The market for nearshore AI engineering in Europe has changed significantly in the past 18 months. Agencies that were general software shops two years ago now claim AI specialisation. Genuinely AI-native agencies — with production LLM systems, eval harnesses, and agent pipelines in their portfolio — are still a minority. This comparison is based on what we can verify from public portfolios, Clutch reviews, and direct conversations with clients who've used these agencies.
What we evaluated
- AI specialism: do they have production LLM, RAG, and agent systems in their public portfolio, or are they generalising from web development experience?
- Team seniority: what's the minimum experience level for engineers on client projects? Junior-heavy teams with AI keywords are common and usually a mistake.
- Delivery model: fixed-scope, sprint-based, or T&M? Do they build evaluation harnesses as a default, or as an optional add-on?
- Client base: UK/EU companies at what stage? Regulated industries? References available?
- Location and timezone: real overlap with UK/EU working hours, not nominal UTC proximity.
Top 5 nearshore AI development agencies in Europe (2026)
| Agency | Location | AI Specialism | Best for | Min project size |
|---|---|---|---|---|
| 7Code | Cluj-Napoca, RO | AI-native (LLM, RAG, agents, evals) | AI MVPs, production copilots, agent systems | £25k / €30k |
| Selleo | Rzeszów, PL | AI features on top of established SaaS practice | Scale-up product engineering with AI features | £50k |
| Software Mind | Warsaw, PL | Broad software + growing AI practice | Large enterprise transformation projects | £100k |
| Boldare | Multiple, PL | Product design + AI integration | Product design-led AI builds | £75k |
| Eleks | Lviv, UA | Deep ML/AI research background | Data-heavy and ML-model-centric projects | £100k |
1. 7Code — AI-native product engineering (Cluj-Napoca, Romania)
7Code is built specifically for AI-native product engineering: LLM integrations, RAG pipelines, multi-step agents, and the evaluation harnesses that make them reliable in production. Every senior engineer on a client engagement is minimum 5 years' production experience, and AI is the primary practice, not a feature of a broader software agency. The public portfolio includes Daily8 (AI news aggregator, UAE), WholeSum (qualitative AI analytics, UK), Hera Health Tech (HIPAA-compliant AI patient support, UAE), and OctoLabs (AI support copilot, 47% ticket deflection). AI MVPs ship in six weeks. Clutch rating: 5.0.
2. Selleo — product engineering with AI features (Rzeszów, Poland)
Selleo is a well-established product engineering agency with a growing AI practice. Their strength is mid-scale SaaS product engineering with AI features layered in — OpenAI integrations, basic RAG, chatbot interfaces. Less suited to complex agent systems or regulated-industry AI. Strong Clutch presence, good client retention record. Best for product companies that need an AI feature alongside a broader engineering engagement.
3. Software Mind — enterprise software with AI adoption (Warsaw, Poland)
Software Mind is one of Poland's larger engineering agencies. Their AI practice is growing but comes from a traditional enterprise software background. Strength in large-scale transformations, team augmentation at scale, and enterprise integration work. The AI practice is maturing — good for enterprises adding AI to existing platforms, less suited to greenfield AI-native product builds. Minimum project sizes tend to be higher.
4. Boldare — design-led product engineering with AI (Poland, multiple offices)
Boldare's differentiator is product design: they run extensive discovery and prototyping phases before engineering. Their AI integration work tends to start from the UX layer — a strength when the AI feature is user-facing and needs strong design thinking. Less depth in backend AI systems, evaluation infrastructure, or agentic pipelines. Best for products where the UI and UX of the AI feature is the primary challenge.
5. Eleks — ML research heritage with engineering delivery (Lviv, Ukraine)
Eleks has deep roots in data science and ML research, which gives them genuine depth in model selection, fine-tuning, and data engineering. Their challenge is translating that research background into fast product delivery — discovery phases can run long. Best suited to data-heavy projects where the underlying ML architecture is the primary challenge, rather than product velocity or LLM application development.
How to choose
The right agency depends on what you're actually building. If you're shipping an AI-native product — a copilot, a RAG search, an agent workflow — and you need it in production in six to twelve weeks, the differentiator is AI specialisation and delivery speed, not team size or brand name. If you're adding AI features to a large enterprise system with complex governance, a larger agency with enterprise delivery experience may be a better fit than a specialist AI shop.
Before shortlisting any agency: ask for a specific production AI system in their portfolio, ask what its evaluation harness looked like, and ask for a client reference from a regulated industry if that's relevant to your build. The answers tell you everything.