Panta (YC W26) — AI native commercial insurance brokerage
Panta is a technology-enabled commercial insurance brokerage: we combine AI-powered internal workflows with licensed brokers to help businesses secure complex coverage faster than anyone in the world.
Panta is a Y Combinator company in the Winter 2026 batch. Its directory entry describes it as: AI Native Commercial Insurance Brokerage. The founders listed are Vincent Chen (Founder/CEO), Frank Wang (Founder/CTO) (Y Combinator directory entry, December 28, 2025).
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Panta is a technology-enabled commercial insurance brokerage: we combine AI-powered internal workflows with licensed brokers to help businesses secure complex coverage faster than anyone in the world.
Checked away from the directory entry. What is below does not come from the company's Y Combinator page.
Panta Insurance | Commercial Insurance for Construction, Logistics & Manufacturing
Industrial-strength commercial insurance for businesses that build the world. Compare options for general liability, commercial auto, workers comp, and more. Access to A-rated carrier options. Book a call with our expert brokers today.
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Vincent Chen
Founder/CEO
Founder @ Panta (W26). Building a commercial insurance brokerage run by AI agents.
Previously, I spent three years at Google building deep learning models and deploying agentic AI systems to billions of users (NotebookLM, Google Photos). I also built large-scale recommendation systems used by Fortune 500 companies like Disney.
Frank Wang
Founder/CTO
Founder at Panta (W26), building a commercial insurance brokerage powered by AI agents. Previously, he worked as a full-stack engineering contractor supporting Apple, where he built generative-AI and real-time systems. He contributes to the Gleam programming language and Rust's cargo-semver-checks, and earned an M.S. in Financial Engineering from UIUC with a 3.94 GPA and the Dr. Z. Ju Scholarship.
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One of 72 companies held here in Fintech › Insurance.
No investor is drawn from a Form D — the form states how many invested and never who. The one investor on this graph is named because a batch has exactly one.
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Example from a real report (our sample on Target): “Target eliminated approximately 1,800 corporate positions, with around 1,000 employees receiving layoff notices and the remainder accounted for by eliminating open roles.” Source: NBC News
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