trace

trace is a hardware-enabled software platform for household food waste management. In practice that means building, training and deploying machine learning models.

Who is it for? Mostly data science teams. They also list Environmental Engineering, Hardware, Internet of Things, Machine Learning and Sustainability, so expect those to show up in the feature set. As a very small product team themselves (1 to 10 people), they tend to serve customers of a similar scale best. You will probably talk to the people who build it, which is great until you need 24/7 support.

trace is based in Atlanta, Georgia. Their site is trace.tech.

Things worth asking about: compute pricing, MLOps features, and framework support. A short pilot with your real data tells you more than any demo.

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