Textkernel
Textkernel provides AI-powered CV/resume and job parsing, semantic search, and candidate-job matching technology (including the acquired Sovren engine) embedded inside ATS, job board, and HR systems.
HireAIScore rates Textkernel 51 out of 100 (grade F, Substantial gaps) under rubric v1.0, last reviewed June 7, 2026. Textkernel ranks 21 of 49 vendors rated in Candidate sourcing AI, against a category average of 48. That score is drawn from 18 evidence items across 7 rubric criteria for Textkernel — 13 with a cited source, 5 recording that nothing was located.
§ 01 - Company facts
- Legal name
- Textkernel B.V.
- Founded
- 2001
- Headquarters
- Netherlands · NL
- Pricing tier
- Enterprise
- Market side
- Employer-side (AEDT)
- Categories
- SourcingScreeningATS-integrated
- Website
- textkernel.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%55
+11.0 · category avg 51
- 02
Bias Audit Transparency
Weight 18%55
+9.9 · category avg 47
- 03
FRIA Support
Weight 15%32
+4.8 · category avg 32
- 04
Data Governance Disclosure
Weight 15%55
+8.3 · category avg 54
- 05
Human Oversight Design
Weight 12%60
+7.2 · category avg 56
- 06
Post-Market Monitoring
Weight 12%40
+4.8 · category avg 41
- 07
Customer Documentation
Weight 8%62
+5.0 · category avg 57
Category avg is the mean raw score on that criterion across the 49 Candidate sourcing AI vendors in scope of this rubric, this one included.
§ 03 - Strongest · weakest
Strongest category
Customer Documentation
Raw score 62 · contributes 5.0 to total.
62 against a 57 category average
Weakest category
FRIA Support
Raw score 32 · contributes 4.8 to total.
32 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
- 18
- Documentation
- 10
- Audit report
- 1
- Public statement
- 2
- Absence
- 5
- With a source URL
- 13 of 18
- Source hostnames
- 3
- Fewest items
- 2
- FRIA Support
These figures measure how thoroughly Textkernel was reviewed, not how Textkernel performed — an absence row, recording that nothing was located, is counted like any other item.
Article 11 Technical Documentation
3 items55
- DocumentationCaptured Jun 7, 2026
Responsible AI page sets out a 'white box AI' / 'AI driven by humans' position and states solutions 'indicate exactly which criteria are used to construct the match', with a downloadable 'Reduce Bias in AI Recruitment' whitepaper.
- DocumentationCaptured Jun 7, 2026
Tx Platform developer documentation describes the matching engine's scoring (weighted score, Reverse Compatibility Score, SovScore) and per-category breakdowns, partially documenting how the AI reaches its output.
https://developer.textkernel.com/tx-platform/v10/search-match/overview/querying/
- AbsenceCaptured Jun 7, 2026
No system/model cards, formal Article 11 technical documentation pack, instructions-for-use, or ISO 42001 certification were found on textkernel.com, the developer portal, or the Responsible AI page.
Bias Audit Transparency
3 items55
- Audit reportCaptured Jun 7, 2026
Blog (dated Feb 2025) states Textkernel's Search & Match system was audited by Holistic AI for NYC Local Law 144, claiming impact ratios across gender and ethnicity consistently above the 0.8 benchmark.
https://www.textkernel.com/learn-support/blog/textkernel-passed-nyc-ai-law-audit/
- Public statementCaptured Jun 7, 2026
AI legislation blog references the company's NYC AEDT audit but links only to the summary post, not a downloadable bias-audit report.
- AbsenceCaptured Jun 7, 2026
No publicly downloadable Holistic AI audit report (with intersectional impact-ratio tables), AEDT candidate notice, or second-year/continuous bias audit was found on textkernel.com or the ACLU LL144 tracker.
FRIA Support
2 items32
- Public statementCaptured Jun 7, 2026
Blog explains the EU AI Act's high-risk classification and conformity-assessment routes for recruitment AI but does not cover Article 27 Fundamental Rights Impact Assessments or provide deployer templates/checklists.
- AbsenceCaptured Jun 7, 2026
No FRIA template, Article 27 deployer guidance, or fundamental-rights-impact-assessment material was found anywhere on textkernel.com or its policies/blog pages.
Data Governance Disclosure
2 items55
- DocumentationCaptured Jun 7, 2026
Developer FAQ states indexed parsed documents are scrubbed of all personal data/PII and that LLM Parser inputs and outputs are 'not stored, not used to train future models by Textkernel or AWS, and never shared' with outside parties.
- AbsenceCaptured Jun 7, 2026
No detailed training-data provenance/exclusion list, ISO 42001 certification, or publicly downloadable SOC 2 report was found; data-governance claims are high-level and certificates appear gated behind sales/NDA.
Human Oversight Design
3 items60
- DocumentationCaptured Jun 7, 2026
Source & Match product page states 'our Matching is not a black box, so recruiters can retain full control of the search' and promotes 'White box matching' where users 'remain in complete control of their search query from beginning to end'.
https://www.textkernel.com/products-solutions/source-and-match/
- DocumentationCaptured Jun 7, 2026
Developer docs show matches return scores broken down by category (Certifications, Education, Job Titles, Languages, Management Level, Skills, Industries, etc.) with suggested weights, giving reviewers an inspectable per-criterion rationale.
https://developer.textkernel.com/tx-platform/v10/search-match/overview/querying/
- DocumentationCaptured Jun 7, 2026
Responsible AI page frames the product as 'AI driven by humans' with users retaining decision-making authority and systems disregarding gender, ethnicity and age.
Post-Market Monitoring
2 items40
- DocumentationCaptured Jun 7, 2026
Responsible Disclosure Policy lists a security contact (security@bullhorn.com), a 2-business-day response commitment, a defined scope of products, and financial rewards for valid vulnerability reports.
https://www.textkernel.com/policies-statements/responsible-disclosure-policy/
- AbsenceCaptured Jun 7, 2026
No public continuous-monitoring dashboard, model-performance/drift monitoring page, model-update changelog, or status page was found for the AI matching/parsing products.
Customer Documentation
3 items62
- DocumentationCaptured Jun 7, 2026
Public product pages document the Source & Match sourcing/matching solution, its white-box approach, and bias-mitigation features.
https://www.textkernel.com/products-solutions/source-and-match/
- DocumentationCaptured Jun 7, 2026
Policies & Statements hub centralizes the privacy statement, GDPR/CCPA materials, responsible disclosure policy, and a Data Processing Agreement for deployers.
- DocumentationCaptured Jun 7, 2026
Customer-facing blog explains EU AI Act and NYC LL 144 obligations for recruitment AI and links to a Responsible AI webinar, though without downloadable compliance templates.
§ 05 - Editorial notes
Company overview
Textkernel B.V., founded in 2001 in Amsterdam as a spin-off of NLP/machine-learning research at Dutch and Belgian universities, builds AI for the HR-tech supply chain: multilingual CV/job parsing, semantic search, candidate-job matching, and skills/labor-market intelligence. Its technology is embedded inside thousands of ATS, job board, and HR platforms rather than sold direct to most end recruiters, and it claims its parsing engine is used across a large share of the global HR-tech industry. It acquired US parsing company Sovren in 2021 (whose engine and SovScore matching survive in the product) and was itself acquired by Bullhorn in 2024, now operating as 'Textkernel by Bullhorn'.
Regulatory exposure
As an Amsterdam-headquartered provider of AI used to filter and rank job applicants, Textkernel sits squarely in the EU AI Act's Annex III high-risk employment category, with provider obligations (Art. 11 technical documentation, Art. 9 risk management, Art. 14 human oversight) and downstream deployer FRIA duties (Art. 27) becoming enforceable in August 2026. Its matching engine is an Automated Employment Decision Tool under NYC Local Law 144, and its sourcing/screening output is exposed to Illinois and Colorado AI-hiring rules. Textkernel has engaged with this exposure more than most parsing vendors: it published a NYC LL 144 bias audit by Holistic AI (Feb 2025) and a 'white box' explainability stance, but offers no FRIA template, no ISO 42001, and no downloadable audit report.
Path to a higher score
The fastest gains are publishing the full Holistic AI bias-audit report (with intersectional impact-ratio tables and the AEDT candidate notice) as a durable downloadable artifact rather than a blog summary, and committing to annual re-audits to demonstrate continuity. Textkernel should produce an Article 11-style technical pack / model card and instructions-for-use per product, pursue ISO 42001 to formalize its AI management system, and ship explicit EU AI Act deployer guidance including a FRIA template - areas where it currently publishes nothing. A public trust center exposing the SOC 2 report, a data-exclusion statement, and a model-update changelog would close the remaining data-governance and post-market-monitoring gaps.
§ Regulatory frame
What applies to candidate sourcing ai.
Ranking outputs are inside Annex III §4 when they influence hiring decisions. GDPR Article 22 (automated decision-making) and the GDPR rights around profiling apply independently for EU candidates.
§ Compare
Build any comparison→Textkernel against its nearest-scoring peers.
In Candidate sourcing AI.
§ Others rated in Candidate sourcing AI
All sourcing vendors→Ranked 21 of 49 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.
- 18Phenom52F
- 19HiredScore52F
- 20Wellfound52F
- 21TextkernelThis profile51F
- 22Lever49F
- 23Oracle Recruiting49F
Conflicts of interest
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Casework has no commercial relationship with this vendor.