Spell

Spell is the MLOps platform built to meet the unique challenges of operationalizing deep learning at scale. Put simply, it is about automating builds, tests and deployments every time code changes.

Who is it for? Mostly engineering teams. Alongside the main category they mention Artificial Intelligence (AI), DevOps and Machine Learning. They are a small team, 11 to 50 people, which usually shapes who they work with. Small vendors mean quick answers and real influence on the roadmap, but check who covers support when someone is out.

Spell is based in New York, New York and around since 2017. More on spell.ml.

Our checklist for this category: build minutes pricing, caching, and integrations with your repo. Get the renewal terms in writing before the first invoice.

Every review on Revaw shows how it was verified, so if you know Spell well, your review carries weight here.