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Benchmark AI talent density and hiring across an industry

Publish an index of AI capability by company (e.g. banks) from talent counts, moves and hiring.

  • Free API key
  • No credit card
  • Run your sample

A selection of teams that run this job on Forager · plus other teams on Forager

  • Clay
  • Juicebox
  • QuruAI
  • Andela
  • Evident
  • SeekOut
  • Chamaeleon
  • DealSource

What it costs: Charged per request: credit pricing.

How the data flows

3 inputs → People data feed + Company data feed + Job postings feed → 4 fields sample data
01 · Inputs
Company
Example Insights
Title
Head of Research
feeds
linkedin.com/in/jane-example
02 · Forager
People data feed + Company data feed + Job postings feed
Match found
03 · Outputs
Jane ExampleHead of Research · Example Insights
ai hiring velocity
San Francisco, CA
name
Jane Example
title
Head of Research
mobile
+1 (415) 555-0142
work email
jane@exampleinsights.example
company
Example Insights
4 fields in the responseexample data

Steps

  1. Classify AI roles in people_feed by title and skills
  2. Compute AI talent per company normalised by headcount from company_feed
  3. Add AI hiring velocity and talent moves from job_postings_feed and people_feed changes
  4. Publish ranked benchmarks and competitor deltas

Inputs and outputs

InputsOutputs
company universeAI talent density
AI role taxonomyAI hiring velocity
feedstalent inflow/outflow
index rank

Questions about this recipe

How can I measure how much AI talent a company has compared with peers?

Compute AI talent per company normalised by headcount from company_feed. Add AI hiring velocity and talent moves from job_postings_feed and people_feed changes.

What does it cost to benchmark AI talent density and hiring across an industry?

People data feed is a flat annual licence, global or regional, not priced in credits. Self-serve plans are Starter, Growth, Pro and Scale. See plans and prices

What do I need to run this recipe, and what comes back?

You send AI role taxonomy, company universe and feeds. You get back AI hiring velocity, AI talent density, index rank and talent inflow/outflow, as JSON. You also need a Forager API key, which comes with a free account.

What data shows which banks are hiring the most AI talent?

You send company universe, AI role taxonomy and feeds. You get back AI talent density, AI hiring velocity, talent inflow/outflow and index rank. Bank and enterprise AI leaders see where they lag peers and strategy teams spot competitor AI investment early.

Is there a free way to try Forager on this workflow?

Yes. Request a sample extract of the people data feed on a 30-minute call and check the fields against your own records before you license it.

When should I run this workflow?

When a research firm updates its quarterly AI-readiness index. Bank and enterprise AI leaders see where they lag peers and strategy teams spot competitor AI investment early.

Which Forager products does this recipe use?

People data feed, company data feed and job postings feed. People data feed: a licensed file of 800M+ professional profiles, refreshed on a schedule and delivered to Snowflake or S3. Company data feed: a licensed file of 65M+ company profiles and firmographics, delivered to Snowflake or S3 on a schedule.

How accurate is Forager data?

The test that counts is your own: send a list of profiles you care about. We run it and show you what we find, number by number, so you can measure hit rate and connect rate yourself.

How do I track competitor AI hiring?

Add AI hiring velocity and talent moves from job_postings_feed and people_feed changes. Publish ranked benchmarks and competitor deltas.

Which tools can run this workflow?

Delivered as a data share to Snowflake, Databricks and Amazon S3. Or call the endpoints in the steps above from your own code with one API key.

How many steps is this workflow?

4 steps: classify AI roles in people_feed by title and skills, compute AI talent per company normalised by headcount from company_feed, add AI hiring velocity and talent moves from job_postings_feed and people_feed changes and publish ranked benchmarks and competitor deltas.

Is there a contract or minimum commitment?

Data feeds are licensed on an annual agreement, with the term, volume and refresh schedule written into it. There are no self-serve plans for feeds.

A selection of teams that run this job on Forager · plus other teams on Forager

  • Clay
    • GTM workflow builders

    Selected use case: Forager mobile numbers, emails and people data inside Clay tables.

  • Juicebox
    • AI candidate sourcing

    Selected use case: Forager data behind its PeopleGPT search and sourcing agents.

  • QuruAI
    • VC & PE research

    Expert-research platform that matches a research thesis to operators and practitioners for AI-led interviews.

  • Andela
    • Customer

    Selected use case: Forager data for the go-to-market team at a global talent marketplace.

  • Evident
    • Market intelligence

    Publisher of the Evident AI Index, which ranks banks, insurers and payments firms on AI maturity.

  • SeekOut
    • Talent intelligence

    Selected use case: Forager’s people data feed, used to keep candidate profiles current.

    2–3 years on the Forager people data feed, by SeekOut’s own account1

  • Chamaeleon
    • VC & PE research

    Early-stage venture firm that analyses companies with its own AI and quantitative engine.

  • DealSource
    • VC & PE research

    Selected use case: company and people data for private-company profiles.

Sources

1 SeekOut: SeekOut, customer interview, Sep 2026.

Start building

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  • $5 free credits
  • No credit card
  • Run your sample
Platforms and teams that build on Forager
  • Clay
  • Juicebox
  • Nooks
  • Andela
  • HubSpot
  • SeekOut