Maya Chen · Product Engineer
- 0→1 ownership
- Meet
- Enterprise workflows
- Not enough info
- Team leadership
- Does not meet
AI ATS
A modern AI-native ATS for startups.
Run every role and candidate in one clear process. Use AI to organize evidence and reduce screening work while people remain responsible for every hiring decision.
One candidate view
See the whole search, not separate inboxes.
Inbound applicants, candidates found by your team, and recruiter submissions belong to the same role and decision process.Jobs and applications
Create roles, publish application forms, and keep the incoming pool organized.
All candidates
Review application-centric records across jobs without collapsing people or their history.
Custom pipelines
Use stages that match the role and keep ownership and next steps visible.
Source clarity
Keep candidate source visible without creating different evaluation standards.
Evidence-based screening
Understand what is known before deciding what to do.
AI assistance organizes submitted evidence against employer-controlled criteria. Missing information remains missing instead of being turned into a negative conclusion.- 01
Define the criteria
Your team decides what matters and can revise the hiring bar.
- 02
Review the evidence
See Meet, Does Not Meet, or Not Enough Info with a concise explanation.
- 03
Make the decision
Shortlist, reject, or investigate further through an explicit human action.
Hiring operations
Keep interviews, feedback, and communication connected.
The operational work stays beside the role and candidate context, so the process creates useful signal instead of more coordination overhead.Interview scheduling
Coordinate the next conversation without losing the candidate context.
Structured scorecards
Capture evidence against the role instead of collecting disconnected opinions.
Candidate email
Keep communication and status changes visible in the hiring workflow.
Reporting
Understand sources, stage movement, and where active roles need attention.