The New York insurtech has remained cash-flow positive for more than two years while building AI systems that automate complex commercial insurance workflows.
Kalepa has raised $75 million in a Series B led by Updata Partners at a $470 million valuation.
Existing investors IA Ventures and Inspired Capital also participated, bringing the New York-based company's total funding to $91 million.
The financing was announced November 5, following a year in which Kalepa says both revenue and customer count tripled.
The company has also remained cash-flow positive for more than two years, according to its own figures.
AI for the Insurance Industry
Kalepa develops what it calls Professional Grade AI, designed specifically for commercial insurance operations.
Insurance underwriters must evaluate large quantities of information before deciding whether to cover a risk and at what price.
That process can involve applications, financial statements, historical claims, industry data and specialized documentation.
Kalepa uses AI to analyze those materials and coordinate workflows from submission intake through risk assessment, pricing, quoting and portfolio management.
The objective is not simply to generate summaries, but to reduce the amount of repetitive work required before an underwriter can make a decision.
Enterprise Customers and Operating Results
Kalepa's customers include W. R. Berkley, Bowhead Specialty and AmRisc.
The company says the volume of work processed through its platform increased fourfold during the past year.
It also reports that insurers using its technology have achieved 30% to 60% more premium per underwriter and substantially faster quotation processes.
These results are company-reported customer outcomes and may vary by deployment.
The company was founded by Paul Monasterio, CEO, and Daniel Hillman, COO.
Its strategy combines insurance-specific machine learning with structured workflows that keep humans involved in decisions requiring professional judgment.
Why Investors Are Backing the Model
Commercial insurance remains a large market with complex processes and substantial administrative costs.
AI could improve productivity, but mistakes in pricing or risk assessment can have financial consequences lasting years.
That makes reliability, explainability and auditability central to the product.
Kalepa plans to use its latest financing to expand into additional insurance workflows and markets while doubling its headcount in 2027.
The company's growth presents a potentially important example of enterprise AI commercialization: a business selling AI for economically measurable workflows while reporting positive cash flow.
The next test is whether it can maintain those economics as it expands beyond its existing customer base.
Sources: Kalepa announcement · Reuters