Rushil
Goel

At Samsara, Rushil Goel had a front-row seat to the connected fleet revolution. He ran the fleet division as VP Product and General Manager, growing it from nothing to more than $400 million in annual recurring revenue, serving over 20,000 customers. Every one of those customers was a fleet operator wiring their trucks with GPS trackers, dashcams, and telematics sensors - generating petabytes of data on how their drivers behaved on the road.

The data was extraordinary. Harsh braking events, cornering at speed, time-of-day patterns, route characteristics, acceleration profiles. If you wanted to know how risky a driver actually was, the answer was right there in the logs. The problem was that none of this mattered when those same customers went to renew their insurance. Their carrier would look at their DOT history and industry loss averages and quote them accordingly - as if the telematics data didn't exist at all.

Fleets that had invested real money in safety were being treated exactly like fleets that hadn't. That mismatch was Rushil Goel's founding insight.

Goel co-founded Nirvana Insurance in 2021 alongside Abhay Mitra and Alex Carges. The pitch was simple: use the same telematics data that fleet operators were already generating to underwrite their insurance more accurately. Safe fleets would pay less. Risky fleets would pay what they were actually worth. And the whole process - quoting, underwriting, claims, safety coaching - would run on software, not paperwork.

The first policy sold in 2022. By December 2025, Nirvana had raised $100 million in a preemptive Series D - investors approached the company; it didn't need to go to market - at a $1.5 billion valuation. They had written over $100 million in annual premiums and doubled year-over-year. The AI models had been trained on more than 30 billion miles of real-world fleet driving data.

Goel's path to commercial insurance CEO is not a straight line. He studied Computer Science at IIT Bombay, then started a PhD in Electrical Engineering and Computer Science at MIT before pivoting to an MBA with honors at Wharton. Along the way he co-founded AirCare Labs - a digital health startup doing remote patient monitoring via telematics (the pattern shows up early) - which was eventually acquired by Cardinal Health.

After Wharton he joined The Boston Consulting Group, working in strategy across industries, before taking a sharp turn to India's ride-hailing boom. At Ola, he ran Ola Money - the company's payments arm - and grew it to $1 billion in annual transaction volume, making it one of India's leading mobile wallets in the process. That was 2015. The fintech playbook - making something complex invisible to the end user, with data flowing in the background - stuck with him.

Then came Samsara, where he found his real proving ground. Five years building fleet operations software from scratch for the US market. By the time he left, the product line he built was processing data from hundreds of thousands of vehicles. He had talked to more fleet operators than most insurance actuaries ever would. He knew their problems better than they knew their own insurance policies.

That phrase - "from first principles" - comes up repeatedly in how Goel talks about Nirvana. He is not interested in putting a software layer on top of a traditional insurance company. He wants to build insurance the way you would build it if you started with data, not if you started with actuarial tables. That distinction drives every product decision: how risk is priced, how claims are processed (minutes, not months), how drivers are coached on safety, how fleets understand their own risk profiles.

Lightspeed Venture Partners, one of Nirvana's earliest backers, called Goel's profile "rare: high intellectual bandwidth, technical know-how, product chops, drive, and vision in one person." They have now invested in all four rounds.

Nirvana's description of itself as an "AI-native operating system for insurance" is not marketing language. The underlying architecture is genuinely different from traditional carriers. Telematics data flows directly into underwriting models. Every quote incorporates real driving behavior - harsh braking frequency, cornering, speeding patterns, time-of-day exposure. Fleets with better safety profiles get up to 20% discounts upfront, not just at renewal after a claims-free year.

On the claims side, Nirvana uses AI to process and resolve claims in minutes where traditional carriers take months. Camera footage from dashcams gets analyzed automatically. Liability determination that used to require weeks of investigation can happen in an afternoon. For fleet operators, a fast claims resolution is not a convenience - it is an operational necessity when a truck is off the road.

The safety platform sits on top of all of this. Nirvana's software gives fleet managers visibility into individual driver behavior - the same telematics signals that inform underwriting - and uses AI to generate personalized coaching recommendations. The loop closes: safer behavior generates better data, which produces lower insurance premiums, which creates an economic incentive to invest in more safety technology.

The 30 billion miles of driving data Nirvana has accumulated is the competitive moat that traditional insurers cannot replicate quickly. It takes years to collect, and it requires fleets to actually use telematics hardware - which is itself a barrier that only safety-forward customers cross. The dataset trains models that are more accurate than actuarial tables built from industry averages, and the advantage compounds with every new mile logged.

By December 2025, Nirvana was covering both fleet and non-fleet commercial trucking, writing over $100 million in annual premiums with best-in-class loss ratios - the industry metric that tells you how efficiently a carrier pays claims relative to premiums collected. The fact that Valor Equity Partners led a preemptive $100M round is not a small signal. Preemptive rounds happen when an investor believes the company doesn't need more money and is worth paying a premium to not let it shop the deal.