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Leaf

leaf.dk is an AI-driven insurance oversight platform that continuously monitors a company's entire insurance portfolio, automatically detecting coverage gaps, underinsurance risks, and claims that need attention. The platform analyzes policy documents, market submissions, and operational data to provide actionable recommendations, such as flagging that a newly acquired site was never added to the property program or that product liability limits are insufficient for US exposure.

Copenhagen, Denmark · HQ
Founded 2023231K+ followers
Updated 4 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Companies often lack a comprehensive, real-time view of their insurance programs, leading to unnoticed coverage gaps, underinsured assets, and missed claims obligations. Manual policy reviews are infrequent and reactive, leaving organizations exposed to significant financial and operational risks between renewal cycles.

Solution

leaf.dk provides a continuous insurance oversight platform that automatically ingests policy documents, market submissions, and operational data to monitor coverage against actual exposure. The system tracks insured values against limits, flags missing or inadequate coverages, and identifies claims that require attention, all through an intuitive dashboard. It benchmarks premiums against sector bands and quantifies underinsurance risk based on historical trends, such as projecting when limits will fall short of rising asset values. The platform also automates claims documentation by pulling relevant records and drafting loss narratives, reducing manual effort and ensuring timely reporting.

Target Audience

Primary users are mid-to-large enterprises with complex, multi-line insurance programs, particularly those with international operations, recent acquisitions, or significant property and liability exposures.

Features

  • Automated ingestion and analysis of policy documents, customer contracts, and insurer submissions to identify coverage gaps and wording issues
  • Real-time tracking of insured values against limits with trend-based underinsurance projections
  • Benchmarking of premiums against sector-specific bands to highlight when coverage is likely thin
  • Claims monitoring that automatically detects reportable incidents, pulls supporting documentation, and drafts loss narratives for adjuster sign-off
  • Renewal management that tracks market quotes, flags declined coverages, and schedules next-round negotiations
  • Compliance checks for regulatory frameworks such as NIS2 and local admission requirements
This profile is AI-generated and may contain inaccuracies.