Beagle Labs

Beagle Labs is an AI-enhanced property intelligence platform for complex commercial insurance underwriting. It combines AI-driven analysis with a nationwide network of more than 7,000 verified field inspectors to give insurance carriers, MGAs/MGUs, program administrators and wholesale brokerages ground-truth property and liability data, turning in-field inspection orders around in 14 days or less where traditional physical inspections routinely take 30 days or more. Developed and rigorously tested over three years, the platform was brought to market in 2026 and is already used across commercial property and excess and surplus lines.

  • B2B
  • Pre-Seed
  • AI/ML
  • Insurtech
  • Property Management
  • Financial Services

1

Round

1

Industry

5

Tags

Sep 22, 2026

Latest raise

Funding activity · 1 round

Raise timeline

  1. Sep 22, 2026

    $4.1M

    Pre-Seed

    Led by Chingona Ventures

    • C2 Ventures
    • South Loop
    • Remarkable Ventures
    • Chingona Ventures
    • Sovereign's Capital
    • Red Bike Capital

    Article coming soon.

Pricing

Research Beagle Labs — then scale the playbook

Public hubs orient you on the raise. Paid plans unlock live AI adoption signals across your market.

Enterprise

Custom pricing for unlimited scale. Let's talk.

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Growth plan

For individuals and small teams getting started with AI buyer intelligence.

$149

/month

Features

  • Access to core AI adoption signals
  • 3–5 curated slices per week
  • 30–60 companies / week
  • AI Adoption Score
  • Deal-ready insights (why + pitch angle)
  • Basic filters (recency, slice, score)
  • CSV export
Most popular

Pro plan

For outbound teams and agencies that need more coverage and faster signal cadence.

$249

/month

Features

  • Everything in Growth, plus:
  • Full access to all slices
  • 60–120 companies / week
  • Higher-frequency signal updates
  • Priority / early signals (before Growth)
  • Advanced filters (industry, size, use case)
  • Deeper company insights
  • Faster export + bulk workflows

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