The AI collaboration layer for modern hiring

Hire like the best teams do.
Without the spreadsheets.

Interviewology sits on top of Greenhouse, gives interviewers a mobile-first experience, and turns messy panel notes into clean executive summaries — automatically.

No credit card. Free for your first hiring team.

interviewology.ai / dashboard
Active funnel
Q1 hiring
Time to hire
14d-3d
Panel completion
92%+8%
Bias flags caught
11this week
Latest panel summary
AI-synthesized

Strengths. Strong systems thinking across 3 of 4 panelists. Clear, structured answers on the database scaling question. Demonstrated ownership at previous role.

Concerns. Limited frontend experience surfaced in the live coding round. Two panelists noted the candidate defaulted to backend abstractions.

Recommendation. Hire as Senior Backend. Score: 4.2 / 5.

Built to play nicely with the ATS you already use

GREENHOUSEWORKDAYLEVERASHBYRIPPLING

The problem

The interview process is broken.

  • Interviewers are bogged down by clunky feedback spreadsheets.
  • Recruiters drown in unstructured, biased data.
  • Leadership has no visibility into what actually makes a "good hire."

The solution

An intelligent layer on top of your ATS.

We don't replace Greenhouse, Workday, or Lever. We sit on top of them — driving adoption with a consumer-grade UI that interviewers actually want to open.

Two surfaces, one source of truth

Designed for how you actually work.

For interviewers

Mobile-first. Zero training.

Pre-interview flashcards for prep. Swipe-and-tap scorecards on the rubric. Voice-to-text feedback the second the interview ends — capture everything in 60 seconds while walking back to your desk.

  • Glanceable candidate flashcards
  • 1–5 swipe rubric, one competency per card
  • Live voice transcription for debriefs
Up next2:30 PM
Sarah Chen
Senior Backend Engineer
Your topics
System designDatabase scaling
For recruiters

Centralized intelligence.

Schedule panels in seconds. Auto-allocate topics across interviewers so two people don't both ask 'tell me about a conflict.' Get one clean executive summary instead of five Slack threads.

  • Smart panel scheduling with topic allocation
  • AI-synthesized executive summaries
  • Bias-language detection across all feedback
Panel · Sarah Chen4 / 4 submitted
Alex· System design
4.5
Priya· Behavioral
4.0
Jordan· Coding
4.2
Sam· Culture add
4.0
Recommendation: Strong hire. Avg 4.2 / 5. Two flagged phrases auto-removed before summary.

The AI moat

Quiet intelligence. No theatrics.

The AI shows up where it matters — never as glittery distractions, always as useful summaries.

Voice-to-text debriefs

Real-time transcription captures interviewer thoughts the moment the interview ends, while context is sharpest.

Executive summaries

LLM synthesizes scores plus dictated notes into a clean three-paragraph summary: Strengths, Concerns, Recommendation.

Bias detection

Inline flags on phrases like 'culture fit' or gendered language — the interviewer revises before submitting, not after.

Topic auto-allocation

On panel creation, AI splits topics across interviewers so two people don't both ask the same opener.

Greenhouse sync

Two-way: pull candidates and panels from Greenhouse, push synthesized summaries back as scorecard notes.

Rubric refinement

As hires play out, the system correlates interview signals with retention to surface which competencies actually predict success.

Enterprise-ready, day one

Built for sensitive PII.

Strict role-based access control. End-to-end encryption. Audit logs. SOC2, GDPR, and CCPA aligned from the first commit.

RBAC
E2E Encryption
SOC 2
GDPR
CCPA
Audit logs

Hiring at scale,
finally feels right.

Join the early access waitlist. We're onboarding 10 hiring teams a week.