For · Headhunters / RPO / recruiting service providers
Same team, double the placements
Built for the trade — extreme efficiency, professional tooling.
Screening cost ↓75%50% time savedChannel cost ↓40%
Capacity model
One consultant + one AI engine = a delivery team
AI parallelises the time-sinks — sourcing, screening, outreach — so consultants only judge and close. Same headcount, several times the roles in flight.
1 consultant
Judgement & closing only
+
AI engine · in parallel
Talent search
NL sourcing at scale
Parsing
Instant structured screening
Recruiting Agent
Bulk outreach & follow-up
Matching
Auto-rank best fit
⇉
N roles in flightOutput / head ×N
Java Architect
Head of Product
ML Engineer
Data Analyst
Frontend Engineer
Product Designer
Sales Director
Marketing Manager
Finance BP
HR Business Partner
The challenge
For headhunters and RPO, efficiency is everything — capacity is revenue.
Scenario
Scaling by headcount
Adding consultants adds cost, not placements.
Scenario
Screening eats the day
Screening devours the day; there’s no time left to close.
PainTodayCost
Slow screeningConsultants read resumes by handTime lost on junk resumes
Public-cloud SaaS or private deployment with in-domain data; open APIs and a dedicated account manager.
Public cloud SaaSPrivate deployment
* Figures shown are illustrative and will be replaced with measured or industry-benchmark data before launch; customer-story placeholders are pending real cases.