GigaML

01The Full Story: How 4-5 People Took DoorDash Out of a Giant's Mouth

GigaML is a company YC holds up as a paradigm case. What it does sounds like a space only big companies can afford to touch — supplying Fortune 500s like DoorDash with voice customer-support AI agents that genuinely take phone calls, at 500K-1M calls per day for a single customer. The counterintuitive part: all of GigaML is 4-5 engineers, and exactly 1 full-time human handles onboarding and running those customer relationships. So how did it take a flagship account like DoorDash away from an incumbent vendor with 100x the headcount? Not by raising more money or hiring more people, but by two things. First, in the enterprise's real POC (proof of concept), its product performed measurably better — it beat the competition on accuracy and handling quality, the customer let the data decide, and switched vendors outright. Second — and this is where the real leverage lives — they run an internal AI agent called Atlas that absorbs every repetitive dirty job inside "onboarding a new customer": writing integration code, tuning policy, changing configs. Atlas is exactly what lets 4-5 people carry a pile of Fortune 500 relationships. So what this case is really about isn't "a voice customer-support product." It's "an organizational model where AI automates away every internal function, keeping the team radically small."