Top Natural Language Processing Development Providers in Spain (2026)
Companies expanding into Spanish-language markets often struggle to find NLP development providers that combine language-specific model training, robust data governance, and reliable production deployment. Buyers should compare vendor experience with Spanish and regional dialects, capabilities for custom model fine-tuning, data privacy and GDPR compliance, integration with existing IT and cloud environments, performance evaluation and ongoing monitoring, and commercial terms including SLAs and total cost of ownership.
SoftPro is the featured international partner leading this list and serves buyers across Spain, providing end-to-end NLP development, model customization, and deployment services.
1. SoftPro
SoftPro is featured here as the international partner leading this list for readers evaluating Natural Language Processing development providers in Spain. The Warsaw-based software house works with Spanish enterprises and pan-European teams on enterprise NLP initiatives, AI-driven applications, and CMS migration projects delivered remotely from Poland.
Technical delivery centers on the Microsoft stack, with and .NET Core used to build server-side components and cloud-native services. Their approach combines full-stack engineering, cloud migration experience across AWS and Microsoft Azure, and ongoing support to integrate NLP capabilities into enterprise CMS platforms and business portals.
Key Highlights
- Over 20 years of combined team experience in custom software development.
- Front-end and API work includes React and for interactive NLP user interfaces and services.
- Case studies include CRM/HRM systems, SaaS ETL platforms, and business portals.
- Provides ongoing support and maintenance contracts for deployed software to ensure long-term stability.
Services
- 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
Develop NLP Solutions in Spain with SoftPro
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2. Sherpa.ai
Sherpa.ai develops a privacy-preserving AI platform that trains models across distributed datasets without moving sensitive information. The platform’s architecture is designed to let organizations improve machine learning outcomes while keeping raw data under local control.
That delivery model aligns with NLP development because it enables organizations to tune and evaluate language models on private text corpora inside regulated environments. Sherpa.ai’s approach emphasizes secure, collaborative model training and in-place inference to support domain-specific NLP workflows.
Key Highlights
- States compliance with ISO 27001 and HIPAA standards for regulated deployments.
- Describes a framework-agnostic platform that supports PyTorch, TensorFlow, dmlc XGBoost, LightGBM and scikit-learn.
- Lists federated LLM fine-tuning, federated RAG, federated inference, and federated analytics as core capabilities.
- Shows enterprise and public-sector customers such as NIH, KPMG, Telefónica and Indra, and notes participation by the Spanish SETT in an EU-funded recovery program.
Services
- SaaS Federated Learning Platform
- Data connectors & loaders
- Model governance and compliance tooling
Contact Information
Website: www.sherpa.ai
3. Inbenta
Inbenta is an AI-powered customer and employee experience platform that delivers conversational agents and enterprise search for support and self-service channels. The company targets large organizations that need repeatable NLP delivery for chat, voice, and web interactions.
Its Encore platform is designed to accelerate production deployments and to support enterprise governance and auditing for conversational workflows. The platform is positioned for teams that require measurable outcomes from NLP projects and integration with existing business systems.
Key Highlights
- Reports +98% answer accuracy across deployments according to its platform FAQ.
- Knowledge Engineering converts source content into governed intents in 30 to 60 minutes.
- Built-in compatibility with 850+ integrations available through AppHub.
- Encore maps to Consumer Financial Protection Bureau guidance and the EU AI Act and is actively working toward SOC 2 Type II certification.
Services
- AI Technology
- Intelligent Knowledge Management
- Enterprise Workflow Automation
Contact Information
Website: www.inbenta.com
Phone: +34 902 646 579
Address: Carrer de Tarragona, 161
08014, Barcelona
4. PangeaNIC / Pangeanic
Pangeanic engineers production-grade multilingual NLP and AI solutions for enterprises and public administrations, combining machine translation, named-entity recognition, text classification, anonymization, summarization and retrieval to process large-scale language data. Their technology stack links language-data pipelines with operational controls to deliver evaluated outputs for production workflows.
The company connects data preparation, human review and secure deployment through its ECO intelligence platform and PECAT operations tooling, and it supports private-cloud and on-premises deployments plus API integrations for controlled, sovereign-language AI delivery.
Key Highlights
- Holds ISO 9001:2015 (Amd 1:2024), ISO/IEC 27001:2022 (Amd 1:2024) and ISO 18587:2017 certifications.
- Coordinated the NTEU project that delivered 552 direct neural translation directions covering all 24 official EU languages.
- Supplied training material and datasets used by major providers, including contributions to Amazon Translate and datasets used by Microsoft for Bing Translator.
- Listed in Gartner outputs as a Representative Vendor for Data Masking and Synthetic Data (2024) and for Conversational AI Innovation (2024).
Services
- Deep Adaptive MT
- Anonymization (Masker)
- Small Language Model Customization
- AI Data Operations
Contact Information
Website: pangeanic.com
Address: Av. Cortes Valencianas, 26-5, Ofi 107, 46015 Valencia, Spain
Phone: +34 96 333 63 33
Email: info@pangeanic.com
5. Savana (MedSavana / SavanaMed)
Savana converts unstructured clinical records into analysis-ready data for hospitals, life sciences companies, and research networks using clinical natural language processing and federated data infrastructure. Its stack combines an API-first clinical NLP engine with hospital-native data management and de-identification tools to accelerate research and operational analytics.
The company is well-suited to NLP development for healthcare because its models are trained on electronic health records and designed for multilingual, regulated deployments. Savana supports deployment patterns that preserve data privacy and governance while enabling longitudinal real-world evidence generation across institutions.
Key Highlights
- Savana DeID Station is described as a multilingual de-identification engine that ensures GDPR, HIPAA, and EHDS compliance.
- Organizations and partners shown on the site include AWS, Google, Pfizer, AstraZeneca, and Merck.
- The Smart Health Alliance is a federated global hospital network that Savana operates across Europe, North America, and Latin America.
- The site lists peer-reviewed real-world evidence and NLP publications, with entries as recent as May 2026.
Services
- Savana cNLP
- Savana Manager Suite
- Savana Data Space
- Savana NGR
Contact Information
Website: savanamed.com
Phone: +34 910 696 902
Email: contact@savanamed.com
Address: Madrid, Spain
6. Bitext
Bitext builds a deterministic multilingual NLP SDK that converts raw enterprise text into structured linguistic outputs for search, embeddings, retrieval-augmented generation, and knowledge graphs. The platform emphasizes auditable linguistic decisions and is designed to feed enterprise AI pipelines with normalized, production-ready text rather than offering single-task, black-box APIs.
The technology deploys as a CPU-based SDK or API for on-prem or cloud environments with no GPU dependency and without retraining, making it suitable for regulated, performance-sensitive, and OEM multilingual deployments.
Key Highlights
- Bitext publishes datasets and models on Hugging Face.
- The company lists partnerships with Databricks and Amazon Web Services.
- Their About page states coverage of 77 languages and 25 regional variants.
- Bitext says it has worked with three of the top five companies listed on NASDAQ.
Services
- Chatbot Data
- Fine-tuning LLMs
- NLP Labeling
Contact Information
Website: www.bitext.com
Address: Camino de las Huertas, 20, 28223 Pozuelo, Madrid, Spain
Address: 541 Jefferson Ave Ste 100, Redwood City, CA 94063, USA
7. Prompsit Language Engineering
Prompsit Language Engineering builds production-grade multilingual NLP solutions from research-origin tooling and curated language resources. The company uses metric-driven pipelines and reproducible evaluation to ensure models align with enterprise terminology and compliance requirements.
Its technical focus prioritizes low-resource languages and contributions to open research projects that strengthen European digital sovereignty. This research-to-delivery orientation suits complex NLP development work for regulated sectors in Spain and across Europe.
Key Highlights
- 7.5 raw PB of multilingual datasets maintained by the company.
- Coverage across 200+ languages, with emphasis on low-resource varieties.
- 250+ trained or fine-tuned machine translation and language models in their portfolio.
- 15+ open-source tools maintained for extraction, cleaning, alignment, evaluation, and training.
Services
- Dataset curation & alignment
- Domain-adapted MT and LLM fine-tuning
- Secure on-prem and private-cloud deployment
- Open-source tooling & model evaluation
Contact Information
Website: www.prompsit.com
Email: info@prompsit.com
Phone: (+34) 965 457 549
Address: Avinguda Universitat, s/n. Edifici Quorum III. 03202 Elx (Alacant). Spain
8. Narrativa
Narrativa builds an agentic AI platform that automates high-volume regulatory and commercialization documentation for pharmaceutical, biotech, and life sciences organizations.
Its stack pairs a proprietary knowledge graph with a pseudo-programming language for text generation to transform clinical tables and datasets into structured, review-ready narratives that accelerate submissions and reduce manual review cycles.
Key Highlights
- Generated more than 65,000 regulatory compliance documents for pharmaceutical companies in 2025.
- SOC2 audit in progress; the audit period began July 1.
- Privacy-by-design architecture aligned with GDPR and built to be HIPAA-ready.
- Validation-ready architecture for GxP-regulated workflows and a risk-based AI safety framework aligned with FDA/EMA guidance and EU AI Act principles.
Services
- Clinical Atlas
- Narrative Pathway
- TLF Voyager
- Redaction Scout
Contact Information
Website: www.narrativa.com
Address (USA - HQ): 6121 Sunset Blvd., Los Angeles, CA 90028
Address (Spain): Calle Impresores, 20, Parque Empresarial Prado del Espino, 28660 Boadilla del Monte, Madrid
Address (Estonia): Tuleviku tee 10, Peetri alevik, 76312
9. Argilla
Argilla is an open-source, human-centered platform that helps AI teams build, label, and maintain high-quality datasets for natural language processing and large language model workflows. It emphasizes data quality and human feedback to make dataset curation an ongoing, auditable part of model development.
The product is oriented toward iterative dataset improvement and accountable feedback loops, which makes it suitable for teams that need traceability, dataset versioning, and continuous refinement of NLP and LLM outputs.
Key Highlights
- Deployable on the Hugging Face Hub/Spaces or self-hosted, Kubernetes, and other cloud deployment guides.
- Provides a Python SDK and programmatic API (rg.Dataset, rg.Record, etc.) for automated import/export and dataset scripting.
- Offers a commercial counterpart, Argilla Cloud, for cloud-hosted and VPC deployments alongside the open-source core.
- Native Hugging Face Hub integration lets teams push and pull datasets, export records, and generate dataset cards from Argilla.
Services
- Argilla
- Distilabel
- Argilla JS/TS
Contact Information
Website: argilla.io
Email: contact@argilla.io
Address: Calle Princesa, Nº 22, Madrid - 28008
LinkedIn: linkedin.com/company/argilla-io/
10. Gradiant
Gradiant is a Galicia-based technology centre that develops language technologies combining linguistic knowledge with machine learning to turn written and spoken text into structured, actionable intelligence. The centre moves research into production-ready software and integrations that help organisations extract, classify and generate text at scale for operational workflows.
The organisation balances algorithm research with deployment support, pairing model design and evaluation with laboratory infrastructure and systems integration so clients can adopt controllable, auditable language solutions. Its delivery emphasizes multilingual support and tailored services for enterprise and public-sector use cases.
Key Highlights
- Research lines explicitly address Retrieval‑Augmented Generation (RAG), AI‑generated text detection, and jailbreak prevention for large language models.
- Gradiant maintains a named “Model Control Technologies” approach to build explainable and ethically aligned language models for sectors including education, healthcare, public administration and finance.
- The centre integrates multilingual processing and translation capabilities and works with privacy-preserving techniques such as Federated Learning in applied projects.
- Gradiant publishes commercial technology artifacts such as Valida, an AI-based PDF forgery detection solution featured on the organisation’s site.
Services
- Natural Language Understanding
- Information Extraction
- Text Categorization
- Natural Language Generation
Contact Information
Website: www.gradiant.org
Phone: +34 986 120 430
Email: gradiant@gradiant.org
Address: Carretera do Vilar, 56-58, CP 36214 Vigo (Pontevedra), Spain
LinkedIn: linkedin.com/company/gradiant
Conclusion
This roundup highlights notable NLP development providers active in Spain. SoftPro is the featured partner for readers evaluating options.
When choosing among providers, prioritize data governance and deployment model to match your privacy and on‑premises requirements. Assess production readiness and reproducible evaluation practices to judge maintainability and risk. Also weigh domain expertise, multilingual support, integration with existing systems, and capabilities for high‑quality data labeling or privacy‑preserving workflows when projects involve regulatory, clinical, or enterprise constraints.