Kainos

Belfast, United Kingdom

1000+Contact for ratesFounded 1986

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About

Kainos is a Belfast-headquartered digital services company whose data and AI practice builds machine learning and generative AI for government, healthcare and commercial clients.

Who They Work With

UK public bodies and regulated enterprises buying delivery at program scale, with AI as one workstream inside a larger build.

Clients:Enterprise Public sector B2B

Based on 5 client engagements with a source URL · researched 8 Sept 2026

Our Take

The published AI work is narrower than the size of the firm suggests: a machine-learning risk-rating tool for DVSA that flags abnormal MOT testing patterns and document comparison for HM Land Registry, both dated 2020, plus a 2024 Azure OpenAI build that cut equity-analyst research time by 30% for an unnamed UK asset manager.

Funds-Axis's founder names the AI team directly for extracting data from KIIDs with NLP, which is the clearest third-party confirmation on the site.

Most of the success-story library is Workday and cloud delivery—Genomics England's AWS migration, HR and finance rollouts across dozens of clients—so AI is one practice inside a broad services business, and the AI studies themselves are short: the HM Land Registry page is a customer quote plus a gated PDF.

The weaker fit is a buyer who wants a small senior AI team on one focused build; this is program-scale delivery, bought the way a government framework supplier is bought.

Key strengths

Named public-sector AI delivery: a machine-learning risk-rating tool for DVSA targeting MOT test fraud, and intelligent document comparison for HM Land Registry
A client founder names the AI team on the record—Funds-Axis on extracting KIID data with document analysis and NLP
Scale and continuity: founded 1986 with 1,000+ staff and long-running UK government programs published as success stories (DVSA, DfT, DVLA, FCDO, Genomics England)

Good to know

The two named AI case studies date from 2020 and the 2024 generative AI build is anonymized—ask for a recent LLM engagement you can reference by name
AI write-ups are short and metric-light; the HM Land Registry story is a quote plus a gated PDF—ask for architecture and evaluation detail before scoping
Most published work is Workday and cloud delivery—confirm who from the AI practice is actually staffed on your account rather than buying the firm's headline capability

Reviewed by Gabor Kiss

Founder & Curator, AIAgencies.eu · 8 Sept 2026

Based on the agency's publicly available portfolio. Own this agency? Claim your profile to provide additional context or request a review update.

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Notable Clients

Documented engagements: DVSA, HM Land Registry, Funds-Axis, Genomics England, Julius Baer, and DfT. All 6 carry a source URL on file.

DVSAMachine-learning risk-rating tool identifying abnormal MOT testing patterns to target enforcement, alongside the digitized driving examiner serviceSource

HM Land RegistryAI and machine learning applied to automate document comparison; the public page carries a customer quote, with detail behind a gated PDFSource

Funds-AxisAutomatic extraction of data from KIID documents using document analysis and NLP; the founder and CEO credits the AI team by nameSource

Genomics EnglandAWS migration and HPC optimization for datasets over 50 petabytes: common tasks up to 99% faster, migrations 12 months early, projected 90% cloud cost reduction (cloud work, not AI)Source

Julius BaerAutomated HR document management inside Workday with Kainos EDM, cutting contract turnaround from hours to minutes (Workday practice, not AI)Source

Also worked with

DfTSource