Our story

Built by people who got tired of getting ripped off

CarGence started after a $4,800 mistake on a 2018 Accord. We had all the tools — Carfax, KBB, Edmunds — and still paid $3,000 over real market value. So we built the tool we wished existed.

50,000+
Vehicles analyzed
$2,400
Avg savings per deal
92%
Deal accuracy rate
4.9★
User rating

The problem with car buying

The average car buyer spends 3 hours researching but has less information than the salesperson has spent 3 years learning. Dealers have access to real transaction data, verified comps, and floor plan rates. Buyers have KBB — which is funded by dealers.

We thought that was backwards. A $35,000 purchase deserves better than a sticker price comparison and a gut feeling.

CarGence gives you the same data layer that dealers have, plus AI trained specifically on automotive market dynamics, pricing patterns, and negotiation leverage points.

Our principles

Buyer's side only

We don't take money from dealers or manufacturers. Our only job is helping you get a better deal.

Real market data

Our price estimates come from live transaction data — not sticker prices or wishful thinking.

No upsells on inspections

We tell you to get an independent PPI. We don't sell warranties, GAP insurance, or anything else dealers profit from.

Transparent AI

When our AI gives you a recommendation, we show the reasoning. You're making a $30,000 decision — you deserve the full picture.

The team

🚗
Alex Reyes
Co-founder & CEO

Former automotive analyst at Cox Automotive with 10 years pricing cars for dealers. Built CarGence after watching a close friend overpay $8,000 on a used F-150.

💻
Jamie Chen
Co-founder & CTO

Ex-Google engineer specializing in real-time pricing systems. Has personally bought 14 cars in 8 years—she has spreadsheets for her spreadsheets.

📊
Marcus Webb
Head of Data

Former automotive market analyst who spent a decade building pricing models. He can tell you a car's real value within $300 just from the VIN.

Ready to buy smarter?

Join thousands of buyers who stopped overpaying and started negotiating from data.