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Torrey Data

Put your data to work.

We help AI companies and operators collect, modernize, and sell data across every vertical.

See what your data is worth

Across every vertical

  • Insurance
  • Field services
  • Financial services
  • Legal
  • B2B software
  • Logistics

What we do

Four ways we put data to work.

Whether you hold data, need it, or need it fixed, we handle the work end to end, from rights and structure to delivery.

  1. 01

    Sell data

    We assess what you hold, de-identify it, and license it to qualified buyers.

    Assess · De-identify · License

  2. 02

    Source data

    We find who generates the data you need, clear the rights, and structure the deal at the source.

    Find · Clear · Structure

  3. 03

    GTM pipelines

    Enriched accounts, buying signals, and CRM routing for revenue teams.

    Enrich · Signal · Route

  4. 04

    Modernize systems

    Legacy migrations, system consolidation, and automation that make data usable.

    Migrate · Consolidate · Automate

Data value estimator

What is your data worth?

Five questions for an indicative range. A real valuation looks at the records themselves.

Company size · employees
How unique is your data?
Apps you use3 selected

Insurance & risk tools

Estimate $150K to $400K per year. Data value score 65 out of 100.

Indicative annual license value

$150K – $400K

per year, across qualified buyers

Data value score65 / 100
Biggest lever
History. Recover and backfill archived records to extend the time series.
Likely buyers
Carriers, reinsurers, and insurtech underwriting teams
Data we could work with
  • Documents, email, and calendar activity
  • Internal communications
  • Customer and pipeline data
Get a real valuationRough illustration only, not an offer.

Industries

Same method, every vertical.

01 / 06

Insurance & risk

Underwriting and claims teams need ground-truth signals on properties, contractors, and losses. We source it from the operators who see it first.

Data we work with

  • Contractor job and inspection records
  • Property condition and repair histories
  • Claims-adjacent operational data
  • Loss and incident logs

Where it goes

  • Carrier underwriting models
  • Claims and fraud analytics
  • Reinsurance and risk modeling
  • Insurtech product teams

Example projects

The kind of work we take on.

Illustrative examples. Imagery and details are placeholders.

  • Data licensing

    Contractor job records, licensed to an insurer

    Years of field-service job history structured into a de-identified dataset and licensed to a carrier for underwriting.

    Data
    Job, invoice, and equipment records
    Delivery
    De-identified panel, recurring refresh
  • Modernization

    Legacy system migration and data audit

    An operator moved off an aging on-prem system, consolidated duplicate records, and learned what its data was worth.

    Data
    ERP, CRM, and spreadsheet archives
    Delivery
    Cloud warehouse and data inventory
  • GTM pipelines

    Signal pipeline for a B2B sales team

    An enriched account feed with buying signals, scored and routed straight into the team's CRM.

    Data
    Firmographics, hiring and tech signals
    Delivery
    Scored accounts, synced to CRM

How we operate

Principles we don't trade on.

  • Buy at the source

    We work directly with the companies that generate data, not resellers. Provenance is the product.

  • Rights before introductions

    Ownership, consent, and usage rights are confirmed before any buyer sees a sample.

  • Privacy by design

    De-identification and minimization are built into every dataset, not added at the end.

  • Vertical-agnostic

    Insurance to logistics, the method holds: find the signal, clear it, structure it.

Have data, need data, or need it cleaned up?

santiago@torreydata.comSan Diego, California