Humanly

Conversational AI for high-volume recruiting that engages, screens, and schedules candidates across chat, SMS, email, voice, and video, with structured AI interviews and automated scoring.
ScreeningSchedulingVideo interview

HireAIScore rates Humanly 42 out of 100 (grade F, Substantial gaps) under rubric v1.0, last reviewed June 7, 2026. Humanly ranks 108 of 160 vendors rated in Screening AI, against a category average of 46. That score is drawn from 18 evidence items across 7 rubric criteria for Humanly — 12 with a cited source, 6 recording that nothing was located.

Score breakdown

Humanly, criterion by criterion

Each rubric criterion is scored out of 100 on the cited evidence, then weighted into the total.

Weighted contribution shown to the right of each bar.

  1. Article 11 Technical Documentation

    Weight 20% · avg 49

    45

    +9.0

  2. Bias Audit Transparency

    Weight 18% · avg 41

    40

    +7.2

  3. FRIA Support

    Weight 15% · avg 31

    35

    +5.3

  4. Data Governance Disclosure

    Weight 15% · avg 53

    40

    +6.0

  5. Human Oversight Design

    Weight 12% · avg 56

    58

    +7.0

  6. Post-Market Monitoring

    Weight 12% · avg 40

    30

    +3.6

  7. Customer Documentation

    Weight 8% · avg 58

    52

    +4.2

Total weighted score

42.2(rounded to 42 for display)

Category avg is the mean raw score on that criterion across the 160 Screening AI vendors in scope of this rubric, this one included.

Strongest criterion

Human Oversight Design

58raw / 100

Contributes 7.0 to the total. 58 against a 56 category average.

Weakest criterion

Post-Market Monitoring

30raw / 100

Contributes 3.6 to the total. 30 against a 40 category average.

Cited evidence

The evidence behind the score

Every score is backed by at least one cited piece of evidence. Open a criterion to see what was found, when, and where.

Download diligence record

Evidence ledger

Items
18
Documentation
9
Public statement
3
Absence
6
With a source URL
12 of 18
Source hostnames
3
Fewest items
2
FRIA Support

These figures measure how thoroughly Humanly was reviewed, not how Humanly performed — an absence row, recording that nothing was located, is counted like any other item.

Article 11 Technical Documentation

3 items45

Bias Audit Transparency

3 items40

FRIA Support

2 items35

Data Governance Disclosure

3 items40

Human Oversight Design

2 items58

Post-Market Monitoring

2 items30
  • DocumentationCaptured Jun 7, 2026

    Lists 'Continuous Monitoring & Improvement' as a governance pillar but provides no public dashboard or changelog.

    https://www.humanly.io/products/ai-interviews

  • AbsenceCaptured Jun 7, 2026

    No public material located as of 2026-06-07.

    Where we looked: No public status page, incident channel, model-update changelog, security.txt, or vulnerability-disclosure policy located.

    Have a URL that disputes this?

Customer Documentation

3 items52

Editorial notes

Company overview

Humanly (legal entity HumanlyHR Inc.) is a Seattle-based conversational-AI recruiting vendor founded in 2018 and a 2019 Y Combinator graduate. Its platform automates candidate engagement, screening, interview scheduling, reference checks, and structured AI interviews across chat, SMS, email, voice, and video for high-volume hiring teams. In October 2025 it acquired Sprockets, Qualifi, and HourWork to extend into sourcing, voice screening, and post-hire retention, and reports roughly 250,000 candidate interviews per month.

Regulatory exposure

Humanly sits in the high-risk zone of employment AI: it screens candidates against knockout criteria, applies "consistent scoring models," and surfaces scored candidate snapshots used to advance or filter applicants - functionality that maps to an AEDT under NYC LL 144, a high-risk system under EU AI Act Annex III, and a "consequential decision" tool under Colorado SB-205 and Illinois law. Its compliance commitment is mediated through a third-party governance vendor (FairNow, named publicly in a September 2024 release), but Humanly itself publishes no bias-audit report, no LL 144 audit summary, and no per-jurisdiction deployer guidance. A notable disclosed practice: GeekWire reports it trains candidate-scoring models on millions of chat and video transcripts - a use its own privacy policy does not address.

Path to a higher score

The highest-credibility wins are: publishing an independent NYC LL 144 bias-audit summary with auditor name, date, and impact-ratio tables on a stable, ungated URL; un-gating the "Ethical AI Framework" whitepaper and publishing an instructions-for-use / model-card style document; standing up a real trust/security page with any SOC 2 or ISO certifications (the previously referenced /data-security page now 404s); and adding explicit deployer-facing guidance for LL 144 notices, EU AI Act Article 27 FRIA support, and Colorado SB-205.

Regulatory frame

What applies to screening AI.

Treated as high-risk under Annex III §4 when the screening output is decisive. EU AI Act Article 13 transparency obligations apply; deployers must give candidates a way to contest.

Keep reading

All screening vendorsHow this score is builtAnnex IV section-by-section: what AI hiring vendors must documentWhat makes a defensible NYC LL 144 bias audit

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Ranking

Others rated in Screening AI

Ranked 108 of 160 by weighted total under rubric v1.0. The ordering is arithmetic on the rubric and carries no view on which tool suits a given hiring process.

  1. #105Coderbyte42F
  2. #106Draup42F
  3. #107Talogy42F
  4. #108HumanlyThis profile42F
  5. #109Recruitee42F
  6. #110Tengai42F
All screening vendors

Conflicts of interest

No vendor pays for placement, scoring, or removal. Casework - the consulting firm that operates this directory - provides paid services to some vendors. Any active or recent (within 24 months) commercial relationship is disclosed on the affected vendor profile and the review is reassigned to an independent reviewer. See the full policy on About.

Casework has no commercial relationship with this vendor.