Greenhouse AI

AI tool profile ·

AI features inside the Greenhouse hiring platform that take interview notes, review resumes, and audit for bias, with a person always making the hiring decision.

90TriVista score
Category rank#1 in Human Resources, Recruiting, and Workforce AI
Baseline ELO1,592.7
At a glance
What it does

Greenhouse AI is the AI layer built into the Greenhouse hiring platform. Recruiters use its Notetaker to transcribe interviews and map notes to scorecard questions automatically, and a Voice AI feature can run a real interview conversation with a candidate, not just a scripted recording. Resume Review uses Greenhouse's own parsing technology and can hide identifying details to support blind screening, and AI Insights lets a team build reports by typing a plain question. Greenhouse runs monthly bias audits on its AI features through an outside firm called Warden AI, holds ISO 42001 certification for AI governance, and states hiring decisions stay with people, not the algorithm.

Where it can help

This fits a company that already uses Greenhouse, or is choosing it now, since these AI features live inside that system and are not sold on their own, and a recruiting team that wants AI help with busywork like notes and report building while keeping every hiring decision with a person. A good starting point is turning on Notetaker and AI Insights first, adding Voice AI once the team trusts the workflow. Plans run from a lower tier near five thousand dollars a year to seventy thousand or more for larger deployments; treat that as a planning range and confirm with sales. Watch for extra costs at renewal, since some buyers report price increases of eight to fifteen percent a year, and note that hiring AI now falls under laws like New York's Local Law 144, so confirm which audits apply in your hiring locations.

Understanding this score

A research signal to help you build a shortlist.

TriVista score
90.5
Category rank
#1
Baseline ELO
1,592.7

Compare within the category

This tool is ranked in Human Resources, Recruiting, and Workforce AI. Its score is not a global ranking across every AI tool.

Use a pilot to judge your fit

The score does not guarantee performance for your team. Validate relevance, integration, permissions, and cost against your own requirements.

How the number is calculated

The score converts the baseline ELO rating onto the TriVista scale. The headline badge rounds to a whole number. Scores are not silently clipped or capped.

TriVista Score = 50 + (ELO − 1350) / 6

Before you choose
  • Customer feedback is not yet strong enough to change the starting rating.
  • The starting rating includes a product-specific comparison.
  • Check the current price before you decide.
  • We recorded rollout time, how it runs, and when it does not fit.
How company details affect the score

The model adjusts the starting rating using the company details you select. Use these estimates to prioritize your review, then test the tool against your own requirements.

Read the full methodology →
Business Goals

Business goals to explore

Potential matches to review against your requirements. Explore matching tools or read a task guide before you choose.

Company fit

Where this tool fits best

The industries and leadership roles this tool is most often matched with.

How your company could affect the fit

How one company factor at a time moves the modeled score. The published score is unchanged.

Technology Maturity Low Modeled score86.2 / 100 Modeled category rank#1
Baseline Moderate Adjusted ELO 1,567.0 Change from baseline -28.2 ELO
Industry Healthcare and life sciences Modeled score93.9 / 100 Modeled category rank#1
Baseline Consumer products Adjusted ELO 1,613.2 Change from baseline +18.0 ELO
Industry Financial and professional services Modeled score93.8 / 100 Modeled category rank#1
Baseline Consumer products Adjusted ELO 1,612.9 Change from baseline +17.7 ELO
Industry Energy and utilities Modeled score93.8 / 100 Modeled category rank#1
Baseline Consumer products Adjusted ELO 1,612.8 Change from baseline +17.6 ELO
Industry Technology and telecommunications Modeled score93.6 / 100 Modeled category rank#1
Baseline Consumer products Adjusted ELO 1,611.4 Change from baseline +16.2 ELO
Revenue Band Under $25M Modeled score89.6 / 100 Modeled category rank#1
Baseline $25M-$100M Adjusted ELO 1,587.8 Change from baseline -7.4 ELO
Technology Maturity High Modeled score92.1 / 100 Modeled category rank#1
Baseline Moderate Adjusted ELO 1,602.5 Change from baseline +7.3 ELO
Revenue Band Over $2B Modeled score90.2 / 100 Modeled category rank#1
Baseline $25M-$100M Adjusted ELO 1,591.2 Change from baseline -4.0 ELO
Industry Construction and real estate Modeled score91.5 / 100 Modeled category rank#1
Baseline Consumer products Adjusted ELO 1,599.1 Change from baseline +3.9 ELO
Industry Industrial manufacturing Modeled score90.5 / 100 Modeled category rank#1
Baseline Consumer products Adjusted ELO 1,593.0 Change from baseline -2.2 ELO
Industry Automotive and transportation Modeled score90.6 / 100 Modeled category rank#1
Baseline Consumer products Adjusted ELO 1,593.3 Change from baseline -1.9 ELO
Industry Food and beverage Modeled score90.6 / 100 Modeled category rank#1
Baseline Consumer products Adjusted ELO 1,593.8 Change from baseline -1.4 ELO
Industry Retail and distribution Modeled score90.6 / 100 Modeled category rank#1
Baseline Consumer products Adjusted ELO 1,593.9 Change from baseline -1.3 ELO
Revenue Band $100M-$500M Modeled score90.7 / 100 Modeled category rank#1
Baseline $25M-$100M Adjusted ELO 1,594.1 Change from baseline -1.1 ELO
Company Type Business services Modeled score91.0 / 100 Modeled category rank#1
Baseline Manufacturing Adjusted ELO 1,596.1 Change from baseline +0.9 ELO
Revenue Band $500M-$2B Modeled score90.8 / 100 Modeled category rank#1
Baseline $25M-$100M Adjusted ELO 1,594.7 Change from baseline -0.5 ELO
Cost guide

What it can cost

These estimates cover licensing, setup, integrations, staff time, security, administration, and support.

Cost estimates by scenario Unit used in these estimates: enabled user.
Cost measureLowBaseHigh
First-year total$21K$34K$56.2K
Three-year total$39.1K$61.1K$97.9K
First-year cost per unit$1K$1.7K$2.8K
Average annual cost per unit (over three years)$651$1K$1.6K
Cost breakdown by scenario
Included cost components
ComponentLowBaseHigh
Licensing and usage$1.1K$1.5K$2K
Implementation$5.4K$9K$15.3K
Integration$3.9K$7K$12.6K
Staff time and change management$3.5K$5K$7K
Security$2.8K$4K$6K
Administration$2.3K$3K$4.1K
Support$1.1K$1.4K$1.9K

Estimate assumptions: This scenario uses a category-based allowance, not a verified price for this product. Based on 20 enabled users. Confirm the vendor’s billing unit and current price or quote before budgeting.

Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.

Get started

What you need first

What you need firstSet up the basics

Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.

How to startSet clear limits

Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot

Before you scaleSet safe working rules

Review security and exit requirements →

Recommended next action

Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.

Decision ownerBusiness and technology owner
STARTSet a goal and owner

Define what success looks like for a test of Greenhouse AI and assign someone to lead it.

FIRST MONTHTest one workflow

Once the requirements above are met, compare a small trial with how your team works today.

MONTH TWOReview actual use

Track adoption, output quality, business results, and actual costs against the estimate.

MONTH THREEDecide what comes next

Use the results to decide whether to stop, adjust, or expand the pilot.

Risk profile

Required controls

Security and safe use

Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.

Exit and rollback

Export Greenhouse AI employee or candidate records, configurations, criteria, score definitions, decisions, notices, corrections, and audit history subject to labor and retention law. Proprietary recommendations may not transfer, so preserve the evidence needed to explain prior decisions and require deletion of personal data.

Recommended next step

Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.

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Research support

How to learn more about this tool

Where to check the product, price, security, and support.

Reference source Product website View source →

Research observations recorded: 1. Evidence quality: Good support.

Score history

How the rating has changed

Recorded score and category rank across research updates.

  • Current catalog refresh
    TriVista Score 90.5/100
    Category rank #1
  • Research release
    TriVista Score 90.5/100
    Category rank #1

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