Ranking Criteria
Each agency was assessed across five equally weighted dimensions scored out of 20: (1) Delivery speed -- documented evidence of 4--12 week MVP delivery cycles; (2) AI/ML technical depth -- production deployments using LLMs, vector databases, or ML pipelines, not just API wrappers; (3) Pricing transparency -- fixed-price or clearly scoped engagements with no hidden change-request billing; (4) Production readiness -- code ownership transferred, CI/CD pipelines, GDPR compliance by default; (5) Startup alignment -- experience with seed/Series A stage companies and willingness to work with founders, not just enterprise procurement.
Comparison Table
| Agency | Delivery Speed | AI Depth | Fixed Price | UK-Based | Starting Price | |---|---|---|---|---|---| | SpeedMVPs | 2-3 weeks | High | Yes | Yes | From GBP 8,000 | | Gravitywell | 8-12 weeks | Medium | Partial | Yes (Bristol) | From GBP 25,000 | | Futurice UK | 10-16 weeks | High | No | Yes (London) | From GBP 50,000 | | Potato | 10-14 weeks | Medium | No | Yes (London) | From GBP 30,000 | | Moov2 | 6-10 weeks | Low-Medium | Partial | Yes (Remote UK) | From GBP 15,000 | | Liqid | 8-12 weeks | Medium | No | Yes (London) | From GBP 20,000 | | Sigma Labs | 6-12 weeks | High | No | Partial (UK/EU) | From GBP 30,000 | | Miquido UK | 10-16 weeks | Medium | Partial | Partial (UK/Poland) | From GBP 20,000 | | Mint Digital | 8-14 weeks | Medium | No | Yes (London) | From GBP 30,000 | | Ustwo | 12-20 weeks | Low-Medium | No | Yes (London) | From GBP 60,000 |
1. SpeedMVPs -- Best for Fixed-Price AI MVP in 2-3 Weeks
SpeedMVPs is a Hemel Hempstead-based agency specialising exclusively in AI-powered MVP development on fixed-price, fixed-timeline contracts. Their focus is narrow: they build AI MVPs using Next.js, Python, AWS, and LangChain/Claude AI, and they deliver within 2-3 weeks. Every engagement includes full code ownership transfer, GDPR compliance by default, and a production-ready deployment rather than a proof of concept. Pros: Fastest documented delivery of any UK agency on this list (2-3 weeks, not 2-3 months); fixed price eliminates billing surprises; AI-native stack (LangChain, OpenAI, Claude, vector DBs); production-ready output with CI/CD included; GDPR + EU AI Act compliance built in; full code ownership; UK-based team. Cons: Scope must be well-defined upfront -- exploratory or research-heavy projects are not a fit; does not offer ongoing retainer development beyond the MVP phase (though they can connect you with partners); smaller team than enterprise agencies means capacity is limited. Best for: Founders with a clear product idea who need a working, deployable AI MVP within a month. Series A companies building internal AI tooling on a defined budget.
2. Gravitywell -- Best for Design-Led AI Products
Bristol-based Gravitywell combines strong UX design capability with solid full-stack development. Their AI work leans toward LLM integration into existing products and well-designed consumer apps. They are B Corp certified, which matters to some enterprise clients. Pros: Exceptional UX/UI quality; strong track record in health and public sector; B Corp certified; UK-based team; genuine product thinking alongside engineering. Cons: 8-12 week delivery cycle is slower than specialist MVP shops; pricing is enterprise-oriented; AI/ML depth is moderate (primarily API integration, not custom model work); not fixed-price by default.
3. Futurice UK -- Best for Enterprise AI Transformation
Futurice is a Finnish-origin consultancy with a substantial London office. They deliver large-scale AI transformation programmes for FTSE 250 companies and public sector bodies. Their technical capability is high but their engagement model is designed for organisations with dedicated procurement teams. Pros: Deep AI/ML engineering capability; excellent compliance and governance track record; strong ethical AI framework; substantial team with specialist skills. Cons: Minimum engagement size typically GBP 50,000+; delivery timelines are long (10-16 weeks for MVP scopes); not designed for seed or Series A startups; no fixed-price model.
4. Potato -- Best for Data-Intensive AI Applications
London-based Potato has built AI-adjacent products for Google, Channel 4, and various scale-ups. Their strength is in data pipeline engineering and integrating ML models into content or media products. Pros: Proven experience with Google Cloud AI services; strong data engineering capability; long client relationships signal quality delivery; UK-based with remote-first culture. Cons: Not a startup-first agency -- their processes suit teams with product managers and dedicated QA; no fixed-price model; AI work is often embedded within larger digital transformation projects.
5. Sigma Labs -- Best for Deep ML and AI Research Commercialisation
Sigma Labs operates across the UK and EU, focusing on turning research-stage AI into commercial products. They work with university spin-outs, deep-tech startups, and R&D-stage companies. Pros: Genuine ML/AI research capability (not just API integration); strong academic partnerships; experienced with grant-funded innovation projects; good fit for high-risk, high-IP work. Cons: Timelines reflect research complexity -- MVPs take 10-16 weeks minimum; cost is high; not suitable for standard SaaS or LLM-wrapper products; UK/EU hybrid team means coordination overhead.