Every resume. One map of your market.
Format resumes to any state template, rank them against a job, and see where the talent works — all from the resumes your team already handles.
Normalization
Every skill, understood the same way.
“k8s”, “Kubernetes” and “K8S cluster admin” count as one skill. That is what makes a search for Kubernetes engineers return all of them.
- Titles
- mapped to standard families
- Employers
- spellings joined into one
- Skills
- in one spelling, never dropped
Platform
Everything the submittal desk runs on.
One extraction per resume. Formatting, matching and the talent map all read from it.
Talent heat map
Every resume becomes a point at its employer. See the pockets of talent, rank the companies near you, and open the people behind them.
Explore the heat mapRanked with reasons
Paste a job. Every resume scored, with the skills that matched and the ones missing.
Clean data, automatically
Spellings of one employer become one company. Titles and skills are normalized.
JPMC
JPMorgan Chase
Any resume in, the agency’s template out
Checked against the source word for word, then set to Ohio, Pennsylvania, Georgia or Oceanblue.
How formatting worksPrivate by design
Files are read in memory, the map keeps no contact details, and your organisation sees only its own data.
Security details- 20+
- resume sections, word for word
- 4
- state templates, built in
- 0–100
- fit score, with reasons
- 1
- table for every extraction
How it works
One extraction. Every product.
- 1
Add resumes
PDF, Word or text — uploaded here, applied on the website, or sent for matching.
- 2
Extracted once
Every section read word for word and saved to one table.
- 3
Checked
Every line matched back to the source. Gaps are flagged.
- 4
Reviewed
A full editor sits between extraction and export.
- 5
Used everywhere
Export the template, rank against a job, see the map.
Talent heat map
Built for recruiters and for sales.
The same map answers two questions: where the talent is, and which companies to call.
Find the pockets of talent you need, then open the people behind them.
- Where are the densest pockets of Java developers within 50 miles of our office?
- Which employers hold the most data engineers with Snowflake?
- Which of these candidates are already in our files?