Top 9 MLOps Consulting Firms in Spain to Watch in 2026

Many Spanish organizations struggle to move machine learning projects from prototype to reliable production, encountering gaps in automation, monitoring, model governance, and cross-team workflows. These challenges can increase time to value and operational risk for ML initiatives.
Buyers should compare deployment automation, CI/CD for models, observability and drift detection, data governance and regulatory compliance, cloud and on-prem integration strategies, team skill mix, and ongoing support and training. SoftPro serves buyers across Spain as an international partner and leads this list as the featured firm.

1. SoftPro

As the featured international partner on this Top 10 MLOps Consulting Firms in Spain list, SoftPro leads readers toward production-focused MLOps engagements for enterprise data teams, scale-ups, and migration-driven projects seeking delivery in Spain and across Europe. The firm’s engagement model supports pilot-to-production ML deployments and long-term engineering partnerships that align with cross-border delivery requirements in the Spanish market.

The team builds MLOps foundations on Microsoft technologies including .NET, ASP.NET Core and C#, and runs cloud and AI projects on Azure. SoftPro also executes enterprise CMS work and migrations and maintains end-to-end deployment pipelines for production systems. Headquartered in Warsaw, Poland.

Key Highlights

• More than 20 years of combined team experience across client projects.
• Production AI capability that integrates large language models and retrieval-augmented generation into business workflows.
• Published case studies covering CRM/HRM portals, a SaaS ETL platform, customer support systems and a community gamification application.
• Executes multi-cloud migrations and containerization on Azure and AWS, including lift-and-shift and cloud-native refactors.

Services

• Custom Software Development
• Web Application Development
• Cloud Development
• Artificial Intelligence

Contact Information

Website: soft-pro.pl

Phone: +48 571 282 759

Address: Poland, Warsaw, Mazowieckie Voivodeship, 13 Erasmus Ciołka St. 401

LinkedIn: www.linkedin.com/in/kyrylo-o

2. Stratio

Stratio builds Decision Intelligence software that layers a governed semantic control plane on top of existing data lakes, warehouses and pipelines to make AI-driven decisions explainable, auditable and deployable without moving or duplicating data. The platform maps technical data to business semantics, enforces lineage and policy at the architecture layer, and activates governed data for copilots, automation and enterprise decisioning.

Stratio operates a local delivery presence in Europe and lists a Madrid office, which supports MLOps consulting work in Spain by pairing partner-led delivery with platform capabilities for model packaging, versioning, productivization, monitoring and observability. This combination lets consultants operationalise compliant model lifecycles while preserving data residency and regulatory controls.

Key Highlights

• Stratio is certified under ENS High, ISO/IEC 27001 and ISO/IEC 42001, demonstrating formal information security and governance controls.
• The partner and training program reports 1000+ consultants certified through Stratio Academy, with courses available in English and Spanish.
• Stratio’s “Stratio AI Artificial Intelligence Certification” explicitly covers the MLOPs lifecycle, model packaging and versioning, model monitoring and observability, and references the Statio Rocket module.
• The platform can be deployed on public cloud, private cloud or on-premise to meet regulated operational and sovereignty requirements.

Services

• Connect & Virtualize
• Model Business Semantics
• AI Decisioning
• Migration Centre of Excellence

Contact Information

Website: stratio.ai

Address: Paseo de la Castellana 43, 28046 Madrid, Spain

Phone: +57 316 0269887

Email: privacy@stratio.com

Email: legal@stratio.com

3. Sngular

Sngular is a Madrid‑based technology group that combines Data & AI, cloud integration, and product engineering to deliver production machine learning and generative AI solutions for enterprise clients. The company pairs its Sngular Gen initiative and Sngular LABs experimentation with cloud‑native delivery to accelerate model deployment and agentic AI workflows for business use cases.

Sngular fits this MLOps list because it bridges engineering squads and AI R&D to move models from prototype to production, emphasizing automated delivery, cloud integration, and developer tooling for operational ML at scale.

Key Highlights

• Signed a strategic Google Cloud partnership announced on September 5, 2024 to deliver cloud‑native modernization and GenAI integration.
• Public offering describes managing the lifecycle of generative models (LLM, TTS, STT, and multimodal) covering deployment, fine‑tuning, publishing, guardrail management, separate workspaces, and vector database support.
• Employs 1,300+ professionals across multiple countries and serves 500+ clients, per company figures presented on its site.
• Integrated AMS Solutions in April 2026 to strengthen managed services and AI‑assisted software development capabilities.

Services

• Data & AI
• Model lifecycle management
• Cloud‑native modernization
• AI governance & data strategy

Contact Information

Website: www.sngular.com

Email: comunicacion@sngular.com

Address: Calle Labastida 1, 28034 Madrid, Spain

4. Paradigma Digital

Paradigma Digital is a Spanish digital engineering consultancy that builds data‑centric products and operationalizes machine learning models into production using cloud‑native architectures. The firm combines data engineering, product development, and DevOps practices to support scalable ML deployments for enterprise clients in Spain.

Its delivery model emphasizes data‑centric platforms, end‑to‑end ML implementation, and cloud portability to move models from experimentation to CI/CD pipelines and sustained production monitoring. Paradigma’s teams and tooling approach align with MLOps needs for ingestion, training, deployment, and lifecycle maintenance.

Key Highlights

• More than 600 professionals and a track record of working with around 120 clients, per the company’s About page.
• Maintains an official TensorFlow practice that delivers AI on Premise, AI on Cloud, and AI as a Service.
• States it works with the three main cloud providers to accelerate development of cloud‑native ML platforms.
• Cloud‑native delivery explicitly includes containers, serverless, events, APIs, microservices, continuous delivery, and DevOps capabilities.

Services

• Data Intelligence
• Machine Learning & AI
• Cloud Native
• TensorFlow Engineering

Contact Information

Website: www.paradigmadigital.com

Phone: +34 91 352 59 42

Email: info@paradigmadigital.com

Address: Vía de las Dos Castillas, 33 - Ática 2 28224 Pozuelo de Alarcón - Madrid

5. Plain Concepts

Plain Concepts is a Spanish digital consultancy that operationalizes machine learning by applying software engineering and DevOps practices across the ML lifecycle. Their teams design reproducible training pipelines, model registries, CI/CD workflows, and runtime monitoring to move models from experiments into reliable production services.

They deliver MLOps using platform accelerators such as the Sidra Data Platform and by integrating open-source tools like MLflow and Seldon to run pipelines at scale on Azure and Databricks.

Key Highlights

• ISO 9001, ISO 27701, ISO 27001 and ISO 14001 certified.
• Recognized at Microsoft Inspire as Partner of the Year in Responsible AI and named a finalist in AI and Data & Analytics.
• More than 700 employees operating across 26+ delivery centers worldwide.
• 2,400+ projects delivered to enterprise clients.

Services

• AI transformation
• Data platform engineering
• Model monitoring & deployment
• AI product strategy

Contact Information

Website: www.plainconcepts.com

Phone: 915 34 68 36

Email: legal@plainconcepts.com

Email: info@plainconcepts.com

Address: C/ Gran Vía Don Diego López de Haro 1º, 8ª planta, 48001 Bilbao (Vizcaya), Spain

6. GMV

GMV is a Spanish technology group that designs and integrates machine learning and AI solutions across industry, automotive, space, healthcare, and intelligent transportation, delivering cloud-native platforms and real-time data pipelines for production and operational use. Its engineering-led teams combine software development, systems integration, and operational technology experience to move models from research into repeatable, monitored production deployments.

Key Highlights

• CMMI Level 5 certified for software development processes.
• Obtained ISO 42001:2024 certification for governance of its artificial intelligence systems.
• Signed a strategic alliance with Anyverse to use high-fidelity synthetic data and simulation for machine vision and AI training.
• Leads and participates in European R&D initiatives, including the CUCO quantum-computing project and the Tartaglia AI project named among the Top 100 AI Projects with a global impact.

Services

• GMV PitIA
• uSpot
• uPathWay
• uQuery

Contact Information

Website: www.gmv.com

Phone: +34 91 807 21 00

Address: Isaac Newton, 11. P.T.M., 28760 Tres Cantos, Madrid, Spain

7. Minsait (Indra)

Minsait is the Indra Group company for digital transformation and technology consulting, delivering enterprise-grade data science, model lifecycle management, and the continuous operation of intelligent models for large organisations. Its delivery model pairs consulting, proprietary accelerators, and cloud-native engineering to move models from proof-of-concept into production.

The company supports MLOps and LLMOps workflows and builds deployments on major hyperscalers including Azure, AWS, and Google Cloud. Minsait also embeds AI governance and responsible-AI practices into operational pipelines to address regulatory requirements such as the European AI Act.

Key Highlights

• >3,500 professionals in the AI & Data practice, serving 475 active clients across 10 countries.
• Azure Data & AI Partner of the Year (2021–2024) and AWS Rising Star Partner 2024 recognitions.
• WatsonX EMEA Partner 2024 and Google Cloud “Data Analytics Magicians” recognition in data analytics.
• Strategic partnerships include Soroco for Scout process intelligence, and project references for clients such as Iberdrola, SEAT, and Walmart.

Services

• AI & Data
• Cloud & Infrastructure
• Application Modernisation
• Intelligent Automation

Contact Information

Website: www.minsait.com

8. Tinámica

Tinámica designs and implements generative and predictive machine learning solutions and builds the operational pipelines that move models from experiment to production. The company combines open-source libraries with enterprise platforms to deliver scalable, explainable systems for sectors including tourism, banking, consumer goods, telecommunications and energy.

Engineering practices emphasize explainability, traceability and governance, and projects follow automated training, deployment and monitoring workflows to keep models reliable in production. This production-first engineering approach and cross-disciplinary teams make Tinámica a relevant comparator for MLOps consulting in Spain.

Key Highlights

• Tinámica has published Tinámica Generative Components (TGC), a reusable component collection built on LangGraph that accelerates modular generative-agent development.

• Tinámica presides over AMETIC's AI commission and advises public administrations on data and digitalization policy.

• The firm deploys an open-source machine learning stack that highlights Python, TensorFlow and PyTorch and integrates with vendor platforms from Amazon, Google, Oracle, IBM and Microsoft.

• Active R&D areas on the site include federated learning, Edge AI, digital twins, computer vision and natural language processing.

Services

• AI & MLOps

• Big Data & Data Engineering

• Data Governance

• Data Analytics

Contact Information

Website: www.tinamica.com

Address (Madrid): C/ Serrano 45, planta 6, 28001 Madrid, ESPAÑA

Phone (Madrid): +34 91 787 96 15

Email: info@tinamica.com

Address (Bogotá): Calle 99 No. 10-57, Edificio Ecotek, Bogotá DC, COLOMBIA

Phone (Bogotá): +57 1 3074071

Email (Colombia): infocolombia@tinamica.com

9. Hiberus

Hiberus is a Spanish technology consultancy that builds and operates production machine learning and data platforms through its Data & AI practice, combining model development, data engineering, and generative AI capabilities. The firm applies MLOps practices to deploy pipelines, manage model governance, and embed models into analytics and operational systems to scale machine learning across enterprises.

Their delivery model pairs in‑house engineering squads with a proprietary GenIA ecosystem and industry templates to accelerate RAG, document indexing, and model retraining for clients in the public sector, insurance, and healthcare.

Key Highlights

• AWS AI Services Competency awarded to Hiberus, recognising expertise in designing and operating AI solutions on Amazon Web Services.

• AWS Partner Premier Tier status listed among the firm’s differentiators.

• Recipient of AWS Best GenAI Architecture Award and GenAI Business Impact Award.

• Team of more than 25 generative AI specialists with over 12,000 hours invested in research, training, and projects.

Services

• Cloud Data Engineering

• Data Insights

• Generative AI

Contact Information

Website: www.hiberus.com

Phone: (34) 976 877 392

Email: info@hiberus.com

Address: Paseo Isabel la Católica, 6, 50009 Zaragoza, Spain

LinkedIn: linkedin.com/company/hiberus-tecnologia/

Conclusion

SoftPro is the featured, author-selected partner on this Top 9 list and is presented for readers interested in production-focused MLOps engagements for enterprise data teams, scale-ups, and migration-driven projects. When choosing among the firms, prioritize alignment with your organizational scale and sector requirements. Assess cloud and architecture fit, the maturity of MLOps automation, and the ability to integrate with your existing data stack. Also weigh regulatory and audit needs, long-term model maintenance and operational support, and whether you require capabilities such as decision intelligence or generative AI. Balance cost, delivery model, and local presence to select a partner that can move models from experiment into production on your timeline.