Bernard builds AI employees for home and commercial appliance servicers. Its systems handle customer communication across phone, text and email, as well as scheduling and dispatch, and carry each job through the full lifecycle: diagnosis, parts preparation, technician handoff and follow-up. The company is headquartered in New York City and works in the field service management and appliance repair verticals.
The company's products are the AI Employee platform and Pre-ID, a diagnostic engine. Pre-ID combines the specific appliance and its symptoms with repair history, similar completed visits, manufacturer guidance and parts data to produce a diagnosis, ranked parts and follow-up questions. It answers the call, runs the diagnostic, matches predicted parts against live inventory and sends the technician out with a plan for the visit.
The engineering work spans several technical domains: AI agents, multichannel communication automation, appliance repair diagnostics, predictive parts forecasting and inventory matching, warranty data integration, scheduling and dispatch automation, and retrieval from repair history and manufacturer guidance. The stated aim is to solve the job before the truck rolls, rather than merely booking the visit.
Half of all appliance repair visits fail on the first trip. Bernard reports that its systems raise first-visit fix rates from 50% to 80%, with an emphasis on technicians arriving prepared and completing more repairs on the first visit.
