How product teams use Lovelaice to turn live AI products into measured, reliable systems — with the deliverables and timelines that made it possible.
We came into a live AI feature without a quality measurement baseline, alongside a list of improvements that had sat on the roadmap for months. We delivered measurable quality uplift on the model they were already running.
A sustainability-tech team had a live AI screening agent that all five top-tier model providers failed equally. They shipped a production-ready agent on GPT-5 Mini at 93% accuracy — on a cheaper model than any earlier attempt.
A healthtech team had a validated golden set, reviewed by an expert and checked case by case. When we ran it systematically across models, a consistent bias surfaced — one the team wasn’t looking for, and would never have found one recommendation at a time.
Want to be next? Book a call.
Bring your documents, run your first experiment, and see results in one session. We'll guide you through the entire process.
Not ready to demo? Take the 3-min diagnostic instead.
Define what good looks like for your AI feature, measure it on real data, and improve it with your domain experts in the loop, no code required. Teams have gone from 52% to 88% accuracy in under three weeks.
