AI Data Operations · Multilingual AI · Sovereign Systems

Build multilingual AI systems from trusted data to sovereign deployment

Pangeanic provides the datasets, human feedback, model alignment, secure language technologies and deployment infrastructure that enterprises, AI labs and public administrations need to operate multilingual AI under their own governance.

From multilingual corpora and gold-standard evaluation sets to ECO, MTQE, anonymization, RLHF and on-premises deployment, Pangeanic connects the data layer with the operational layer of enterprise AI.
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Gartner Logo recognition: A Representative Vendor in the December 2024
A Representative Vendor in the December 2024 "Emerging Tech: Conversational AI" 
 
Gartner Logo recognition: A Representative Vendor in the 2024
 A Representative Vendor in the 2024 "Market Guide for Data Masking and Synthetic Data" 
 
Gartner Logo recognition: A Sample Vendor in the 2023, 2024
 A Sample Vendor in the 2023, 2024 "Hype CycleTM for Natural Language Technologies" 
Choose your path

Good AI infrastructure starts with a specific operational need

Pangeanic supports AI builders, enterprise teams and public institutions across the production chain: sourcing reliable data, aligning models, protecting sensitive information and operating multilingual AI under controlled conditions.

01 // AI LABS

Build and evaluate models with better multilingual data

For model builders that need legally usable, domain-relevant and quality-controlled data across languages, modalities and specialist fields.

  • Commercial and bespoke datasets
  • Parallel corpora, speech and multimodal data
  • Gold-standard evaluation sets
  • Human feedback, RLHF and model alignment
Explore AI Datasets
02 // ENTERPRISE AI

Turn enterprise data and language workflows into production AI

For organizations that need to connect data sourcing, document workflows, evaluation, translation, anonymization and human review.

  • AI data sourcing and preparation
  • Annotation and evaluation pipelines
  • Secure translation and MTQE
  • ECO workflows, APIs and enterprise integration
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03 // GOVERNED DEPLOYMENT

Operate multilingual AI where privacy and control are mandatory

For public administrations and regulated organizations that require auditable workflows, private infrastructure and control over sensitive data.

  • On-premises and private-cloud deployment
  • Air-gapped operational environments
  • Multilingual anonymization and data masking
  • Small task-specific language models
Explore Sovereign AI Systems

Many programs cross all three paths. Pangeanic can source the data, manage human evaluation, customize task-specific models and deploy the resulting workflows within the infrastructure your organization controls.

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Data for AI

Source, prepare and evaluate the data your AI system actually needs

Pangeanic supplies ready-to-license and bespoke datasets, then provides the collection, annotation, metadata, human review and evaluation operations required to make them usable in production. Our 24+ EU language production base forms part of a wider global sourcing capability covering languages, regional variants, specialist domains and multiple data modalities.

01 // SOURCE

Ready datasets and bespoke collection

License existing assets for faster procurement or commission a data program designed around your languages, domain, demographic requirements, format, consent model and quality thresholds.

Available data types: multilingual text, parallel corpora, speech and audio, image, video, OCR, multimodal data and evaluation sets.
Browse Dataset Catalog →
02 // PREPARE

Annotation, metadata and human review

Pangeanic designs taxonomies, labeling schemes, metadata structures and expert-review workflows that convert raw information into traceable, task-relevant AI assets.

Useful for: entity tagging, intent classification, QA pairs, document labeling, preference data, retrieval pipelines and expert validation.
Explore AI Data Operations →
03 // EVALUATE

Gold-standard evaluation and model alignment

Build benchmarks, preference datasets and human feedback loops for model comparison, multilingual evaluation, domain adaptation, RLHF and controlled production deployment.

Useful for: model readiness, policy alignment, quality thresholds, preference optimization, continuous evaluation and auditable production gates.
Explore RLHF and Model Alignment →
Specialist datasets

Multilingual datasets for OSINT and information analysis

Pangeanic sources and prepares ethically obtained, legally usable multilingual data for open-source intelligence, entity analysis, classification, retrieval and model evaluation. Programs can include text, documents, public records, metadata and domain-specific evaluation material, with provenance and governance built into the workflow.
Small and task-specific language models

Customize the model around the task, the data and the operating environment

Pangeanic helps organizations select, fine-tune, evaluate and deploy smaller language models for defined enterprise and public-sector workflows. The model is adapted to the organization’s terminology, proprietary knowledge, policies, languages and infrastructure rather than forcing every task through a broad general-purpose system.

Gartner predicts that by 2027 organizations will use task-specific small AI models at three times the rate of general-purpose large language models. The shift reflects a practical requirement: organizations need predictable performance, lower operating costs, stronger governance and models that can be evaluated against a known task.

What customization includes
  • Model selection based on the task, language coverage and infrastructure
  • Fine-tuning with multilingual and domain-specific data
  • Terminology, policy and style adaptation
  • RAG grounding with controlled enterprise knowledge
  • Evaluation sets, human feedback and RLHF workflows
  • Private cloud, on-premises and controlled deployment options
Better task fit

Models are evaluated against a defined business process, language requirement and quality threshold.

Greater control

Data, evaluation logic, deployment architecture and human oversight remain under organizational governance.

Predictable operations

Smaller architectures can reduce latency, infrastructure requirements and uncontrolled token expenditure.

AI specialist evaluating a task-specific language model in a secure computing environment
From data to deployment

Pangeanic combines multilingual datasets, human evaluation, model adaptation and secure deployment so the model can be judged against the task it was built to perform.

ECO Intelligence Platform

Put multilingual AI into operation across documents, knowledge and enterprise workflows

ECO connects Pangeanic’s language technologies, AI data operations and secure deployment capabilities in one operational environment. Organizations use it to translate documents, estimate quality, protect sensitive information, ground AI responses in controlled knowledge and connect multilingual services through APIs.

The platform can support private-cloud, on-premises and controlled infrastructure deployments, giving enterprise and public-sector teams greater visibility over data flows, model behavior, human review and production quality.

Secure translation

Adaptive machine translation, terminology control, quality estimation and secure translation APIs.

Document intelligence

Translation and processing for PDF, Word, PowerPoint, Excel and scanned-document workflows.

Multilingual RAG

Search, retrieval and grounded responses across languages, repositories and controlled knowledge sources.

Privacy controls

Multilingual data masking and anonymization before translation, retrieval or AI processing.

Production proof

Multilingual AI proven through data, public infrastructure and real deployment

Pangeanic’s current AI capabilities were built through years of multilingual data operations, European research, public-sector deployment and production language technology. These projects show how data, human evaluation, privacy controls and model adaptation become operational systems.

01 // MODEL ALIGNMENT

Barcelona Supercomputing Center

Pangeanic contributed multilingual data, human feedback and model-alignment workflows for Spanish and Catalan language models developed with Barcelona Supercomputing Center.

Demonstrates: multilingual training data, expert review, RLHF, evaluation and alignment for sovereign language models.
Read the BSC Use Case →
02 // PUBLIC INFRASTRUCTURE

Spanish Tax Agency

Pangeanic supports secure document translation workflows for a large public administration whose teams operate across locations, functions and multilingual investigation contexts.

Demonstrates: secure enterprise translation, document operations, public-sector scale and controlled language workflows.
Read the AEAT Use Case →
03 // PRIVACY AND GOVERNANCE

MAPA Multilingual Anonymization

MAPA developed multilingual anonymization workflows for sensitive documents, supporting public-sector and institutional use cases where privacy, traceability and language coverage are critical.

Demonstrates: multilingual data masking, document privacy, governed processing and deployment in sensitive environments.
Read the MAPA Use Case →
Research provenance

Built through multilingual research and European deployment work

Pangeanic’s AI data operations, language technologies and sovereign deployment capabilities are grounded in more than two decades of work on multilingual corpora, machine translation, speech resources, anonymization, evaluation and human feedback. This research trail now supports production workflows for training, fine-tuning, evaluation and model alignment.

AI Data Operations

The operational layer behind dependable multilingual AI

Production AI depends on more than data and models. Pangeanic structures the workflows, validation, human feedback and delivery processes that keep multilingual systems measurable, traceable and fit for regulated environments.

VIDEO // PECAT_OPERATIONAL_WORKFLOW
 
 
 

PECAT in context: This is a brief overview of our production discipline behind multilingual project workflows, delivery management, quality control and human review. This operational layer supports AI Data Operations, enterprise translation, dataset preparation, evaluation and model alignment workflows.

From prototype to production

AI becomes dependable when the workflow is governed

AI Data Operations is where experimentation becomes production. Pangeanic manages the workflows between raw data and dependable AI performance: evaluation, quality control, human feedback, terminology governance and continuous improvement.

AI Data Operations is a highly relevant layer for enterprise and public-sector deployments because it makes quality measurable, review traceable and model behavior aligned with operational requirements.

THE_RESULT: AI Data Operations turns isolated models into dependable multilingual systems through human oversight, evaluation and governed workflows.

A map of Europe as seen from space with city lights

 
European Research · Global Standards

Building Europe’s multilingual AI capacity with global deployment scale

Pangeanic’s European language technology roots, R&D participation and public-sector experience shape how we build multilingual AI systems for regulated environments. Our work connects AI Data Operations, secure machine translation, model alignment, evaluation and private deployment under a governance model designed for trustworthy AI.

Our collaboration with the Barcelona Supercomputing Center connects multilingual data, human feedback and model alignment with language-aware AI systems for Spanish, Catalan and European language technology.

For enterprises and public institutions, sovereign AI means practical control over data, models, deployment, evaluation, privacy and human oversight. Pangeanic aligns this work with European requirements for trustworthy, multilingual and auditable AI systems, including language inclusion for regional and lower-resource languages.

European research roots. EU-aligned governance. Global deployment scale.
Two Decades of Language AI

From NLP heritage to governed AI infrastructure

Long before generative AI became a board-level priority, Pangeanic was building machine translation, multilingual NLP and language data systems for demanding enterprise and public-sector environments.

Today, that experience connects AI training data, human feedback and model alignment, secure machine translation, ECO Intelligence Platform and private AI deployment into one operating model.

Pangeanic supplies the data that builds AI, the human feedback that aligns it, and the secure infrastructure that lets organizations operate it under their own governance.