Work with us

Bring us one AI workflow.We'll make it cheaper, and prove it.

Fixed-price engagements built on Azathoth. We measure what your workflow costs today, find cheaper options that score just as well on your own cases, and hand you the evidence.

Engagements

Outcomes, at a fixed price.

You pay for a result, not for hours. Every engagement ends with measured numbers you can check yourself.

Optimization Pilot

4–6 weeks · fixed price

Starting at$20,000

Everything in the audit, then the winning workflow running in production in your own AWS account.

  • Everything in the Workflow Cost Audit
  • Deployment into your AWS account
  • Governed promotion and model failover set up
  • Your team trained to run and re-optimize it
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Re-optimization Retainer

Monthly

Starting at$2,000/mo

Models change every month. We keep your workflows on the best measured option as new ones arrive and old ones retire.

  • Re-benchmarking when new models ship
  • Replacement plans when a model is deprecated
  • Priority support and upgrades
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Platform Team Workshop

A hands-on half day on benchmarking and governed promotion of AI workflows.

from $3,000

Architecture advisory

A senior review of your AI systems, from model choice to deployment.

from $175/hr

Founding customers

The first three get a better deal.

Our first three customers receive up to 30% off any engagement.

In return, we ask for a named case study, your logo on this site, and a short reference call when someone asks us how it went.

How it goes

From first call to evidence.

  1. 01

    A 30-minute call

    Free. You tell us what your AI workflows do and what hurts. No pitch deck.

  2. 02

    A one-page proposal

    Within 48 hours: your problem in your words, what we'll do, a timeline, and a fixed price.

  3. 03

    The audit

    We rebuild the workflow, benchmark it on your real cases, and search for cheaper options.

  4. 04

    Your decision

    You see the evidence and decide what, if anything, goes to production.

Questions

The honest answers.

You're one person. Is that a risk?

Azathoth is open source and runs in your own account, so you own everything we build together, whatever happens to us. Small also means fast: you talk directly to the engineer who built the engine.

We already use LangSmith or Langfuse.

Good. Those tools observe what your AI does. Azathoth benchmarks it, optimizes it and controls what reaches production. They work side by side, and Azathoth's tracing uses the OpenTelemetry standard.

Our security team won't let data leave our account.

With Amazon Bedrock, Azathoth runs inside your AWS account on models you've approved, and its records stay in your own database and storage. Tools only receive the credentials they explicitly declare, and traces never carry content.

We don't have budget for a big project.

That's why the audit is small and fixed-price. Many managers can approve it without a full procurement cycle. Tell us your sign-off limit and we'll scope to it.

What if we're not on AWS?

Azathoth runs anywhere Python or containers run, with SQLite or PostgreSQL, and reaches hundreds of models through OpenRouter. Our ready-made production template targets AWS.

Who owns what at the end?

You own your workflows, your benchmarks and your data. Eldritch owns Azathoth and its general improvements, which stay open source.

Prefer to do it yourself?

Azathoth is free.

The engine behind every engagement is open source. Install it and explore on your own, and call us when you want a hand.

pip install azathoth-ai

Next step

Thirty minutes. No pitch.

Tell us what your AI workflows do and what hurts. You'll leave the call knowing whether an audit makes sense.