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Blueberry Consultants
Birmingham, United Kingdom
About
Blueberry Consultants is a Birmingham custom software consultancy building AI features into business applications, with its own model-routing, speech-to-text and retrieval tooling.
Who They Work With
Businesses hardening an AI prototype into a supportable production application, or embedding an LLM into software they already run.
Based on 3 client engagements with a source URL · researched 4 Sept 2026
Our Take
The strongest evidence is not a case study but the published engineering: multi-LLM comparisons run on named hardware with token-throughput figures, speech-to-text accuracy tests, RAG document Q&A demos and a write-up on indirect prompt injection—reproducible technical work rather than the listicles this category usually publishes.
The one deployed model in the portfolio is an on-device YOLO system in a low-cost laryngoscope that flags throat abnormalities in real time, described as rescued from a failed build and taken to a commercial-grade application, though the client is not named.
The three named case studies—Dimec's pharmacy app, an NHS A&E patient-monitoring whiteboard and a workflow system for PKF Cooper Parry—predate the AI positioning and describe conventional software delivery.
The weaker fit is a buyer who wants a named-client AI reference to check: the AI work is visible as demos, tooling and one anonymized deployment, not as a portfolio.
Key strengths
- €20–40/h from a company trading since 1996 that publishes the technical basis for its model recommendations
- In-house tooling ships rather than sits on a roadmap—an AI survey extension, a prompt assistant and an application framework, alongside a multi-model routing layer
- Named service lines address getting an AI-generated prototype to production, including code hardening and security review, which is where most vibe-coded builds fail
Good to know
- The medical device deployment is anonymized—ask for a speakable reference behind the on-device model work before shortlisting on it
- The client-named case studies are pre-LLM software projects; ask for a delivered generative-AI engagement with dates and a contact
- No ML engineers or researchers are named on the site—confirm who builds the model layer versus who integrates it
Reviewed by Gabor Kiss
Founder & Curator, AIAgencies.eu · 4 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.
Notable Clients
Every engagement documented in a published case study
Documented engagements: NHS, Dimec, and PKF Cooper Parry. All 3 carry a source URL on file.
Industries
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