Talkpush
Talkpush is a conversational recruitment CRM and applicant tracking system for high-volume hiring that screens candidates over WhatsApp, Messenger, SMS and voice using chatbots, automated workflows (Autoflow), an AI English-proficiency assessment (TalkScore) and an outbound AI voice agent.
HireAIScore rates Talkpush 46 out of 100 (grade F, Substantial gaps) under rubric v1.0, last reviewed August 2, 2026. Talkpush ranks 50 of 92 vendors rated in Screening AI, against a category average of 47. That score is drawn from 28 evidence items across 7 rubric criteria for Talkpush — 21 with a cited source, 7 recording that nothing was located.
§ 01 - Company facts
- Founded
- 2014
- Headquarters
- Hong Kong · HK
- Pricing tier
- Enterprise
- Market side
- Employer-side (AEDT)
- Categories
- ScreeningATS-integratedAssessmentScheduling
- Website
- talkpush.com
These are company details, not findings. They are editable by a verified representative and carry no weight in the score, which is built only from the cited evidence below.
§ 02 - Score breakdown
§ Score breakdown
Category scoring
Weighted contribution shown to the right of each bar.
- 01
Article 11 Technical Documentation
Weight 20%52
+10.4 · category avg 50
- 02
Bias Audit Transparency
Weight 18%42
+7.6 · category avg 46
- 03
FRIA Support
Weight 15%27
+4.0 · category avg 32
- 04
Data Governance Disclosure
Weight 15%44
+6.6 · category avg 54
- 05
Human Oversight Design
Weight 12%56
+6.7 · category avg 56
- 06
Post-Market Monitoring
Weight 12%46
+5.5 · category avg 40
- 07
Customer Documentation
Weight 8%60
+4.8 · category avg 58
Category avg is the mean raw score on that criterion across the 92 Screening AI vendors in scope of this rubric, this one included.
§ 03 - Strongest · weakest
Strongest category
Customer Documentation
Raw score 60 · contributes 4.8 to total.
60 against a 58 category average
Weakest category
FRIA Support
Raw score 27 · contributes 4.0 to total.
27 against a 32 category average
§ 04 - Cited evidence
Download diligence record→§ Evidence
Cited per category
Every score is backed by at least one cited piece of evidence.
Evidence ledger
- Items
- 28
- Documentation
- 16
- Public statement
- 5
- Absence
- 7
- With a source URL
- 21 of 28
- Source hostnames
- 5
- Fewest items
- 3
- Article 11 Technical Documentation
These figures measure how thoroughly Talkpush was reviewed, not how Talkpush performed — an absence row, recording that nothing was located, is counted like any other item.
Article 11 Technical Documentation
3 items52
- DocumentationCaptured Aug 2, 2026
A publicly downloadable 19-page whitepaper authored by Talkpush's Head of Product Adrian Gomez and Product Manager Pablo de Yzaguirre (PDF metadata dated June 2025) documents TalkScore's evaluation process, impact-based scoring approach, CEFR threshold mapping, error typology, MAE performance metrics and stated future research directions.
- DocumentationCaptured Aug 2, 2026
A public landing page summarises TalkScore's validation headline figures (0.91 pronunciation correlation against expert human raters, 96.9% agreement identifying sub-A2 candidates) and describes the scores as 'explainable' for hiring-manager review.
https://www.talkpush.com/how-talkscore-delivers-fair-consistent-and-scalable-language-assessments
- AbsenceCaptured Aug 2, 2026
No AI policy, responsible-AI principles page, model card, explainability statement, ISO 42001 certification or EU AI Act technical documentation pack was found on talkpush.com, blog.talkpush.com or help.talkpush.com (whose 24 help collections include none covering AI governance), and the whitepaper states the detailed methodology report is only 'available upon request'.
Bias Audit Transparency
4 items42
- DocumentationCaptured Aug 2, 2026
Talkpush's own whitepaper reports a validation study across 200 candidates showing a Mean Absolute Error of 0.84 versus 1.18 for human evaluators, a 0.783 correlation with the Versant benchmark and 91.6% agreement in classification, but presents no results disaggregated by sex, race, national origin or first language.
- Public statementCaptured Aug 2, 2026
Under 'Future Directions' the whitepaper concedes that broader sampling and cultural diversity work remains outstanding, stating that 'Future studies should analyze scoring variations to mitigate bias' and ensure 'fairness across linguistic backgrounds'- an admission that demographic bias testing has not yet been performed.
- Public statementCaptured Aug 2, 2026
Marketing copy claims TalkScore can 'remove accent bias while maintaining CEFR alignment' and provides 'unbiased' assessment, a fairness claim that outruns the published evidence since no accent-, nationality- or first-language-disaggregated results are provided anywhere.
https://www.talkpush.com/how-talkscore-delivers-fair-consistent-and-scalable-language-assessments
- AbsenceCaptured Aug 2, 2026
No NYC Local Law 144 bias audit summary, independent audit by any recognised auditor (BABL AI, DCI, ORCAA, Warden AI, Holistic AI, Credo AI, ConductorAI), or academic third-party audit of Talkpush or TalkScore was located via web search or on talkpush.com, its whitepaper hub or its help centre.
FRIA Support
3 items27
- AbsenceCaptured Aug 2, 2026
No EU AI Act Article 27 Fundamental Rights Impact Assessment template, DPIA template, deployer-obligation guidance, high-risk-system classification note or EU AI Act content of any kind was found on talkpush.com, its whitepaper hub, its blog or its help centre, and https://www.talkpush.com/trust and https://www.talkpush.com/dpa both return HTTP 404.
- DocumentationCaptured Aug 2, 2026
The terms place compliance responsibility generically on the customer -'You shall ensure that you have all necessary approvals, permissions or authorisations for the services operated through Talkpush'- but contain no data processing agreement, no AI or automated-decision clauses and no employment-law or fundamental-rights assessment support.
- DocumentationCaptured Aug 2, 2026
The privacy policy publishes a compliance@talkpush.com contact for data requests and privacy concerns, the only compliance-facing channel Talkpush surfaces publicly.
Data Governance Disclosure
4 items44
- DocumentationCaptured Aug 2, 2026
Talkpush documents a concrete retention control under which 'leads marked as soft-deleted for two years will be permanently removed from our database' (in effect since 21 October 2024), with immediate permanent deletion for candidates who unsubscribe, explicitly framed as GDPR compliance.
- Public statementCaptured Aug 2, 2026
A blog post announces SOC 2 compliance and states that 'All data is encrypted both in transit and at rest', alongside access restrictions, routine audits and an incident response plan, but names no auditor, no Type 1/Type 2 designation, no report date, no scope and no process for customers to request the report.
https://www.talkpush.com/post/talkpush-is-now-soc-2-compliant-what-this-means-for-you
- DocumentationCaptured Aug 2, 2026
The privacy policy enumerates the personal data categories processed - name, email, address, phone, work experience and skills, captured as text, audio and video recordings - and refers generically to third-party providers for maintenance, database management, analytics and IVR hosting without naming them.
- AbsenceCaptured Aug 2, 2026
No disclosure of what data trains or tunes the TalkScore or Voice-AI models, no exclusion list, no statement on whether candidate audio or transcripts are reused for model improvement, no subprocessor list, no data processing agreement, no data-residency options and no ISO 27001 or ISO 42001 certification were found across talkpush.com, its privacy policy, its terms or its help centre.
Human Oversight Design
5 items56
- DocumentationCaptured Aug 2, 2026
Talkpush implements role-based access control across five levels (Owner, Manager, Manager with Analytics, Limited Manager, Onboarding Admin) governing campaign, analytics and settings permissions, and preserves user records by disabling rather than deleting accounts.
https://help.talkpush.com/en/articles/5844218-user-access-levels
- DocumentationCaptured Aug 2, 2026
Recruiters can attach predefined shortlist and rejection reasons to each candidate, which the documentation frames as 'ensuring transparency for all involved' and, when the single-reason option is enabled, giving each candidate 'a single, trackable rejection reason for compliance and reporting purposes'- though recording a reason is optional.
https://help.talkpush.com/en/articles/6075416-shortlisted-rejection-reasons
- DocumentationCaptured Aug 2, 2026
Autoflow maintains a version log where 'The version log shows the setup of the Autoflow that was triggered and the one currently in use', providing a partial reconstruction trail of which automation configuration acted on a candidate, though not a per-execution audit log.
https://help.talkpush.com/en/articles/6793338-faster-hiring-with-autoflow
- Public statementCaptured Aug 2, 2026
The privacy policy asserts that 'no automated decisions are made by the platform' while in the same document describing optional Smart Filter and AutoFlow functionality that 'automatically processes applicants according to matching criteria determined by the Employer', a tension unresolved in any public document.
- AbsenceCaptured Aug 2, 2026
No documentation of a recruiter's ability to review, challenge or override an AI-generated TalkScore result, no human approval gate before Autoflow moves a candidate to the Rejected folder, no per-jurisdiction compliance toggles and no candidate-facing AI disclosure or consent mechanism were found in the TalkScore, Autoflow or Voice-AI help collections.
Post-Market Monitoring
4 items46
- DocumentationCaptured Aug 2, 2026
A live public status page tracks the Talkpush API, Job Landing Page and Web CRM with 30- and 90-day uptime figures and publishes dated resolved incidents with remediation notes, including a CRM 500-error incident resolved 17 July 2026 and degraded Singapore-region performance resolved 5 June 2026.
- DocumentationCaptured Aug 2, 2026
A public 'What's new' changelog publishes dated product release notes (for example 'Sort by Job Match Score' and 'Call Recordings & Insights right in Chat', both May 2025), though entries describe feature releases rather than AI model or scoring methodology changes.
- Public statementCaptured Aug 2, 2026
The whitepaper claims 'TalkScore undergoes regular audits and refinements' with 'continuous model updates and benchmarking efforts', but no published artefact, cadence, dashboard or result from that monitoring process is made available.
- AbsenceCaptured Aug 2, 2026
No security.txt, vulnerability disclosure or bug bounty programme, no AI incident reporting channel, and no public fairness or model-performance monitoring dashboard were found; https://www.talkpush.com/security returns HTTP 404 and the only compliance-facing address published is compliance@talkpush.com in the privacy policy.
Customer Documentation
5 items60
- DocumentationCaptured Aug 2, 2026
Talkpush operates an extensive public help centre organised into 24 collections covering Autoflow, TalkScore, Voice-AI, Analytics, Company Settings, Proctoring, Candidate Experience, New Releases and a product glossary, with no login required.
- DocumentationCaptured Aug 2, 2026
The public site provides detailed per-product pages for the ATS, conversational AI, assessments, recruitment automation, onboarding and voice agents, alongside a blog, podcast, events archive, integrations directory and an academy.
- DocumentationCaptured Aug 2, 2026
A public whitepaper hub offers four downloadable papers on ATS integration, social media sourcing, WhatsApp business messaging and recruiting tool effectiveness, none of which addresses AI governance, bias, fairness or regulatory compliance.
- DocumentationCaptured Aug 2, 2026
At least one help article gives deployer-relevant compliance guidance, explaining the automatic data-deletion behaviour customers rely on for GDPR retention obligations.
- AbsenceCaptured Aug 2, 2026
No data processing agreement, subprocessor list, trust or security centre, NYC Local Law 144 notice guidance, EU AI Act deployer guidance or AI-governance FAQ exists; the help centre has no security, privacy or compliance collection among its 24, and https://www.talkpush.com/dpa, /trust and /security all return HTTP 404.
§ 05 - Editorial notes
Company overview
Founded in 2014 by Max Armbruster, Talkpush is a conversational recruitment CRM and AI-powered ATS built for high-volume and frontline hiring, with a strong footprint in BPO, retail and QSR across emerging markets. Its published privacy policy is governed by Hong Kong law, and the company maintains offices across the Philippines, Mexico, Costa Rica, India and San Francisco. The platform captures candidates on WhatsApp, Facebook Messenger, SMS and TikTok, routes them through Autoflow automations, scores spoken English via the TalkScore engine (CEFR A1-C2 across pronunciation, vocabulary, grammar, fluency, comprehension and active listening), and runs outbound AI phone screens through Voice-AI in 28 languages. Pricing is quote-only behind a demo request, with enterprise logos including McDonald's, Walmart and IQOR cited on the homepage.
Regulatory exposure
Talkpush sits squarely in EU AI Act Annex III high-risk territory: TalkScore assigns a proficiency grade that functions as an "objective pass/fail gate" for hiring, and Autoflow can route candidates to shortlist or rejection folders based on attributes without a documented human approval step. That creates a direct tension with the company's own privacy policy, which asserts that "no automated decisions are made by the platform" while simultaneously describing optional Smart Filter and AutoFlow functionality that "automatically processes applicants according to matching criteria determined by the Employer." The published TalkScore whitepaper is a genuine, quantitative validation study (n=200; MAE 0.84 vs. 1.18 for human evaluators; 0.783 correlation and 91.6% classification agreement against Versant) but contains no analysis by protected class, and explicitly defers demographic fairness work to "Future studies [that] should analyze scoring variations to mitigate bias"- which sits awkwardly beside marketing copy claiming the product will "remove accent bias." Accent- and language-based scoring carries well-documented national-origin discrimination exposure under US law, and there is no published NYC LL 144 bias audit, no EU AI Act or Article 27 FRIA material, no DPA, no subprocessor list, and no trust or security page (talkpush.com/security, /trust and /dpa all return 404). A SOC 2 announcement exists but names no auditor, type, date or scope.
Path to a higher score
The fastest wins are governance artifacts Talkpush does not yet have rather than new engineering. Publishing a responsible-AI or AI-governance page with a stated intended purpose, known limitations and out-of-scope uses for TalkScore and Voice-AI would immediately lift the Article 11 score, and upgrading the whitepaper's gated "comprehensive report... available upon request" into a public technical annex would go further. The single highest-leverage move is commissioning an independent adverse-impact audit of TalkScore disaggregated by sex, race/ethnicity and - given the accent-bias claim - first language and nationality, then publishing it as a downloadable report with auditor name and date; the company's own whitepaper already identifies this as the open gap. Adding a trust page that names the SOC 2 auditor, type and date, discloses whether candidate audio or transcripts are used to train or refine scoring models, and lists subprocessors and data residency would close most of the data-governance deficit. Finally, deployer-facing guidance - an Article 27 FRIA starting template, a standard DPA, NYC LL 144 notice language, and documentation of how a recruiter reviews, challenges or overrides a TalkScore result before an Autoflow rejection fires - would move FRIA support, human oversight and customer documentation together.
§ 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.
§ Compare
Build any comparison→Talkpush against its nearest-scoring peers.
In Screening AI.
§ Others rated in Screening AI
All screening vendors→Ranked 50 of 92 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.
- 47Interviewer.AI47F
- 48TestGorilla47F
- 49Korn Ferry46F
- 50TalkpushThis profile46F
- 51Vervoe46F
- 52Arctic Shores46F
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.