Loss & Claims Database

Every space insurance loss. Structured.

The first rigorous historical dataset of space insurance losses — total and partial losses, claim outcomes, and rate movements — compiled from public sources and sold by subscription.

Abstract rendered loop for Loss & Claims Database

Every fragment of loss history, indexed and scanned.

The market has no memory. We built one.

01

No Bloomberg for space

Loss history lives in brokers' heads, conference hallways, and scattered press releases. When the people retire, the record retires with them.

02

Compiled the hard way

We reconstruct each loss event from filings, disclosures, launch records, and press archives, then normalize outcomes, quantum, and rate response into one schema. It is tedious work — which is exactly why it hasn't been done, and why it's defensible.

03

Queryable, citable, current

Total and partial losses, claim outcomes, litigation flags, and post-loss rate movements — searchable by asset class, orbit, manufacturer, and policy year. Updated as events develop.

Who it's for

For anyone pricing against history.

Underwriters & reinsurers

Benchmark a submission against every comparable loss on record — not the three someone at the desk happens to remember.

Analysts & researchers

Cite a structured source instead of “market sources say.” Track how rates actually responded to loss events across cycles.

ILS investors

Diligence a market you're entering with the loss record it never published.

Subscriptions

License the record.

Annual subscriptions, scoped to how your team uses the data.

Analyst

Single seat

Full query access for one named user.

  • Complete loss and claims record
  • Rate-movement time series
  • Quarterly data notes
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Desk

Team license

Shared access for an underwriting, broking, or research team.

  • Up to ten named users
  • CSV and API export
  • Event alerts as losses develop
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Enterprise

Custom

Firm-wide access with integration support.

  • Unlimited users
  • Data-warehouse delivery
  • Custom historical research
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Underwrite with the whole record.

Request a sample extract and review the schema before you subscribe.