Driive Secures Pre-Seed Funding to Automate Scheduling for Home Service Businesses
Dispatching crews across a city with generic calendar software is like trying to run a pit crew with a bingo card. Every missed call, every sloppy route, every dead hour between jobs quietly bleeds cash while homeowners move on to the next contractor who actually answered the phone. Driive looked directly at that mess and built for reality instead of theory.
That mindset just pulled in an undisclosed Pre-Seed round for Driive, the Lincoln, Nebraska-based AI-native booking and scheduling platform built for the home service trades. Big salute to Co-Founders Quinn Small, CEO, Nick Small, CRO, and Corey Collins, CTO, for building something that actually understands how field service businesses operate instead of forcing contractors to cosplay as Silicon Valley workflow consultants.
The round included Nebraska Angels, Nelnet, Move Venture Capital, and Luke Hansen, Founder and CEO of CompanyCam. That investor mix tells a bigger story than the funding amount ever could. Operators betting on operators. People who understand the chaos of the trades backing software designed by people who’ve lived inside it. There’s a reason that matters.
Half the inbound leads in home services happen after 5 PM or on weekends. 78% of homeowners hire the first contractor who responds. That’s not a statistic. That’s economic violence hiding inside voicemail boxes across America. Contractors spend fortunes generating leads, then lose jobs because nobody answered fast enough. A plumbing company somewhere is burning money while a homeowner hires the first truck that texted back. Capitalism’s got jokes.
Driive’s product, Dot, attacks the problem where the money leaks out. Calls, texts, emails, qualification, scheduling, drive-time optimization, crew matching, confirmations. The whole thing moves like a dispatcher who drank 3 espressos and suddenly discovered machine learning. But the sneaky-smart part is this: Driive isn’t pretending AI alone is magic dust. Their scheduling engine handles the logic while the LLM acts as the language layer. Translation? Less hallucination. More trucks arriving on time.
And this is where the CompanyCam relationship gets interesting. Contractors already live inside operational systems that manage jobs, crews, and photos from the field. Driive plugging directly into that ecosystem feels less like “another SaaS tool” and more like infrastructure quietly sliding underneath an industry that still loses revenue to dead air and bad routing.
Lincoln, Nebraska isn’t exactly standing outside the velvet rope begging coastal VCs for permission to innovate. Driive built from proximity to the problem. Real crews. Real roads. Real customers. Turns out when software is created by people who understand the smell of a work van in July, the product lands a little different.










