Best AI Agents Agencies for Healthcare (November 2026)

London, United Kingdom

Client evidence: 3 documented clients overall

Best for: Enterprises and public bodies that need AI deployed under regulatory or safety scrutiny.

Wrocław, Poland

Client evidence: 6 documented clients overall

Best for: Mid-market operators putting an agent inside a product or a clinical workflow, where output has to be validated before it ships.

Munich, Germany

Client evidence: 2 documented clients overall

Best for: Industrial enterprises running an AI program that has to satisfy governance as well as engineering.

Vilnius, Lithuania

Client evidence: 3 documented clients overall

Best for: Public agencies and donor-funded programs that need an AI system designed, procured and delivered inside EU rules.

Warsaw, Poland

Client evidence: 5 documented clients overall

Best for: Banks, insurers and credit funds automating a defined back-office or sales workflow on a platform already run in production.

Munich, Germany

Client evidence: 6 documented clients overall

Best for: Manufacturers automating one inspection station or technical-document search on an existing line, not buying an open-ended AI program.

Warsaw, Poland

Client evidence: 3 documented clients overall

Best for: Operations teams that want automation bought against a payback number, especially in healthcare revenue cycle.

Stockholm, Sweden

Client evidence: 12 documented clients overall

Best for: Product teams that need a model shipped into production, from clinical retrieval to real-time vision on constrained hardware.

Alicante, Spain

Anadea is a software development firm headquartered in Alicante, founded in 2000, running an AI department it dates to 2019. Its AI work covers agentic systems, LLM applications, and automation for product companies.

Alicante, Spain

Tensorway is an Alicante AI development firm founded in 2019, building AI agents, machine-learning models and document-processing systems for legal, financial and software clients.

Cluj-Napoca, Romania

Client evidence: 4 documented clients overall

Best for: Founders who need a compliant retrieval-grounded product built and shipped in months, at a rate that leaves budget for the next iteration.

Berlin, Germany

Client evidence: 7 documented clients overall

Best for: Product owners adding AI to an app that already has users, rather than starting from a model.

Cluj-Napoca, Romania

Client evidence: 3 documented clients overall

Best for: Founders and product owners who want an AI product validated and shaped before it is built, not just engineered to a spec.

Poznań, Poland

Client evidence: 8 documented clients overall

Best for: Product owners modernizing a platform who want AI inside the delivery process and in selected features, not a model built from scratch.

Poznań, Poland

Client evidence: 5 documented clients overall

Best for: Python-heavy teams that need senior engineers now, with AI built into how the work is delivered and reviewed.

London, United Kingdom

Client evidence: 8 documented clients overall

Best for: UK enterprises, charities and public bodies already on Microsoft 365 and Azure that want Copilot adopted and governed.

Cluj-Napoca, Romania

Client evidence: 4 documented clients overall

Best for: Companies shipping a mobile or web product, including AI products that need everything around the model built properly.

Kraków, Poland

Client evidence: 3 documented clients overall

Best for: Founders shipping a consumer product that needs an AI feature designed, built and released inside one small team.

Gdańsk, Poland

Neoteric is a Gdańsk software company founded in 2005, building generative AI and language-model applications alongside custom product development. Clutch named it a top artificial intelligence and generative AI company in 2023.

London, United Kingdom

Client evidence: 5 documented clients overall

Best for: Early-stage B2B product teams and smaller UK or Irish firms scoping a first voice agent, agent pipeline or Claude rollout.

Valletta, Malta

Client evidence: 5 documented clients overall

Best for: Small firms and startups that want one embedded engineer to wire an LLM or agent into their existing tools on a modest budget.

Birmingham, United Kingdom

Wolf Logic is a West Midlands software company that rebuilt its delivery around an in-house AI orchestration platform, working on custom systems, legacy modernization and agent workflows for healthcare, industrial and public clients.

Lyon, France

Client evidence: 6 documented clients overall

Best for: French mid-market firms adding a document-analysis or automation layer to a SaaS or internal platform they already operate.

London, United Kingdom

Push Group is a London performance marketing agency with an in-house innovation lab building AI agents, running generative engine optimization and AI-assisted research alongside paid media and SEO.

Barcelona, Spain

AlamedaDev is a Barcelona AI development studio building agentic AI, retrieval-augmented generation and document and audio intelligence systems.

London, United Kingdom

Client evidence: 2 documented clients overall

Best for: UK small businesses that want a working system and a named person answering the phone.

Paris, France

Upscale Paris is a Paris AI consultancy working on operating-model change, from AI strategy and governance through prototype builds to adoption programs inside client teams.

Zagreb, Croatia

Notch is a European AI-native product engineering company for mid-to-large enterprises. We build AI models, agents, and enterprise-grade custom software products. What do we do? 1. AI-native software development. We build new software products from scratch and modernize legacy applications. Senior engineers direct coding agents across the full lifecycle, from discovery to deployment and beyond. 2. Agentic systems. Autonomous agents built with architecture, testing discipline, and human oversight in place from the start. Entry points include an AI proof of concept and an AI minimum viable product. 3. Custom AI models. Purpose-trained models scoped to a specific business case. They outperform general-purpose models on accuracy, latency, data sovereignty, and running cost. 4. AI strategy consulting. The work before the build, turned into build-ready blueprints. Delivered as an AI Discovery Workshop or an AI Audit. 5. Agentic Experience Design. Designing how people work with agents across screen, chat, and voice. We make agent behavior transparent, controllable, and safe to delegate to. Who do we work with? Enterprise and mid-market companies with business-critical systems and a real engineering standard to meet. Typical clients have in-house technology teams and need depth those teams don't have on staff. Problems Notch is hired to solve "We know AI belongs in this process. We do not know what changes around it." An AI Discovery Workshop or AI Audit maps the process, the data behind it, and the operating model that has to change with it. Output is a build-ready blueprint. "An internal team built a working AI prototype. Now it has to run in production." A code and architecture review, a security and data isolation assessment, an evaluation baseline, and a decision on what to keep and what to rebuild. Then the production build, with the same team staying on. "Our core system is old, and every change takes a quarter." Agents map the codebase in days, not mon

Budapest, Hungary

Client evidence: 3 documented clients overall

Best for: Hungarian companies on Microsoft Dynamics 365 or Azure that want AI added inside the ERP, CRM and data systems they already run.

Prague, Czech Republic

HLACIK is a Prague AI engineering boutique building edge computer vision, conversational agents and signal-analysis systems for public-safety, healthcare and enterprise clients.