Machine learning:
Data pipelines: ingest data from physical systems, curate datasets, and convert into training datasets
Training and experimentation: building reference projects for embodied AI use cases

Customer Love:

Landing customers: Running demos and building engineer-to-engineer trust alongside our founders based on machine learning work
Launching customers: Support onboarding customers onsite and remotely.
Improving product: Mapping customer needs and one off solutions to evolve our roadmap

Rerun

Rerun is building the data stack for Physical AI. They have an uncommonly talented tech team and expect everyone to take broad responsibility for what they build.

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