastructure telemetry to investigate failures and slowdowns. Apply approved changes through your coding agent and compare the resulting builds.

Move from aggregate remote time to the action and fleet evidence beneath it.

Remote action phases

Inspect individual action phases with worker and configured cost context when those fields are available.

Remote execution trends

Follow action volume, queue and wall time, CPU, fleet, and configured cost across recorded builds.

Tie each conclusion to the execution layer that produced it.

Completed-action timing

Queue, input-fetch, execution, and output-upload conclusions come from the phase fields reported for completed actions.

Bazel linkage

BEP connects action and infrastructure behavior to the invocation, configuration, targets, and outcome.

Infrastructure state

Scheduler, worker, storage, and platform-queue claims require the corresponding Buildbarn or OpenTelemetry signals.

Cost attribution

Cost views depend on completed work and the cost inputs configured for the deployment.

Verify the underlying telemetry and performance model.

Start with one Bazel workload.

Choose Hermetiq Cloud Managed Cache & Execution or Hermetiq On-Prem Managed Cache & Execution, then plan the platforms, capacity and telemetry your project needs.

Technical review: September 8, 2026 · Verify configuration details against the Bazel and Buildbarn versions deployed in your environment.