$5 free Limited time. Sign up to activate. Get your $5 →

Train title-normalisation and company-matching models on structured profiles

Give an AI or data-tools team labelled examples to train models that normalise job titles into function and seniority and match messy company names to one company.

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

What it costs: Charged per request: credit pricing.

How the data flows

3 inputs → People data feed + Company data feed → 3 fields sample data
01 · Inputs
people feed
people-feed-2026-10-01.jsonl
company feed
company-feed-2026-10-01.jsonl
label taxonomy
linkedin.com/in/jane-example
02 · Forager
People data feed + Company data feed
Match found
03 · Outputs
Jane ExampleVP Revenue Operations · Example Inc.
labelled title examples
VP Revenue Operations
name
Jane Example
mobile
+1 (415) 555-0142
work email
jane@example.com
company
Example Inc.
3 fields in the responseexample data

Steps

  1. Load people_feed roles (role_title, organization_name, forager_organization_id) and company_feed (name, domain, linkedin_slug, industry)
  2. Build title examples labelled with the function and seniority mapping the team defines
  3. Build company-name pairs that resolve to the same forager_id for entity-resolution training
  4. Hold out a test set from a later delivery and track accuracy on each refresh

Inputs and outputs

InputsOutputs
people feedlabelled title examples
company feedcompany name match pairs
label taxonomyevaluation set

Questions about this recipe

Where can I get training data for a job title classifier?

This recipe uses Forager People data feed and Company data feed. People data feed: A licensed file of 800M+ professional profiles, refreshed on a schedule and delivered to Snowflake or S3. Give an AI or data-tools team labelled examples to train models that normalise job titles into function and seniority and match messy company names to one company.

What does it cost to train title-normalisation and company-matching models on structured profiles?

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 company feed, label taxonomy and people feed. You get back company name match pairs, evaluation set and labelled title examples, as JSON. You also need a Forager API key, which comes with a free account.

Which dataset helps train company name matching?

This recipe uses Forager People data feed and Company data feed. People data feed: A licensed file of 800M+ professional profiles, refreshed on a schedule and delivered to Snowflake or S3. Give an AI or data-tools team labelled examples to train models that normalise job titles into function and seniority and match messy company names to one company.

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 team builds or retrains a title classifier or an entity-resolution model. Models learn from real-world title and company variation instead of a hand-built sample.

Which Forager products does this recipe use?

People data feed and company data 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.

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: load people_feed roles (role_title, organization_name, forager_organization_id) and company_feed (name, domain, linkedin_slug, industry), build title examples labelled with the function and seniority mapping the team defines, build company-name pairs that resolve to the same forager_id for entity-resolution training and hold out a test set from a later delivery and track accuracy on each refresh.

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.

Can we show Forager data inside our product?

Yes, under platform terms. Self-serve plans cover internal use by your own team. Showing Forager data to your users, or passing records on, is licensed separately: talk to sales about volume and which fields your users need to see.

Start building

Put people, company and job data your users can act on inside your product

Send us a list. We run it, show you what we find, then talk volume and terms.

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