The complete LLM control plane for scaling AI products
We work with your team to set it up based on your real use case, so you understand it, trust it, and can run it yourself.
80%
Fewer critical errors reaching production
8x
Faster prompt iteration using GEPA (Agrawal et al., 2025)
25%
Accuracy increase in the first 2 weeks
Most teams know they need evals.
Very few are confident theirs mean anything.
Most evals don’t match real user quality
Teams measure what’s easy, not what matters.
Evals are slow and painful to maintain
Test cases break. Datasets go stale. Evals are set up and forgotten.
Results don’t lead to decisions
It’s still unclear whether a change is safe to ship.
Latitude is an AI engineering platform.
But more importantly, it’s a way to stop figuring this out alone.
Define what “good” means for your product
We help you turn fuzzy quality goals into concrete criteria.
Set up automated and human review loops
Combine fast automated checks with targeted human reviews.
Design evals that reflect real usage
We build evals from real inputs and real edge cases.
Make evals part of everyday development
Evals run as you iterate, not as a separate project.
A practical way to set up evals that actually work
1
We start by understanding what you’re building, who it’s for, and where quality matters most.
This gives us the context needed to design evals that reflect real risk and real user expectations.
2
We design and implement evals side by side with your team.
That includes datasets, grading criteria, and review flows, all tailored to how your product actually behaves in production.
3
Once everything is live, evals run continuously as you make changes.
You can compare options, catch regressions early, and move faster without guessing.
The tooling matters, but the setup matters more. That’s why we help.
If you’re serious about evals, a short call is the fastest way forward.