IAM Podcast for Startups · Stories of innovators, startup founders and entrepreneurs around the world

Visual Intelligence AI Powered Vehicle Inspection Startup's Journey | Dmitry Geyzersky, CTO Click-ins

·39 min·2 clips

Dmitry describes a "damage print" that uniquely identifies vehicle damage across images and cameras.

1. IAM Podcast for Startups centers on Click-ins and Dmitry Gazersky's path from insurance fraud to automated vehicle inspections. 2. Mariah hosts the interview, and Dmitry Gazersky is introduced as CTO and co-founder of Click-ins, which matters because he describes both the technology and the company decisions. 3. The episode asks how a deep-tech startup moved from a hard-to-sell insurance product to a commercially deployed SaaS platform for automotive inspections. 4. Dmitry says the company began in 2014 with insurance fraud as the original problem and combined his intelligence background with his partner's insurance background. 5. He explains that the first target was automotive insurance, but sales cycles in insurance companies often took more than a year to integrate. 6. He says Click-ins later expanded into automotive companies, car rentals, car sharing, and dealerships because the same visual intelligence stack fit those verticals. 7. Dmitry describes the early system as a working prototype or "technology preview," not a polished product. 8. He lists the prototype components as linked analysis, OCR for insurance documents, an OSINT crawler, and photogrammetry. 9. He says the photogrammetry work became the basis for a patent concept around a "damage print" that could identify damages like fingerprints identify humans. 10. He says that damage-print approach is still used today to compare a vehicle at pickup and drop-off and detect new damage. 11. Dmitry says Click-ins became commercially deployed and now serves mostly automotive customers, while also keeping some insurance companies onboard. 12. He says the business model changed because raising funds for a large insurance-first vision required too much money and too many resources. 13. He says investors in early rounds included a group he calls the "billion dollar club," made up of people who had sold companies for more than a billion dollars. 14. He says one major lesson from the previous failed startup was that founders need explicit legal roles and vesting from the start. 15. He warns that equal splits among friends can become hard to defend when one founder works 24 by 7 and another is inactive. 16. He says academics can create another risk because they may prioritize publishing over company IP, leaving "zero IP" for the startup. 17. The interview style is direct and technical, with Mariah pressing on funding, founder transitions, and lessons from failure. 18. Dmitry's tone is candid and pragmatic, and he repeatedly frames startup choices as tradeoffs between speed, control, and survival. 19. People interested in deep-tech startups, founder structure, and automotive AI inspections would likely benefit from this episode. 20. People looking for light startup anecdotes or abstract motivation may skip it.

As heard by us

A direct founder conversation about product focus, leadership change, investor trust, and the rules that keep a startup from coming apart.

The review follows a founder story that moves from technical focus to a harder lesson about leadership. Product work mattered, but it was not enough on its own.

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Why you'd press play

Hear how a deep-tech startup earned investor trust after a founder reset.

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