Two ways to work with Codeflash.

Engage us to cut your bill. Then keep it there with Continuous Optimization.

For engineering leaders

Optimization Engagement

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Scoped engagement, custom pricing

A time-bounded engagement that finds and ships the performance waste in your production system. Run by Codeflash engineers, powered by codeflash-agent.

  • Starts with a paid diagnostic. In three weeks we profile your system, identify the top bottlenecks, and quantify the annual savings opportunity.
  • Guaranteed ROI. If we don't identify at least 5× the diagnostic fee in annualized savings, the diagnostic is on us. We scope every engagement so the savings exceed what you pay.
  • Every PR reviewed by a Codeflash engineer. Not just agent output. A human reads and approves every change before it reaches your repo.
  • Flexible commercial structure. Scoped fixed fee or shared-upside, agreed before work begins.
  • Typical outcome: 40–90% infra cost reduction on the targeted workload.

"Having Codeflash run the agent makes more sense than asking our engineers, who are focused on product and features, to develop and run that process themselves."

Crag Wolfe · Chief Architect, Unstructured
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Paired with an engagement

Continuous Optimization

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Included in or added to an engagement

The same agent that ran your engagement stays on, watching every new PR going forward. The bill stays down because new code gets optimized before it ships.

  • Runs on every PR your team opens. Benchmarks changed functions, catches regressions, suggests faster rewrites with numbers attached.
  • Works where your team already works. GitHub, Claude Code, Cursor, and Codex. No new workflow.
  • Regressions blocked at the source. Caught in the PR where they're introduced, not discovered three sprints later.
  • Your code is never used to train models. Not ours, not any third party's.

Most customers run Continuous Optimization as the natural follow-on to an engagement. Pricing is agreed during scoping.

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Common questions.

Do you publish engagement pricing?

No, because engagements vary materially by codebase size, spend, and scope. The paid diagnostic is the cleanest way to get a real number. If the opportunity doesn't exceed the diagnostic fee by at least 5×, the diagnostic is refunded.

What does the diagnostic actually involve?

Over two to three weeks, we profile your system, identify the highest-impact bottlenecks, and quantify the annual savings opportunity in dollar terms. You receive a written report with specifics. That's the decision point, not a commitment to the full engagement.

Will the savings last after the engagement ends?

Only if you add Continuous Optimization. Without it, new code will reintroduce waste over time. With it, the same agent watches every PR going forward and catches regressions where they're introduced.

How is this priced relative to what we'd save?

We structure every engagement so the savings materially exceed the cost. We won't proceed to a full engagement if the diagnostic doesn't surface a clear path to that outcome. The Unstructured engagement cut $10K/month to $1.1K/month in seven weeks — the ROI case was not close.

Can we do on-prem or in our own VPC?

Yes. SaaS, your cloud, or on-prem — agreed during scoping. Same agent, same process, different deployment.

Will you use our code to train models?

Never. Not ours, not any third party's. This is in our SOC 2 Type 2 audit and our customer agreements.

What languages and stacks?

Python, Java, JavaScript, TypeScript, Go, and more. ML stacks including PyTorch, JAX, vLLM, Hugging Face Diffusers, YOLO, and spaCy. If you're not sure, tell us your stack and we'll give you an honest answer.

Start with a 20-minute diagnostic.

We'll tell you where the waste is and what we'd target, before you commit to anything.