Bessemer Leads $10M Series A for Factory Software Startup Harmoni
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Harmoni, a factory orchestration platform for manufacturers, has raised $10 million in Series A funding led by Bessemer Venture Partners. Alongside the round, announced September 9, 2026, the company introduced HAL, an artificial intelligence system built to put context-aware information in front of factory-floor workers.
The company operates out of Akron, Ohio, and New York, New York. David Caputo and Adam Ellis founded it in 2023 to close a gap in factory technology. US manufacturers are projected to need up to 3.8 million more workers by 2033, and nearly half of those roles are at risk of going unfilled as rising costs, reshoring, and more complex production environments pile on pressure.
Conventional automation handles highly repetitive physical work well, but much of manufacturing still involves variable jobs, frequent changeovers, and coordination among people, machines, and systems. Even after heavy spending on ERP systems, machine connectivity, and automation, execution on the floor often stays scattered across disconnected tools, manual steps, and outdated workflows.
Harmoni pulls those pieces into coordinated action. At each workcenter it gives operators a single command center with the information and tools needed to do the job correctly, while linking the people, machines, systems, and processes behind production. The platform is designed to deploy in weeks. Customer results show its automations return more than 200 hours of productive time per operator per year by removing administrative and other non-productive tasks.
The system rests on three layers. Automation uses RFID and machine-level workflows to take over labor tracking, ERP transactions, document retrieval, quality reporting, and support requests. Process control makes sure operators always have the right work instructions, machine programs, and checksheets, cutting errors and improving quality. Observability combines ERP, machine, operator, and RFID data into a live view of performance and root causes.
HAL sits on top of that foundation. Because Harmoni already knows the active job, part, machine, process, and engineering requirements, that context flows to the AI automatically, and HAL turns it into guidance at the point of production: understanding requirements, diagnosing problems, flagging risks, and deciding what to do next.
The funding will go toward faster platform development, a larger team, and bringing factory orchestration to more manufacturers.