Find candidates your
ATS misses.
JobMatch ranks every candidate on the traits that predict performance in your team. Explainable scores. Interview guides on tap. No more 600-CV piles for one open seat.
From sourcing
to offer, in one place.
Profile your team, get ranked applicants, manage your pipeline, and hire with AI assistance, all from one platform.
Profile your team
Onboard your top performers. JobMatch learns what makes your team distinct, the traits and working styles that predict who'll stick and ship.
Get ranked, scored applicants
Every candidate is scored against your team's personality and skills profile. See why each one ranks where they do, with full transparency.
Manage your pipeline
Move candidates through Kanban stages: Applied, Screening, Interview, Offer. Drag and drop, score, and collaborate with your team.
Hire with AI assistance
AI agents handle screening, scheduling, and follow-ups. Configure your hiring stack with natural language via MCP integration.
Match on
embedding-level fit.
Job embeddings are compared against personality embeddings, not just keyword overlap. The system understands which candidate will thrive in your team's culture.
Visual pipeline
management.
Drag candidates through stages, score them at each step, and keep your hiring team aligned, all on one Kanban board.
Collaborative
hiring team.
Invite team members, assign roles, and gather structured feedback on every candidate, no more Slack threads and spreadsheets.
Role-based access for reviewers, interviewers, hiring managers
Structured scorecards per team member
Team-level calibration meetings
AI agents
via MCP.
Configure AI agents to automate your hiring workflow: screening, scheduling, candidate Q&A, and follow-ups. All through a standard protocol.
Screening Agent: auto-asks qualifying questions
Scheduling Agent: coordinates interviews across calendars
Q&A Agent: answers candidate questions about the role
Follow-up Agent: sends updates and gathers feedback
No black box.
Every number, accountable.
Each score is a sum of weighted dimensions. Tap any factor to see the underlying signal, and the source data, for full transparency.
Powerful models, kept honest.
Reading psychological signal from language is powerful and dangerous in equal measure. So fairness isn't a feature here, it's a standing obligation, audited on a schedule.
Confounds normalized
Language signal is corrected for education level and gender-correlated style before it's allowed to move a score. We measure how you work, not how you were taught to write.
Audited on a schedule
Disparate impact across groups is checked continuously, not on request. A failing ratio is an alarm that pages a human, never a log line.
Explainable to you
If we can't explain a score to the person it describes, we don't show it. Candidates can audit every factor of their own profile, including the data it came from.