Pricing built for engineering teams in the AI era

Transparent, predictable, batteries included. No per-seat tax, no token surprises, no premium tiers gating the features you actually need.

Trusted by AI Native Teams

Databricks
LlamaIndex
DataHub
Corelight
Snorkel
Monte Carlo
MotherDuck
Embrace
Eppo
Arize
DSPy

Philosophy

Pricing philosophy

Transparent

We tell you exactly what you're paying for and why. No surprise bills from unexpected usage or impossible-to-audit token costs.

Predictable

Pricing is tied to the scope of what RunLLM handles for you. If you know about how often you're going to need to investigate a production outage, you'll know how much you're going to pay for RunLLM.

Batteries included

Every customer gets the full product. Integrations, environments, team access, dedicated onboarding, ongoing support.

Model

How pricing works

RunLLM is priced on the volume of real work it does for you — issues detected, RCAs completed, questions answered, and actions delivered. Not seats. Not tokens. The more work RunLLM takes off your team, the more value you see, and pricing scales with it.

Issues Detected

What RunLLM detects before customers complains

Root Cause Analyses

A thorough investigation into what broke, why, and how you can fix it

Actions Taken

What RunLLM does to help you resolve issues — with a human in the loop if you prefer

Questions Answered

When RunLLM helps developers find what they need, instantly

Engagement

Getting started

  1. Intro & scoping

    Week 1

    A 30-minute call to understand your environment, integrations, and reliability goals. We map what RunLLM can cover and outline a pilot.

  2. Scoped pilot

    Weeks 2–4

    RunLLM runs in your environment against real signals. You see actual detections, investigations, and resolutions on your systems — not a sandbox.

  3. Production rollout

    Week 4+

    Expand coverage across services, environments, and teams. Integration support, tuning, and ongoing partnership included.

Common questions

Is there a POC process?

Yes! RunLLM is easy to get up and running, and our team will work with you to ensure the agent matches your expectations. The agent will be up and running in days, and we typically wrap up POCs in under a month.

How quickly do you get up and running?

You'll see your first successful RCA within a few days of starting the POC, and the agent should be fully configured within a week. Most POCs finish with a month — often faster.

Do I need to pay more for feature access?

No. Regardless of how you're using us, you'll have access to every skill RunLLM supports: predictive issue detection, RCA, issue resolution, and developer Q&A.

How does pricing scale as we grow?

Pricing scales with the volume of work RunLLM does. We right-size the contract with you as your environment grows, so there are no end-of-year surprises.

Evaluating an AI SRE?

One question matters

What's your agent's accuracy on novel incidents?

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