Consulting Services
Hamel Husain
ML Engineer with 20 years of experience.
Shreya Shankar
ML Systems Researcher Making AI Evaluation Work in Practice
What We Do
We help teams already shipping AI / LLM features build eval systems so they can ship faster, reduce manual QA, and catch failures before users do.
Is this you?Your team spends most of their time manually QA-ing your AI features, and you know it won’t scale.
You’re scared to ship AI changes because you don’t trust your metrics.
You’ve hired smart people, bought tools, and you’re still guessing whether your AI is getting better or worse.
We don’t want you to have a long-term dependency on us. We’re not here to pitch you new frameworks or expensive infrastructure. We’re here to teach you methods to experiment faster and systematically improve your systems.
We don’t chase recurring revenue or sell maintenance contracts. That creates perverse incentives. Instead, we work alongside your team and transfer knowledge so you can be successful.
AdvisoryWe partner with you for roughly 8 weeks to:
Map and prioritize errors in your product
Design application-specific evals
Audit your current metrics and experimentation process
Identify bottlenecks blocking iteration
You get written artifacts: eval specifications, metrics and a roadmaps your team can execute.
Minimum engagement starts at $178,500 for an 8-week sprint. We take on a limited number of engagements per quarter. If this is out of your budget, check out our AI Evals course.
Our guarantee: If we can’t deliver in 8 weeks for any reason (including if your team’s bandwidth shifts), we keep working at no extra cost until we do.
We have worked with companies like OpenAI, Google, Salesforce, Pfizer, Khan Academy, Airbnb, Intuit, Amazon and more. Learn more about our services and see testimonials here.