HR is buried under hundreds of CVs a day

AI screening that scores candidates and schedules the good ones.

Parse, score and route resumes automatically — and let recruiters spend their time on people, not PDFs.

Talk to us about this See: AI Coworkers

Signs this is your problem

You will recognise yourself in at least one of these

Recruiters spend more time opening attachments than talking to candidates.
Strong CVs slip through the cracks during high-volume periods.
Each new role requires re-tuning manual screening criteria.
Your ATS does keyword search but not real evaluation.

Why it happens

The root cause, in plain language

Resume parsing is hard and varied. Without an AI layer that understands context, screening defaults to keywords — which both misses good candidates and lets weak ones through.

Our approach

How we actually fix this

1
Build a workflow that parses CV attachments regardless of format (PDF, DOCX, scans).
2
Use AI to score candidates against the job description with rationale, not just keywords.
3
Auto-schedule initial interviews for top matches via the recruiter's calendar.
4
Maintain integrations with whatever ATS the client already uses.

What you can expect

Outcomes our clients see

Top candidates booked into interviews within minutes of applying.
AI parsing adapts to new and unusual resume formats.
Server capacity scales dynamically during major hiring spikes.

Case study

HR — AI candidate screening

Processing hundreds of inbound resumes daily is exhausting. We built a workflow that parses attachments, uses AI to score candidates against job descriptions, and automates initial interview scheduling for top matches.

See more of our work →