RoboBoom
Audrow Nash· July 11, 2024· 2:05:38

Why Not Fast Casual? Chef Robotics' Rajat Bhageria

Chef Robotics CEO Rajat Bhageria joins Audrow Nash to discuss food automation, startup strategy, and deploying AI robots in production kitchens.

In this talk

  1. 3:02

    Why food assembly is a promising robotics market

    Bhageria traces his interest in physical-world AI to his earlier computer vision work at ThirdEye. After speaking with food businesses, he found that difficult conditions and repetitive tasks worsened labor shortages, while assembling meals required more labor than preparation or cooking. He says assembly accounts for about 60 percent of labor in commercial and industrial kitchens.

  2. 25:57

    Why Chef shifted beyond fast casual

    Chef initially pursued fast-casual restaurants such as Chipotle and Sweetgreen, where workers handle many ingredients and tasks. A robot that covered only a few ingredients could not free a worker to take on other duties. Bhageria says higher-volume meal factories offer more specialized roles, letting Chef start with a handful of ingredients and build capability from real production use.

  3. 32:50

    Building a data flywheel for food handling

    Food varies across ingredients, batches, and customers, making rigid rules and simulation less useful for flexible handling. Chef measures portion weight, placement, speed, and reliability using cameras, force-torque sensors, and scales. Production data helps improve the robot policies, and Bhageria says demonstrations and imitation learning can shorten the time needed to introduce new food types.

  4. 1:16:08

    Designing for service and production realities

    Chef uses a common robot setup across customers, with a small set of interchangeable utensils and software that can support different components. Bhageria describes field-replaceable parts, outside service technicians, and hardware changes such as upgrading to more water-resistant scales after washdowns caused damage. He also explains that real sites bring surprises, including sloped floors, shifting conveyors, changing ingredients, and workers who need clear visual guidance.

  5. 1:36:48

    Finding customers before scaling the product

    Bhageria argues that robotics companies need to focus on a costly customer problem because hardware and deployment make iteration slower than in software. Chef gathered customer requirements, agreed on performance tests, and secured contracts with deposits before building systems. He also describes using equipment financing for deployments and says a strong team, customer understanding, and investment in data and testing tools help manage production challenges.

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