AAmyAI
AI-native ATS

AI-native ATS built as hiring infrastructure, not a bolt-on.

By tomorrow: fewer manual reviews, faster shortlists, and clearer hiring decisions.

Signal over noise. Every score explains itself with evidence tied to your rubric and interviews.

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Trusted by
NorthlineLayerAshfieldFluxCoastArc
AmyAI - Candidate Review
RC
Riley Chen
92
PS
Priya Shah
88
MJ
Marcus Johnson
76
Strong fitAI Analysis
  • Interview signals align with role rubric.
  • Led 0 to 1 design systems at two teams.
  • Consistent impact on conversion and retention.

Built differently

AI-native workflows, not add-on automation.

This system is designed around real hiring signal, learning loops, and explainability built into every stage.

Bolt-on automationAI-native workflows that live inside your pipeline.
Keyword matchingSignal-based evaluation with evidence attached.
Static rulesLearning loop tuned to real hiring outcomes.
Opaque scoringExplainable decisions with audit trails.
60% less resume review time
2x faster hiring decisions
Built for modern teams

Core capabilities

Built for signal, speed, and accuracy.

Every surface is designed to remove noise and move decisions forward.

AI resume understanding
Structured summaries in seconds with evidence attached.
Auto-tag experience, impact, and role fit without manual pass.
Signal-based candidate scoring
Explainable scores tied directly to your rubric.
Weights adapt to the outcomes your team actually values.
Interview intelligence and summaries
Clean notes, key signals, and risks in minutes.
Summaries cut debrief time by hours every week.
Hiring analytics and feedback loops
See funnel quality in real time and adjust quickly.
Improve every role with closed-loop insights.
Decision orchestration
Shared context across recruiters and hiring managers.
Recruiters, managers, and founders align without extra syncs.

How it works

A hiring loop that gets smarter every week.

AmyAI connects to your roles, learns your criteria, and keeps teams aligned on real signal.

Syncs with ATS, calendars, and scorecards. Data stays in your stack.

1

Connect your roles

2

AI learns your criteria

3

Candidates ranked by real signal

4

Teams decide faster, together

Step 1
Connect your roles
Sync jobs, stages, scorecards, and calendars in minutes.
ATSCalendarSlackScorecards
Step 2
AI learns your criteria
Rubric weights update with every hire and rejection.
Role fitLive
ImpactLive
ExecutionLive
Step 3
Candidates ranked by real signal
Explainable scoring with evidence and risk flags.
Riley Chen
92
Priya Shah
88
Step 4
Teams decide faster, together
Shared context keeps decisions fast and consistent.
EC
MP
JS
Aligned decision

AI differentiation

AI that compounds with every hire.

AmyAI is infrastructure, not a feature. It learns from outcomes and enforces consistent criteria across the funnel.

Criteria learning updates every week, not every quarter.
Bias reduction through consistent rubric enforcement.
Audit logs show why candidates moved forward.
Adaptive criteria engine
Weights shift with every decision, not every release.
Role fitAdaptive
ImpactAdaptive
ExecutionAdaptive
Decision feedback loop
Hiring outcomes reinforce the model, not bias it.
Hired
Model update
Signal reinforcement
Noise drops as the system learns your team.

Before

After

Social proof

Trusted by teams shipping fast.

Northline
Layer
Ashfield
Flux
Coast
Arc
48% faster screening

"AmyAI cut screening time by 48% and helped hiring managers make decisions in half the time."

MP

Maya Patel

Head of Talent, Orbit

Infrastructure proof

AI as infrastructure, proven in the system.

Every decision updates the model, every score ships with evidence, and every change is traceable.

Feedback from hires and rejections adjusts rubric weights.
Scores link to evidence and rubric versions for auditability.
Data stays in your stack with API-based read and write.

Inputs

Resumes, interviews, outcomes

Learning loop

Rubric weights adjust weekly

Auditable output

Scores + evidence log

model_update id=8f12 rubric.role_fit=0.84
evidence_linked interview_summary=2 score=92
audit_log decision_id=57b1 actor=hiring_manager
14-day impact window

Hiring should feel this fast.

Launch in hours, measure impact in your first hiring cycle.