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Hard-won lessons on building and scaling ML models

How small teams can deploy highly adaptable autonomous systems.
December 19, 2025

Estimated reading time: 7 minutes

From self-driving cars to excavators: CTO at Bedrock Robotics, Kevin Peterson, shares foundational wisdom for creating AI for the real world.

“Build the machine that builds the machine.” It’s a phrase used by Bedrock Robotics’s CTO, Kevin Peterson, to describe his team’s approach to custom artificial intelligence (AI) that can learn from data, adapt its behavior to different situations, and self-diagnose problems.

The move toward autonomous machines is gaining momentum in the physical world, from self-driving cars to drones, manufacturing, and other areas of robotics. And with it, the field of machine learning (ML) – once only a black box for the most elite data scientists – is now seeing increased interest as organizations seek to build or fine-tune models for their own unique purposes.

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