Defined.ai
Defined.ai is based in Seattle, USA and works in Natural Language Processing for Insurance, with further work in Computer Vision and AI Ethics & Governance.
- Average rating
- —
- Reviews
- 0
- Profile coverage
- 80%
- Evidence percentile
- P62
Profile updated · Request a correction
Company & commercials
- Primary category
- Natural Language Processing
- Team size
- Not disclosed
- Typical budget
- Not disclosed
- Primary industry
- Financial Services & Insurance
What Defined.ai does best.
Natural Language Processing provider for Financial Services & Insurance
Defined.ai is an ethical AI data marketplace providing curated, high-quality speech, vision, text, and music datasets to train responsible and trustworthy AI systems. Its own website shows its strongest capability in Natural Language Processing, alongside Sentiment Analysis and Text Summarization. The industry it describes most is Insurance.
2 platforms & methods
Bars show how many mapped capabilities use each one.
- Machine Learning1 capability
- Data AnnotationProfile only
Evidence report
How Defined.ai compares with peers on evidence, reviews and coverage.
What the evidence says
Defined.ai presents as a moderate evidence profile for Natural Language Processing. It ranks in the 62nd percentile of 701 published providers in Natural Language Processing, and no reviews on the profile yet.
Current positioning: P62 evidence quality · P73 industry breadthAI capabilities.
AI Ethics & Governance
None of the listed technologies is specific to AI Ethics & Governance.
Mapping source · https://defined.ai/solutions/data-and-model-evaluation — “Data and Model Evaluation Services | Defined.ai Defined.ai Awarded ISO 42001 Certification, Str”
Featured 12 of 36 capabilities, ranked by mapping grade then confidence.
Industries served.
- InsuranceDirect · Primary90%
https://defined.ai/ — “Physics Explore AI datasets across key domains Automotive Books Music Insurance Content Moderation Healthcare Dataset quality and AI governance built”
- FinTech PlatformsDirect80%
https://defined.ai/use-cases/fintech-services — “y and compliance requirements presents a major operational challenge. Fintech teams need to accelerate annotation without compromising accuracy or”
What clients say.
We needed a highly specialized robotics dataset that no one else could provide. Defined.ai delivered 225 hours of annotated human demonstration data.
Worked with Defined.ai? Review them → Every reviewer is verified by RankGlobal.
Sources behind this profile.
The RankGlobal Research Team opened each page and checked that it names Defined.ai. Pages on Defined.ai's own website are provider-supplied.
Certifications
- AI governance page stating ISO 27001, ISO 27701 and ISO 42001 certificationOn Defined.ai's website·checked 23 Oct 2026
Case studies
- Conversational AI for customer service: 22% higher call handling success for OmiliaOn Defined.ai's website·checked 23 Oct 2026
- Bilingual chatbot development for payment scenarios for Mastercard R&D LabsOn Defined.ai's website·checked 23 Oct 2026
How RankGlobal maps this profile.
RankGlobal maps this profile against a controlled taxonomy. Mapping grades on capability and industry cards describe how the profile is classified. Source strength for ranking decisions follows the hierarchy published on Research — a mapping grade is not a claim of discoverability weight.
- T1AuthoritativeTypical evidenceRegulators, registries, certifications, signed client evidence.Scoring useHighest evidentiary weight
- T2IndependentTypical evidenceCredible media, industry bodies, partner directories, third-party datasets.Scoring useStrong with attribution and recency
- T3Provider-controlledTypical evidenceCompany site, case studies, press releases, structured submissions.Scoring useAccepted as a claim; verification raises weight
- T4Discovery-onlyTypical evidenceDirectory listings, aggregations, and early discovery signals.Scoring useUsed for discovery; weighted accordingly in ranking
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- Primary category
- Natural Language Processing
- Primary industry
- Financial Services & Insurance
- Typical budget
- Not disclosed
- Team size
- Not disclosed
- 1Name the use caseSay which Natural Language Processing problem you are evaluating, so the research team can route your message accurately.
- 2Pressure-test the budget bandNo budget band is on file. Ask what a scope like yours typically lands at.
- 3Ask for a referenceRequest a client reference in Financial Services & Insurance — the strongest industry signal on this profile.
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