"I hated insurance. Swore I'd never end up in it." — Dakotah Rice, CEO
Then they built the most ambitious AI brokerage on the planet. Meet Harper — the company turning a $100B industry of email and spreadsheets into a fully autonomous engine for Main Street America.
It started with a trauma — and maybe a grudge. Dakotah Rice grew up watching his dad run a nightclub, his uncle's trucking company get crushed by insurance and financing costs before it ever had a real chance. The system was supposed to protect these businesses. Instead, it buried them.
After stints at Goldman Sachs (Investment Banking), Carlyle, and Coatue — and a Harvard Business School chapter he left unfinished — Dakotah tried his hand at Poolit, a fintech that scaled to $100M AUM before hitting a wall. He shut it down in 2023. "My ego made it hard to accept the failure," he told TechCrunch. "In hindsight, I should have shut it down a year earlier."
Humbled and re-energized, Dakotah called up his old Goldman colleague Tushar Nair — a 9-year Goldman engineering veteran who spent years automating the commodities desk with ML/AI. Their first instinct was to build AI tools for existing brokers. Then they had a better idea: become the broker.
Every legacy professional services business will have an AI-native counterpart that operates more efficiently, generates more revenue, and grows faster than incumbents.
— Harper Founding ThesisA finance heavyweight turned startup founder, Dakotah brings the kind of pedigree that commands boardroom respect and the kind of street cred that comes from watching real businesses get crushed by a broken system. He didn't choose insurance — insurance chose him. His family owned a brokerage. He hated it. Then he built the better version. Dakotah studied Political Science at Brown ('12), briefly attended Harvard Business School, and worked his way through Goldman, Carlyle, and Coatue before founding two companies. The second one is Harper.
The quiet engine behind Harper's intelligence. Tushar spent nearly a decade at Goldman Sachs, rising to Software Engineering Manager, building ML/AI systems that automated complex workflows for the commodities and private wealth desks. He later joined Harry's (the razor brand) as a Staff Software Engineer before co-founding Poolit with Dakotah. When they shut Poolit down, Tushar brought the technical lessons and doubled down on automation — this time in insurance. Illinois Institute of Technology, Computer Engineering.
The broker answers. Takes notes by hand. Promises to "get back to you." Transfers file to manila folder. Manila folder joins pile.
Gets voicemail. Emails go unread. Broker is busy. Broker is always busy. Broker handles 20–30 deals a month. That's the limit. That's been the limit forever.
Traditional broker doesn't know the right carrier. Doesn't have the network. Doesn't have the data. The trucker stays uncovered. The dream park stays parked.
Customers don't know Harper uses AI. And they don't care. They just know it's faster, cheaper, and someone picks up the phone. That's the point. Harper Hub — the company's flagship internal AI platform — does the invisible work that makes the magic happen.
Applications that used to take days to fill out are completed automatically. No human bottlenecks, no transcription errors, no coffee breaks.
A seasoned broker knows a few dozen carriers. Harper's AI synthesizes across 160+ simultaneously — weighing appetite, pricing patterns, and underwriting behavior in real time.
The AI manages submission routing, follow-up cadences, document collection, and pipeline tracking — eliminating the operational weight that buries human brokers.
Every client interaction logged, managed, and optimized. Harper handles more than 1,000 customers per month — versus 20-30 for a typical human brokerage team.
Harper achieves 100% placement success on Tech E&O policies — without AI exclusions. Even the AI companies need insurance, and Harper delivers where others can't.
Every broker conversation, every placement, every claim interaction feeds the system. Harper gets smarter every day — accumulating the institutional knowledge that took traditional brokers decades to build.
Harper's edge isn't specializing in one sector — it's solving the complex, the weird, the "nobody will cover us" cases that traditional brokers turn away. Their sweet spot: mid-sized businesses with operational complexity, compliance needs, and risk profiles that require real expertise.
Harper's clients — daycares, roofers, truckers — often don't know the platform runs on AI. "ChatGPT is sometimes foreign to them." That's the point. The tech is invisible. The service is undeniable. Build great AI. Let the service do the talking.
A $54M company named in quiet tribute to family. Dakotah's family owned an insurance brokerage. He hated it. Then he built the future version of it. Full circle.
The US commercial insurance brokerage market generates over $100 billion in annual commissions. Most of it still runs on email and spreadsheets. Harper sees that as an invitation, not a moat.
Dakotah's long game isn't just insurance. He wants Harper to become a one-stop operational layer for small and mid-sized businesses — covering risk, compliance, and eventually the full back office. "Make it simple for them to do their core work, and we basically do everything else." That's not a brokerage pitch. That's a platform play.
The industry average for a commercial insurance quote is 5–7 business days. Harper does it in 1–2. In a world where a daycare needs a certificate of insurance before Friday to open its doors — that's the difference between open and closed.
Harper's $54M has come from some of venture's most respected names — institutions that don't bet on incremental improvements, but on companies trying to own entire categories.
Harper exemplifies how AI can unlock software-like margins in a traditionally low-tech industry.
— Emergence CapitalThey're building out engineering to push Harper Hub further. Growing a brand that Middle America will trust. And doing it with a 25-person team that moves like 250. If you want to own something real — the unglamorous, essential machinery of business insurance — this is the room.
The right protection — without the padding, the exclusions, or the fine print traps. Real coverage for real businesses.
100% success placing tech E&O with no AI exclusions. Yes, including AI companies. Yes, the irony is the point.
From a single vehicle to a full fleet. Garage liability for service and storage. Built for the businesses that keep America moving.
Safeguard buildings, equipment, and inventory. Because the place where you work deserves protection too.
Defense against data breaches and digital threats. In a world where every business runs on software, every business needs this.
Extra layers when the unexpected happens. Surety bonds to secure contracts and financing. The insurance your insurance needs.