Tesora is a Y Combinator S25 startup building frontier AI for actuaries and AI-native software for insurance underwriting and actuarial workflows. Its agents serve P&C carriers, reinsurers, and MGAs by ingesting loss data and automating rater development with audit trails and compliance reviews, eliminating spreadsheet and email bottlenecks. The company forward-deploys into carriers and MGAs to connect disparate systems and encode expert workflows. Tesora is based in San Francisco and was founded in 2025.
Tesora
ActiveFrontier AI for Actuaries
Total raised
$500K
1 round
Stage
Seed
Jan 2025
Team
1-10
since 2025
Pricing
—
Founded
2025
San Francisco, United States
Agent-ready
—
AI-native software for insurance actuaries and underwriters
Automates rater development workflows
Ingests loss data to support actuarial analysis
Built-in audit trails for changes and decisions
Automated compliance reviews
Serves P&C carriers, reinsurers, and MGAs
Forward-deployed integration across disparate carrier systems
Encodes expert actuarial and underwriting workflows
12/100
Early
MCP server
Public API
Webhooks
OAuth 2.0
SDKs
No public agent surfaces detected yet.
Jan 2025 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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- What does Tesora build?
- Tesora builds AI-native software for insurance actuaries and underwriters that ingests loss data and automates rater development with audit trails and compliance reviews.
- Who does Tesora serve?
- It serves property and casualty carriers, reinsurers, and MGAs, forward-deploying into carriers to connect disparate systems and encode expert workflows.
- How does Tesora support compliance?
- It includes audit trails and automated compliance reviews, which matter in the heavily regulated insurance industry where filings must be traceable.
- What problem does Tesora solve?
- It eliminates spreadsheet and email bottlenecks in actuarial and underwriting workflows by automating rater development and centralizing data and reviews.
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