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Kalepa

https://kalepa.com Research Team Data
Active

AI underwriting platform for commercial insurance that analyzes submissions and surfaces risk insights for faster, more profitable underwriting.

Kalepa’s platform analyzes underwriting submissions, risk data and supporting documents to identify critical risk signals and help underwriters focus on the highest-ROI opportunities across commercial insurance lines.

Positioning

Professional-grade AI for profitable underwriting

Key facts

HQ location
New York, NY, USA
Founded
2018
Employee range
51-200 (51-200)
Funding stage
Series A
Company type
Private (Private)
Pricing model
Custom Quote Subscription (Quote-based enterprise SaaS)
Last updated
Jun 21, 2026

Revenue estimate

Unknown / not publicly disclosed

Valuation estimate

Unknown

Investments

$14M Series A led by Inspired Capital; total funding not fully disclosed in current public sources

Target customers

Commercial insurers, specialty insurers, E&S carriers and underwriting teams

Key competitors

Cytora, Gradient AI, Federato, hyperexponential, Convr

Known customers

James River Insurance, Hinterland Insurance; company cites top-tier insurers

Classification (raw research text)

Core focus
Insurance underwriting AI
Core industry
Insurance
Core category
AI underwriting platform

Shown verbatim from the research spreadsheet — deriving structured segment/industry tags from this text is a future phase.

Attribute breakdown

  • AI Workflows Secondary feature
  • AI Automation / Business Process Automation Secondary feature
  • Agent Builder / Agent Configuration Secondary feature
  • System / API Integration Secondary feature
  • AI / LLM Data Pipeline Secondary feature
  • Document AI / Document Processing Secondary feature
  • Traditional Machine Learning Primary focus
  • AI Security / Guardrails Secondary feature
  • Data Privacy / PII / Confidential AI Secondary feature
  • Human-in-the-Loop Review / Feedback Secondary feature
  • Analytics / BI / Decision Intelligence Primary focus
  • Enterprise App / Internal Tool Builder Secondary feature
  • Vertical-Specific AI Primary focus
Show all 32 attributes
  • AI Workflows Secondary feature
  • AI Automation / Business Process Automation Secondary feature
  • AI Fine-tuning / Custom Model Training Not emphasized
  • Agent Builder / Agent Configuration Secondary feature
  • Multi-agent Orchestration / Runtime Not emphasized
  • System / API Integration Secondary feature
  • Prompt Management / Prompt Engineering Not emphasized
  • Retrieval-Augmented Generation Not emphasized
  • Graph RAG / Knowledge Graph Retrieval Not emphasized
  • Enterprise Search / Knowledge Management Not emphasized
  • AI / LLM Data Pipeline Secondary feature
  • Document AI / Document Processing Secondary feature
  • Model Deployment / Inference Infrastructure Not emphasized
  • Traditional Machine Learning Primary focus
  • AI Quality Assurance / LLM Evaluation Not emphasized
  • AI Observability / Monitoring Not emphasized
  • AI Security / Guardrails Secondary feature
  • Data Privacy / PII / Confidential AI Secondary feature
  • AI Governance / Policy Management Not emphasized
  • AI Risk / Compliance Not emphasized
  • AI Asset Inventory / Model Registry Not emphasized
  • Human-in-the-Loop Review / Feedback Secondary feature
  • Call Transcription / Speech-to-Text Data Capture Not emphasized
  • Conversation Intelligence / Speech Analytics Not emphasized
  • Text Chatbots / Conversational Assistants Not emphasized
  • Voice AI Agents Not emphasized
  • Voice Infrastructure / STT / TTS Not emphasized
  • AI for Customer Experience / Support Automation Not emphasized
  • Sales / Revenue Intelligence Not emphasized
  • Analytics / BI / Decision Intelligence Primary focus
  • Enterprise App / Internal Tool Builder Secondary feature
  • Vertical-Specific AI Primary focus