Kalepa, the New York-based AI platform for commercial insurance underwriting, has raised $75 million in Series B funding at a $470 million valuation—five years after its Series A. The round was led by Updata Partners, with returning investors IA Ventures and Inspired Capital, which led the 2021 Series A, also participating . The company has now raised $91 million in total.
The funding comes as Kalepa reports it has been cash-flow positive for over two years. The company operates in more than 10 countries, serving insurers, MGAs, reinsurers, and program administrators with software for underwriting, pricing, and portfolio decisions.
Kalepa Funding Overview By CREDX Media
| Startup Name | Kalepa |
| Founders | Paul Monasterio, Daniel Hillman |
| Founded | 2018 |
| HQ | New York, USA |
| Round | Series B Funding |
| Amount Raised | $75M |
| Valuation | $470M |
| Category | Insurtech, AI Underwriting, Enterprise Software |
| Lead Investor | Updata Partners |
| Key Investors | IA Ventures, Inspired Capital, Penny Pritzker, Henry Ward, Jacqueline Reses, Gokul Rajaram |
| Total Funding Raised | $91M |
| Cash Flow | Positive for 2+ years |
| Markets | 10+ countries |
| Key Metrics | 58% higher premium per underwriter, 30-60% faster quotes, 960 b.p. combined ratio improvement |
💡 Use of Funds
- AI Product Expansion: Broadening the platform’s Professional Grade AI capabilities.
- New Markets: Entering additional geographies beyond the current 10+ countries.
- Team Growth: Doubling headcount by 2027.
Startup Overview: Kalepa
What Kalepa Is Building in Simple Words
Kalepa has built an AI platform that manages and coordinates the entire commercial insurance underwriting operation—from underwriting and pricing through portfolio management. The key distinction: the AI does the work, but humans sign off on decisions that require their expertise or approval.
- Task-Specific Autonomy: The platform’s autonomy level is based on the complexity and risk of the task at hand. People are brought in when their expertise or approval is required, and everything is traceable and auditable.
- Unified Workspace: When an underwriter receives a submission from a broker, Kalepa brings all research, data, and guidelines together in one place and flags any information gaps.
- Multi-Step Agents: Dedicated software orients the AI agents to carry out multi-step tasks across the underwriting workflow.
Why Kalepa Matters
- Measurable impact on underwriting economics: Insurers using Kalepa report 58% higher premium per underwriter, quotes delivered 30-60% faster, and a combined ratio improvement of 960 basis points—a 9.6 percentage point reduction in the proportion of premium spent on claims and expenses.
- Cash-flow positive for two years: Kalepa didn’t need to raise. It raised to accelerate. That discipline is rare in insurtech and signals a durable business model.
- The market is growing: Technavio expects AI in the insurance market to grow by $30.07 billion between 2024 and 2029.
- Strategic angel backing: Kalepa’s backers include former US Commerce Secretary Penny Pritzker, Carta CEO Henry Ward, Lead Bank CEO Jacqueline Reses, and Gokul Rajaram, who sits on the boards of Coinbase, Pinterest, and The Trade Desk.
Founder Background: The Nuclear Scientist Who Took an Outsider’s View of Insurance
Paul Monasterio(CEO) has a PhD in nuclear science and engineering from MIT. Before founding Kalepa, he worked at Applied Predictive Technologies, which Mastercard acquired for $600 million in 2015, then at Mastercard and Facebook.
Daniel Hillman worked through the sales ranks at the same analytics firm and at Mastercard.
Monasterio’s “outsider” perspective is, he argues, an advantage—but he also recognizes the value of industry expertise. Kalepa’s demos have no slides; instead, they invite prospects to “send us a risk that’s just come to your desk” .
Founder Intelligence: What Founders Can Learn from Kalepa
- Cash flow is leverage: Kalepa waited five years between rounds because it could. When you don’t need capital to survive, you can choose your investors and your valuation on your own terms.
- Position AI as professional-grade, not autonomous: Monasterio’s framing is deliberate: “Insurance runs on the judgment of experienced professionals, and our Professional Grade AI is held to that same standard.” Positioning AI as augmenting expertise rather than replacing it builds trust with conservative buyers.
- Outsider perspective can be an advantage: Monasterio came from nuclear science and analytics, not insurance. That distance allowed him to see inefficiencies insiders had normalized.
- Demos that prove value: Inviting prospects to send a live risk and showing how the platform handles it is more convincing than any slide deck.
Investor Intelligence: Why This Round Gets Premium Capital
Updata Partners, a growth equity firm based in Washington, DC, led the round. Updata previously led CData’s $140 million Series B in 2021 and Nerdio’s $117 million Series B in 2022, with a track record of backing capital-efficient software businesses.
IA Ventures and Inspired Capital returned after leading the 2021 Series A, signaling continued conviction.
The angel roster is strategically significant: Penny Pritzker, Henry Ward, Jacqueline Reses, and Gokul Rajaram bring credibility and networks in government, fintech, and enterprise software. Their participation signals that operators who understand regulated industries see Kalepa as a credible long-term platform.
The Road Ahead for Kalepa
Expansion Targets
With $75 million in capital, Kalepa will:
- Expand its AI product offering, deepening Professional Grade AI capabilities.
- Enter new markets beyond its current 10+ countries.
- Double its team by 2027.
The Competitive Question
Kalepa operates in a crowded field of underwriting AI:
- Sixfold argues it handles underwriting end-to-end.
- Kalepa takes a different view: autonomy should be task-specific.
As the analysis noted, if competitors can show that AI agents can underwrite with less supervision, carriers may not keep paying for Kalepa’s model . The company’s bet is that insurers will continue to value human oversight and an audit trail at every stage.
Conclusion
Kalepa’s $75 million Series B at a $470 million valuation validates the thesis that AI in insurance should augment professional judgment, not replace it. The company’s cash-flow-positive business, measurable underwriting improvements, and strategic investor roster position it as a durable player in a market projected to grow by $30 billion.
Market tailwinds favor Kalepa: rising insurer demand for efficiency, the complexity of commercial underwriting, and the value of auditable AI decisions in regulated industries. The company’s task-specific autonomy model and two years of cash-flow positivity give it leverage that most insurtech startups lack.
For deep analysis of insurtech funding, AI underwriting innovation, and companies reshaping commercial insurance, explore CREDX Media for comprehensive coverage of startup funding trends, valuation intelligence, and founder playbooks.
Want the latest funding news and market insights delivered straight to your inbox? Subscribe to CredX Letters for verified deal terms, valuation benchmarks, and daily macro signals.
Frequently Asked Questions
1. What is Kalepa’s total funding and latest round size?
Kalepa has raised $91 million** in total. Its **$75 million Series B was led by Updata Partners in November 2026.
2. How much did Kalepa raise in its Series B round and who led the investment?
Kalepa raised $75 million led by Updata Partners, with participation from IA Ventures, Inspired Capital, and angels including Penny Pritzker, Henry Ward, Jacqueline Reses, and Gokul Rajaram.
3. What is the valuation of Kalepa?
Kalepa is valued at $470 million following its Series B.
4. Who are the major investors in Kalepa?
Major investors include Updata Partners (lead), IA Ventures, Inspired Capital, and a roster of strategic angels.
5. Who are Kalepa’s founders?
Kalepa was founded in 2018 by Paul Monasterio (CEO) and Daniel Hillman. Monasterio holds a PhD in nuclear science from MIT and previously worked at Applied Predictive Technologies.
6. What is Kalepa’s business model?
Kalepa operates a B2B SaaS model, selling its AI underwriting platform to insurers, MGAs, reinsurers, and program administrators on a subscription basis.
7. How does Kalepa’s platform work?
Kalepa’s AI agents coordinate multi-step underwriting tasks with autonomy based on complexity and risk. Humans are brought in when expertise or approval is required, and everything is traceable and auditable.
8. What traction justifies Kalepa’s $470 million valuation?
Kalepa has been cash-flow positive for over two years, operates in 10+ countries, and reports 58% higher premium per underwriter, 30-60% faster quotes, and 960 b.p. combined ratio improvement for customers.
9. What are Kalepa’s plans for the $75 million Series B capital?
Kalepa will expand its AI product offering, enter new markets, and double its team by 2027.
10. Who is the CEO of Kalepa?
Paul Monasterio serves as CEO and co-founder. He has a PhD in nuclear science and engineering from MIT.


Join the Discussion
No comments on this briefing yet
Join the conversation above. Share your thesis, legal nuance, or empirical observations.