Panta is an AI-native commercial insurance brokerage that pairs AI-powered internal workflows with licensed human brokers to help businesses secure complex coverage faster. The platform automates the labor-intensive parts of the brokerage process while keeping licensed experts in the loop for advice and placement. It targets businesses that need to navigate complicated commercial insurance products more efficiently. Panta is part of Y Combinator's Winter 2026 batch.
Panta
ActiveAI Native Commercial Insurance Brokerage
Total raised
$500K
1 round
Stage
Seed
Jan 2026
Team
1-10
since 2026
Pricing
—
Founded
2026
San Francisco, United States
Agent-ready
—
AI-native commercial insurance brokerage
AI-powered internal workflows to streamline brokering
Licensed human brokers kept in the loop for advice and placement
Automation of labor-intensive brokerage tasks
Focus on complex commercial coverage
Faster path to securing coverage for businesses
Combines software efficiency with expert human judgment
Targets businesses navigating complicated insurance products
12/100
Early
MCP server
Public API
Webhooks
OAuth 2.0
SDKs
No public agent surfaces detected yet.
Jan 2026 Seed $500K ● Y Combinator
Capital network
$500K raised ·1 backer·10 network links
- Backers1
- Shared portfoliocompanies these backers also fund
- Extended networkfunds that co-invest alongside them
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- Is Panta a software tool or a brokerage?
- It is an AI-native commercial insurance brokerage. It uses AI-powered internal workflows but keeps licensed human brokers in the loop for advice and placement.
- What does Panta automate?
- It automates the labor-intensive parts of the brokerage process, helping businesses secure complex commercial coverage faster while brokers handle expert guidance.
- Who is Panta for?
- Businesses that need to navigate complicated commercial insurance products more efficiently than the traditional brokerage process allows.
- Are licensed brokers still involved?
- Yes. Panta pairs its AI workflows with licensed human brokers who provide advice and handle placement, rather than fully automating the process.
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