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Fuzzy Labs
Manchester, United Kingdom
About
Fuzzy Labs is a Manchester machine-learning consultancy specialising in open-source MLOps, taking models from prototype into production infrastructure clients can run themselves.
Who They Work With
Teams with a model that works in a notebook and needs to run, and keep running, in production.
Based on 2 documented clients · verified Aug 2026
Our Take
The Zally case study is the kind most agencies avoid publishing: a specific number attached to a specific bottleneck, model deployment cut from two days to five minutes by a custom MLOps pipeline.
The PEBL work puts computer vision on edge devices for seaweed farm monitoring, which is a harder engineering problem than it sounds—inference has to run where there is no reliable connection.
Open-source MLOps is the stated specialism and the published work supports it, though a third case study for a US sports broadcaster is anonymised and no team size or founding year is published.
The weaker fit is a buyer who wants a model demonstrated rather than operated; this practice is built around what happens after the notebook works.
Key strengths
- Publishes a hard before-and-after metric—two days to five minutes on deployment—which almost no agency on this register does
- Edge deployment for PEBL shows inference running outside a data centre, not just in one
- Open-source tooling by preference, so the pipeline stays inspectable and portable after handover
Good to know
- No published team size or founding year—ask about capacity and who would run your engagement
- Specialism is the production path rather than model research; if you need novel modelling, check the fit
Reviewed by Gabor Kiss
Founder & Curator, AIAgencies.eu · Aug 4, 2026
Based on the agency's publicly available portfolio. Own this agency? Claim your profile to provide additional context or request a review update.
Notable Clients
Every engagement documented in a published case study
Services
Industries
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