Top 12 AI Agencies in Spain: 2026 List

Spain has become a fairly active place for AI services, and not only in the obvious big-city tech circles. Agencies here work across automation, data science, machine learning, product development, and marketing support, often with a mix of local market knowledge and broader international work. Some are highly technical. Others are more focused on business process changes, which is often where the real value shows up anyway.

That variety is what makes the space worth looking at closely. One company may be better suited for custom AI software, while another may be stronger in workflow automation, analytics, or implementation support for existing teams. So this is less about chasing a trendy label and more about understanding how different agencies actually work. In Spain, that difference can be pretty noticeable.

1. AI Superior

AI Superior is an AI services agency focused on consulting, custom development, and applied research. Our work covers the full path from early assessment to implementation, with projects built around machine learning, software development, and data-driven decision support. A lot of our positioning comes from technical depth and structured delivery, so our company performs as a specialist team working on complex AI systems. We provide our services in a lot of countries including Spain.

Process is a big part of how we operate. Work usually starts with discovery and data review, then moves through MVP development, integration, and result evaluation. Alongside custom products, we support training, research, and internal AI adoption. Industry coverage is broad, which suggests we are used to adapting models and software to different business environments rather than relying on one narrow product line.

Key Highlights:

• Focuses on end-to-end AI development and consulting
• Combines software delivery with research and training
• Uses a structured workflow from discovery to evaluation
• Works with machine learning models and custom applications
• Covers a wide range of industry contexts

Services:

• AI software development
• Artificial intelligence consulting
• Artificial intelligence training
• Artificial intelligence R&D
• Computer vision and image processing
• Natural language processing
• Predictive analytics
• BI solutions
• Big data analytics
• AI integration and deployment

Contacts:

• Website: aisuperior.com
• Phone: +49 6151 3943489
• Email: [email protected]
• Address: Robert-Bosch-Str. 7, 64293 Darmstadt, Germany
• LinkedIn: www.linkedin.com/company/ai-superior
• Facebook: www.facebook.com/aisuperior
• Twitter: x.com/aisuperior
• Instagram: www.instagram.com/ai_superior

2. Gamco

Gamco is an AI company centered on predictive models, advanced business software, and applied data use inside existing business systems. Their work appears to be built around helping companies turn internal data into practical decision tools, with a strong focus on integration, confidentiality, and non-disruptive deployment. Instead of treating AI as a standalone layer, they frame it as software that should fit business operations without adding unnecessary friction.

Consulting, software development, and implementation support all sit within their model. A recurring theme in their positioning is customized work based on the current state of a company, especially around decision-making, data use, and process automation. Their products and methods seem closely tied to business analysis and predictive behavior, which gives the company a fairly applied, business-software profile rather than a research-heavy one.

Key Highlights:

• Focuses on predictive models and business software
• Connects AI work to internal company data and processes
• Emphasizes integration with existing systems
• Combines consulting, development, and implementation support
• Works across Spain, Europe, and Latin America

Services:

• AI consulting
• Predictive model development
• Advanced business software development
• AI implementation support
• Data capture and exploitation
• Process automation
• Decision support systems
• SaaS-based AI deployments

Contacts:

• Website: gamco.es
• E-mail: [email protected]
• LinkedIn: www.linkedin.com/company/gamco_2
• Twitter: x.com/gamcosl
• Phone: +34 915 211 650

3. Singleton Techs

Singleton Techs is a software and infrastructure engineering firm working across cybersecurity, AI, and automation. Their positioning is strongly technical and built around secure architectures, private AI models, and process orchestration for companies with critical systems. Rather than presenting themselves as a general AI consultancy, they frame the company around control, resilience, and reducing operational friction inside digital environments.

A clear part of their identity is the link between AI and infrastructure protection. Private generative AI systems, RAG environments, API integrations, automation flows, Zero Trust architecture, and continuity planning all sit within the same engineering approach. That makes their work feel less like surface-level automation and more like deep operational design for businesses that care about governance, internal control, and secure deployment.

Key Highlights:

• Combines AI, automation, and cybersecurity in one technical model
• Focuses on private AI systems and secure infrastructure
• Works with critical business environments and internal data
• Uses an engineering-led approach with architectural oversight
• Connects automation work to resilience and compliance needs

Services:

• Cybersecurity consulting
• Zero Trust architecture
• Disaster recovery and continuity planning
• AI implementation
• Private generative AI systems
• RAG system development
• Data engineering
• Process automation
• API integrations
• Cloud and infrastructure architecture

Contacts:

• Website: singletontechs.com
• E-mail: [email protected]
• Instagram: www.instagram.com/singletontechs
• LinkedIn: www.linkedin.com/company/99105147
• Twitter: x.com/singleton_tech 
• Phone: (+34) 623 96 91 82

4. Tensorway

Tensorway is a custom AI development company focused on building digital products, machine learning systems, and applied AI solutions for business use cases. Their material leans heavily on practical examples, which gives a clearer sense of the company than broad positioning statements usually do. Much of their work seems to sit at the point where a business problem needs a trained model, a working application, and a team that can shape both together.

Computer vision, deep learning, NLP, AI agents, and custom product development are all part of the mix. Case studies and use cases suggest a company that works through specific operational problems such as document handling, content generation, predictive analysis, and review workflows. There is a direct, product-oriented feel to how they present the business, with attention on what the model or system actually helps teams do in daily work.

Key Highlights:

• Focuses on custom AI development and digital products
• Works across machine learning, NLP, and computer vision
• Uses use-case-driven project framing
• Builds AI agents and practical workflow tools
• Connects model development with product implementation

Services:

• Artificial intelligence development
• Software development
• Natural language processing
• Machine learning
• Deep learning
• Computer vision
• Generative AI
• ChatGPT solutions
• AI chatbot development
• AI consulting
• Custom AI solution audit
• AI agents

Contacts:

• Website: www.tensorway.com
• E-mail: [email protected]
• Instagram: www.instagram.com/tensorway
• LinkedIn: www.linkedin.com/company/tensorway
• Twitter: x.com/tensorway 
• Phone: +1 (302) 261-2894

5. Morpheon

Morpheon is a creative and technology agency that blends branding, digital product work, and development services, including app development with artificial intelligence. Their overall profile is broader than a pure AI firm, since design, websites, user experience, and brand work are a large part of the company as well. AI sits inside that wider digital offering rather than defining the whole business on its own.

That broader mix suggests a company working at the intersection of product design and technical execution. For businesses that need AI features inside apps or digital platforms, their role appears to be closer to a creative-tech partner than a specialized research or infrastructure team. Geographic reach and cross-border project work are also part of the picture, which gives the company an international operating style with a strong design layer.

Key Highlights:

• Combines creative agency work with technical development
• Includes AI app development within a broader digital offering
• Works across apps, websites, branding, and UX
• Operates with a European and international project mix
• Positions AI as part of product and experience design

Services:

• App development with artificial intelligence
• Application development
• Website development
• Website revamp
• E-commerce development
• Branding
• UX and UI design
• Graphic and editorial design
• WordPress website development
• Marketing strategy and funnels
• Experience design

Contacts:

• Website: www.morpheon.co
• E-mail: [email protected]
• Instagram: www.instagram.com/morpheon.studio
• LinkedIn: www.linkedin.com/company/morpheon-studio
• Facebook: www.facebook.com/morpheon.studio
• Phone: +34 930 49 24 22

6. Whitespectre

Whitespectre approaches emerging technology through an internal lab model focused on experimentation, validation, and proof-of-concept work. Their AI-related activity sits inside a wider product and engineering practice, where new ideas are tested quickly, refined, and sometimes turned into internal tools, client-facing insights, or full products. That gives the company a product-minded, exploratory profile rather than a standard agency structure.

A lean MVP approach seems central to how they work. Instead of waiting for formal client demand before developing expertise, they use internal experiments to build practical knowledge that can later support client work. AI-driven products are one visible part of that process, alongside web, mobile, backend, and IoT work. Overall, the company reads as a team that uses experimentation as part of delivery, not as a side activity.

Key Highlights:

• Uses an internal lab model for emerging technology work
• Explores AI through experimentation and proof-of-concept building
• Connects innovation work with client product development
• Applies a lean MVP approach to new ideas
• Combines AI with a broader engineering and product practice

Services:

• Engineering and architecture
• Design
• Strategy
• Executive leadership support
• Web application development
• Mobile application development
• Backend platform development
• IoT solutions
• AI-driven product development

Contacts:

• Website: www.whitespectre.com
• Instagram: www.instagram.com/whitespectrehq
• LinkedIn: www.linkedin.com/company/whitespectre
• Twitter: x.com/whitespectrehq

7. Narrativa

Narrativa works at the point where AI, structured content generation, and regulated documentation meet. Their core work is focused on life sciences organizations that need to produce large volumes of complex written material for regulatory and commercialization processes. In practice, that means building AI systems that turn clinical and business data into documents such as study reports, patient narratives, submissions, and other content that has to stay consistent, accurate, and compliant. Mainly, their approach is built around workflows where language has to follow strict rules and where review cycles, traceability, and reliability matter as much as speed.

A big part of their work seems to be designing AI agents and platform components that fit directly into pharmaceutical and biotech operations. That includes connecting data sources, structuring knowledge, and supporting teams that need documentation at scale without losing control over format or compliance requirements. Their background in automated storytelling is still visible, but the company’s current direction is much more specialized. Instead of using AI to produce broad marketing or editorial content, they apply it to regulated environments where content generation is closer to an operational process than a creative one.

Key Highlights:

• Focuses on AI for pharma, biotech, and life sciences
• Builds systems for high-volume documentation workflows
• Works in regulatory and commercialization environments
• Uses agentic AI for structured content generation
• Connects language generation with compliance-focused processes

Services:

• Agentic AI solutions for life sciences
• Regulatory document generation
• Commercial content generation
• Clinical study report support
• Patient narrative generation
• Regulatory submission support
• AI agents for documentation workflows
• Knowledge graph-based content systems
• Compliance and privacy-focused AI infrastructure

Contacts:

• Website: www.narrativa.com
• E-mail: [email protected]
• Instagram: www.instagram.com/narrativaai
• LinkedIn: www.linkedin.com/company/9329868
• Twitter: x.com/NarrativaAI
• Facebook: www.facebook.com/narrativaai
• Address: Calle Impresores, 20, Parque Empresarial Prado del Espino, 28660 Boadilla del Monte, Madrid

8. Luzia

Luzia is an AI company built around a consumer assistant product rather than a typical agency or consulting model. Basically, their work is focused on making AI usable in everyday situations through chat, writing help, translation, image tools, transcription, learning support, and personal organization. What stands out is the way they reduce complexity in the product itself. Instead of asking users to learn technical workflows or prompt structures, they build around ease of use, conversational access, and broad availability across devices and platforms.

Their approach is clearly product-first and user-centered. A lot of the work behind the company seems to go into making AI accessible to people who are not experts and may not even think of themselves as regular AI users. Privacy is part of that operating model too, with attention given to protected conversations and data handling. So while many AI companies focus on enterprise systems or custom development, Luzia is working on the consumer side of the space – building an assistant that fits into daily routines and lowers the barrier to using AI at all.

Key Highlights:

• Focuses on consumer AI assistance
• Builds around ease of use and broad accessibility
• Covers everyday tasks such as writing, learning, and organization
• Operates as a product company rather than a consulting firm
• Gives strong attention to privacy and protected conversations

Services:

• AI chat assistance
• Writing support
• Translation
• Coding help
• Explanations and learning support
• Transcription
• Image generation
• Image-based assistance
• Cross-platform AI assistant access
• Custom AI character features

Contacts:

• Website: www.luzia.com
• Instagram: www.instagram.com/luzia.en
• LinkedIn: www.linkedin.com/company/luzia-ai
• Twitter: x.com/luzia_es

9. Xplore.ai

Xplore.ai performs in a more analytical and experimental part of the AI space. Their main focus is helping companies use data more proactively by building experimentation systems, supporting predictive analytics, and improving the connection between business decisions and measurable outcomes. Instead of collecting data just because it is available, they push toward a model where companies define hypotheses, run experiments, and relate those experiments directly to business KPIs. That gives their work a practical business-analysis angle rather than a purely technical one.

Generally, their service model blends software, consulting, and methodology. On one side, they provide an experimentation platform that helps companies run tests, track results, and connect changes to performance. On the other, they work with teams to build the internal mindset needed for experimentation, causal analysis, and data-led product improvement. Predictive analytics is part of that mix too, but it is framed as one tool inside a broader process of learning from data. In that sense, their approach is less about delivering a single AI product and more about helping companies work in a more systematic, evidence-based way.

Key Highlights:

• Focuses on experimentation and proactive data use
• Connects business hypotheses with measurable KPIs
• Combines software with consulting and team methodology
• Uses analytics as part of decision-making, not just reporting
• Works across experimentation, causal inference, and predictive modeling

Services:

• Experimentation platform setup
• Experimentation strategy and consulting
• KPI-linked testing frameworks
• Causal inference consulting
• Causal inference workshops
• Predictive analytics
• Data cloud solutions
• Machine learning product prototyping
• Data collection and monitoring systems

Contacts:

• Website: www.xplore.ai
• E-mail: [email protected]
• Instagram: www.instagram.com/xplore.ai
• LinkedIn: www.linkedin.com/company/xplore-ai
• Twitter: x.com/xploreai
• Address: Calle Gran Vía, 28, Planta 8 (Wayra) – 28013 Madrid

10. GeneticAI

GeneticAI is a technology company working in applied AI with a clear domain focus on health, active aging, and precision agriculture. Their projects suggest a company that develops AI around specific real-world problems rather than broad generic business software. From surgical training and rehabilitation support to crop monitoring and robotics for agriculture, their work sits close to specialized use cases where AI is combined with health technology, environmental data, and operational decision support.

Such a specialized approach shapes the company’s services and direction. Instead of covering every possible AI category, they seem to concentrate on a smaller set of fields where tailored models, intelligent assistants, and applied research can be turned into usable solutions. Health-related systems and agri-tech tools appear to be the strongest part of that work. There is also a research and innovation layer behind the company, which makes sense given the mix of funded projects, collaborative environments, and domain-specific development they present.

Key Highlights:

• Focuses on health, active aging, and precision agriculture
• Works on applied AI projects tied to specific sectors
• Combines AI with robotics, training, and rehabilitation use cases
• Operates in a research-driven and innovation-focused model
• Builds around domain-specific technology rather than broad AI services

Services:

• AI solutions for health
• Active aging technology
• Precision agriculture solutions
• Intelligent assistant development
• Surgical training technology
• Rehabilitation support systems
• Crop management tools
• Pest control systems
• Robotics-based agricultural solutions

Contacts:

• Website: www.genetic.ai
• E-mail: [email protected]
• Address: Campus UPM de Montegancedo, 28223 Pozuelo de Alarcón, Madrid, Spain

11. Performanze

Performanze builds custom digital systems that combine data infrastructure, AI agents, and business operations into one working setup. Their core idea is not to sell isolated tools, but to create what they call tailor-made systems that connect product, operations, revenue, and decision-making. In practice, that means designing custom SaaS environments, unifying scattered business data, and putting AI agents on top of that foundation so they can actually perform work inside the company’s processes. Their work is less about standalone automation and more about shaping an operating system around how a business already runs.

A strong operational angle runs through the whole company. Revenue systems, marketing, sales, customer success, and internal workflows all seem to be treated as connected parts of the same structure rather than separate departments with separate tools. That is why their approach puts so much weight on having one core data model before layering AI agents into the workflow. Instead of adding chatbots or assistants in isolation, they aim to build systems where agents can collect information, act on business rules, execute tasks, and report results using the same data environment. That makes their work feel much closer to business system design than to standard agency delivery.

Key Highlights:

• Builds custom digital systems around data and AI agents
• Focuses on connecting operations, revenue, and product workflows
• Uses a unified data model as the basis for AI execution
• Designs custom SaaS environments instead of generic software stacks
• Applies AI agents to marketing, sales, and customer success processes

Services:

• Custom SaaS system design
• Unified data core development
• AI agent implementation
• Revenue operations systems
• Marketing process automation
• Sales workflow automation
• Customer success system support
• Business dashboards and reporting
• Data model design
• Growth system design

Contacts:

• Website: www.performanze.com
• E-mail: [email protected] 
• Phone: +34 963 069 189

12. Hike & Foxter

Hike & Foxter works across data, AI, and technology with a strong focus on digital process improvement and customer-facing operations. Their work appears to be especially tied to analytics, CRM systems, automation, and the use of data to improve how companies manage relationships with users and customers. Rather than treating AI as an isolated function, they place it inside a broader model where data collection, system integration, reporting, and activation all support better business processes and more tailored digital experiences.

A lot of their services revolve around making business information more usable across teams. That includes building analytics layers, enriching data environments, centralizing customer information, implementing CRM tools, and automating marketing, sales, and service flows. AI is part of that structure as a way to optimize decisions and reduce operational drag, but it works alongside measurement frameworks and digital consulting rather than replacing them. In practical terms, their approach is about helping companies mature digitally by tightening the connection between data, technology, and the actions taken from both.

Key Highlights:

• Combines data, AI, and technology consulting
• Focuses on digital maturity and process efficiency
• Works heavily with analytics, CRM, and automation systems
• Connects data collection with activation across business functions
• Supports customer experience through integrated digital operations

Services:

• Digital analytics consulting
• AI process optimization
• CRM implementation
• Marketing automation
• Sales automation
• Customer service automation
• Data integration
• AI enrichment
• 360 customer view development
• Visualization and reporting
• Digital strategy support
• Technology optimization

Contacts:

• Website: hikefoxter.com
• E-mail: [email protected]
• Address: Mallorca 184, 08036, Barcelona, Spain
• Phone: +34 (930) 34 17 11

Final Thoughts

Spain’s AI agency landscape is not one neat category, and that is probably the most useful thing to understand. Some teams are building around data systems and automation. Others are much closer to product development, regulated documentation, analytics, or customer operations. On paper they may all sit under the same label, but in practice they solve very different problems.

That is why the better choice usually comes down to fit, not hype. A company trying to improve internal workflows will need something different from one dealing with compliance-heavy content, digital maturity, or consumer-facing AI products. In Spain, there seems to be a pretty wide spread between those approaches, which is actually a good sign. It means businesses are not limited to one style of provider. They can look for a team that matches the kind of work they really need done, which is usually a lot more helpful than picking whoever sounds the most futuristic.