Score candidates by where they worked, not just what they did.

Resumes list company names, not whether those companies grew or shrank. Enrich every employer on a candidate's history with live headcount, funding, and revenue signals.

250+

250+

Company datapoints

Company datapoints

90+

90+

People datapoints

People datapoints

Batch

Batch

enrichment

enrichment

Resumes show where candidates worked, not whether those companies were growing or shrinking.

01

A VP of Sales at a company that shrank 40% is a different signal than a VP of Sales at a company that tripled.

The title is the same. The experience is not. One person managed a declining team through layoffs while the other scaled a go-to-market motion from 20 reps to 80. Resumes do not distinguish these.

02

Manual employer checks break at the third candidate.

03

Clients already know these signals. They expect you to, as well.

Your internal tools track the relationship and product usage, but nothing in your stack tracks the account itself.

01

A VP of Sales at a company that shrank 40% is a different signal than a VP of Sales at a company that tripled.

The title is the same. The experience is not. One person managed a declining team through layoffs while the other scaled a go-to-market motion from 20 reps to 80. Resumes do not distinguish these.

02

Manual employer checks break at the third candidate.

03

Clients already know these signals. They expect you to, as well.

Your internal tools track the relationship and product usage, but nothing in your stack tracks the account itself.

01

A VP of Sales at a company that shrank 40% is a different signal than a VP of Sales at a company that tripled.

The title is the same. The experience is not. One person managed a declining team through layoffs while the other scaled a go-to-market motion from 20 reps to 80. Resumes do not distinguish these.

02

Manual employer checks break at the third candidate.

03

Clients already know these signals. They expect you to, as well.

Your internal tools track the relationship and product usage, but nothing in your stack tracks the account itself.

What changes when you enrich every employer on every resume.

Today

With Crustdata

Resumes list company names and titles with no growth context

Resumes list company names and titles with no growth context

Enrich each employer with headcount trends, funding, and revenue for the years the candidate was there

Enrich each employer with headcount trends, funding, and revenue for the years the candidate was there

You manually check one or two employers and skip the rest

You manually check one or two employers and skip the rest

Batch-enrich all employers in one API call, 25 companies per request

Batch-enrich all employers in one API call, 25 companies per request

Clients reject candidates from shrinking companies without explaining why

Clients reject candidates from shrinking companies without explaining why

Flag employer trajectory before the shortlist reaches the client

Flag employer trajectory before the shortlist reaches the client

Two candidates with the same title look identical on paper

Compare the growth environment each candidate operated in

Enrich the employer behind every resume line

Pass a company domain or name. The API returns headcount history, funding rounds, revenue estimates, and growth rates for the period that matters.

growth_6m_percent and growth_12m_percent

timeseries

funding and revenue_estimate

1 credit per company. Batch up to 25 companies per request.

Get the full career with employer context in one call

Pass a profile URL. The API returns every employer with title, dates, and the company's trajectory during that period.

employer_headcount_growth

work_history with dates

Full profile in one API call

1 credit per profile.

Your next shortlist goes to the client with employer trajectory scores attached.

The client sees who built in growth and who managed through decline, before the first interview.

Free credits. No credit card.

Frequently Asked Questions

๐ŸŽ‰ We hit $10M ARR!

$600k to $10m in 1.5 years. Our entire GTM is powered by our own APIs.

Data

Delivery Methods

Use Cases

Solutions

Resources

Sign In

๐ŸŽ‰ We hit $10M ARR!

$600k to $10m in 1.5 years. Our entire GTM is powered by our own APIs.

Sign In

๐ŸŽ‰ We hit $10M ARR in 1.5 years!

Sign In