# Fuzzy Labs vs Sputnik Digital

> Two top-rated AI Development agencies in Manchester. Side by side: published rates, team size, service and industry coverage, and the curator's assessment of both — pairings are never sold.

Canonical page: https://www.aiagencies.eu/compare/fuzzy-labs-vs-sputnik-digital
Generated: 2026-09-21 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
| | Fuzzy Labs | Sputnik Digital |
|---|---|---|
| Editorial score | 56.3/100 | 51/100 |
| Hourly rate | not published | €85-130/hr (directory-listed) |
| Team size | — | 2-9 |
| Location | Manchester, United Kingdom | Manchester, United Kingdom |
| Founded | — | 1998 |
| Last reviewed | 2026-08-04 | 2026-08-04 |
| Services | AI Development, AI Consulting | AI Development, AI Consulting |
| Industries | SaaS & B2B, Manufacturing | FinTech, SaaS & B2B |

## Our take on Fuzzy Labs
Reviewed 2026-08-04 by Gabor Kiss against published evidence.

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 specializm and the published work supports it, though a third case study for a US sports broadcaster is anonymized 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 center, 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
- Specializm is the production path rather than model research; if you need novel modeling, check the fit

## Our take on Sputnik Digital
Reviewed 2026-08-04 by Gabor Kiss against published evidence.

Two named clients carry AI work here: Hollr, a generative-AI platform producing personalized video messages, and Invntry, which identifies and values household belongings from photographs for home-insurance claims.

The Invntry write-up is the more useful of the two, describing an agnostic LLM integration and structured prompt design—an architecture choice that keeps the client off a single model vendor, and worth asking about directly.

Neither case publishes an outcome figure, and the wider practice is positioned as product engineering rather than AI specifically, with discovery, design and conversion work alongside.

Best for insurance and consumer platforms adding an AI feature to a product that already exists, rather than commissioning an AI system from scratch.

### Key strengths
- Two separate named-client AI builds, in different techniques—generative video and image recognition
- Model-agnostic integration is a stated design choice, not an afterthought
- Full product capability around the AI work: discovery, UX, engineering and optimization in one team

### Good to know
- No outcome figures on either AI case—ask what accuracy or adoption looked like after launch
- No published founding year, headcount or rates

## Which to choose
Choose Fuzzy Labs for:
- closer collaboration at a smaller team scale
- disclosed specialization in Manufacturing
- a higher overall editorial score

Choose Sputnik Digital for:
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in FinTech

## Questions buyers ask

### Which has more SaaS & B2B experience, Fuzzy Labs or Sputnik Digital?
Both agencies show documented SaaS & B2B work and have similar industry breadth. Compare directly on the agency profiles: Fuzzy Labs and Sputnik Digital.

### Which scores higher overall, Fuzzy Labs or Sputnik Digital?
Fuzzy Labs scores 56.3/100, 5.3 points higher than Sputnik Digital at 51/100. Both portfolio quality and business credibility feed into the score — see our methodology for the full breakdown.

### When should I consider both Fuzzy Labs and Sputnik Digital?
Consider running parallel discovery briefs with Fuzzy Labs and Sputnik Digital if your project spans multiple workstreams, you want competitive proposals to compare scope and approach, or you're undecided between the specialization angles each brings (see the Best for cards above). Most engagements ultimately go with one — but the parallel-brief phase is a low-cost way to validate fit.

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Source: AIAgencies.eu — the curated register of European AI agencies. Rate provenance: "agency-confirmed" = disclosed via submission or claimed profile; "directory-listed" = Clutch or two agreeing B2B directories (lone unverified sources are never written). Full method: https://www.aiagencies.eu/methodology · Rate index: https://www.aiagencies.eu/rates