Senior Account Executive
Kalepa
Kalepa provides an AI-powered underwriting workbench for commercial and specialty insurers, automatically analyzing submissions and surfacing critical risk insights to enable faster, more profitable risk selection. The platform ingests and classifies data from hundreds of document types, embeds underwriting guidelines, and flags risks for human review when needed, mirroring medical decision-support systems.
- Insurance Technology
- Artificial Intelligence
- Software Only
- Data & Analytics
- Enterprise Software
Updated 3 days ago
Funding
Raised to date
$91MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 3 rounds
UP$75M · Series B
Announced Nov 2026
Disclosed cumulative: $91M
3/3
RoundDateAmountValuationInvestors
Founders
Product
Problem
Commercial and specialty insurance underwriters face challenges in efficiently processing submissions due to fragmented data spread across multiple systems and documents. This makes it difficult to quickly identify profitable risks and ensure adherence to underwriting guidelines. The result is wasted time on submissions that don't bind and inconsistent underwriting quality.
Solution
Kalepa's Copilot is an AI-powered underwriting workbench designed to consolidate critical information and insights for commercial and specialty insurers, enabling faster and more informed risk decisions. The platform uses AI to extract key insights from various sources, including submissions, loss runs, supplemental documents, web sources, and third-party data vendors, presenting underwriters with only the most important facts in one place. By baking in underwriting appetite and guidelines, Copilot helps insurers focus on submissions most likely to bind, ensuring consistent underwriting quality and adherence to portfolio objectives. The system is designed for rapid deployment, delivering verified value from day one without complex implementation processes. Kalepa's approach mirrors medical decision systems, incorporating redundancy, built-in constraints, human-in-the-loop escalation, continuous feedback loops, and graceful failure to handle ambiguous, high-stakes underwriting scenarios.
Target Audience
Kalepa targets commercial and specialty insurance carriers and managing general agents (MGAs) seeking to improve underwriting efficiency, consistency, and profitability.
Features
- AI-powered interface that identifies risks most likely to bind and aligns them to appetite and guidelines
- Automated submission ingestion and classification across hundreds of document types, from standard ACORDs and SOVs to complex loss runs and supplemental applications
- Clearance workflows that detect conflicts, verify completeness, conduct sanctions screening, confirm appointed producers, and route submissions in streamlined or automated processes
- Single-pane-of-glass risk analysis view that automatically focuses on the risk factors that matter most, including exposures, controls, terms, and communications
- Embedded business rules, regulatory constraints, and underwriting guidelines to ensure recommendations stay consistent and compliant
- Continuous feedback loops that improve the system based on real-world usage and provide portfolio analysis tools for identifying product, rate, and appetite opportunities
- Graceful failure design that flags uncertainty, highlights risk, and routes cases to human review when needed