❯ Tutor Intelligence raises a $75 million Series B to sell robot work by the hour and train models on deployment data

Earlier investors participate againTutor Intelligence announced a $75 million Series B on November 2, led by Andreessen Horowitz, bringing total funding to $117 million. Union Square Ventures and Neo, leaders of its Series A and seed rounds respectively, also participated. Proceeds will support robot foundation-model training and manufacturing and deployment of its Sonny and Cassie workers.

Charging by time or completed workTutor provides lifting, movement and manipulation services in factories and warehouses, charging by the hour or by the pick without an upfront equipment purchase or long-term contract. It handles deployment, maintenance and software upgrades. Customers buy work performed over time, while the operator initially bears much of the investment in equipment and support and connects customer spending to usage.

Deployment starts the training processTutor puts robots into real production environments, guided jointly by remote human tutors and models, then trains on the data generated by completed tasks. That sequence allows it to provide a service while improving automation instead of waiting for a general robot model to mature first. a16z’s investment explanation also emphasizes deployment data and hourly pricing as features it values.

Manufacturing must keep up with repeat ordersTutor says robots operate in almost four times as many facilities as a year earlier, and nearly a third of organizations receiving robots in the past year were existing customers adding deployments. It aims to have more than 1,000 robots under contract by the end of 2027, a future target. Capital supports manufacturing, field implementation and training, all of which need to scale with actual work performed.

▮ SIGNALUsage-based pricing leaves Tutor with upfront equipment and service costs, while deployment supplies training data; greater reliability and declining human-support needs are what would let the arrangement improve both customer value and operating margins.