Beyond Generic AI

Building sovereign multilingual AI systems, from trusted data to secure deployment

Pangeanic helps enterprises, AI labs and public administrations build controlled multilingual AI workflows through AI data, machine translation, document intelligence, anonymization, RLHF and model alignment and customized language models.

Pangeanic is a European language technology and AI company providing AI Data Operations, multilingual datasets, secure machine translation, enterprise document translation, anonymization, model alignment and private AI deployment for organizations that need language AI under their own governance.

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" 
Governed Architecture

The infrastructure of sovereign multilingual intelligence

Pangeanic connects trusted data, human feedback, customized language models and secure enterprise workflows into AI systems that can be evaluated, governed and deployed under organizational control.

01 // DATA

Data for AI

Multilingual datasets, data collection, annotation, metadata enrichment and evaluation data for AI systems that must work across languages, domains and regulated environments.

  • • Multilingual data collection
  • • Domain-specific datasets
  • • Annotation and evaluation workflows
AI outcome Better training, testing and evaluation data for models that need language, domain and context awareness.
Explore Data for AI →
02 // ALIGNMENT

RLHF and Model Alignment

Human-in-the-loop evaluation, expert review and preference data help align model behavior with terminology, policy, domain expectations and user intent.

  • • RLHF and preference data
  • • Human quality operations
  • • Evaluation and feedback loops
AI outcome More predictable AI behavior through human judgment, evaluation data and auditable quality workflows.
Explore RLHF and alignment →
03 // MODELS

Customized Language Models

Small Language Models and task-specific systems can be adapted to enterprise terminology, proprietary data, domain rules and private deployment requirements.

  • • Domain-adaptive model tuning
  • • RAG knowledge grounding
  • • Private cloud and on-premises options
AI outcome Language models designed around specific tasks, controlled knowledge and enterprise governance.
Explore model customization →
04 // WORKFLOWS

Enterprise AI Workflows

ECO Intelligence Platform connects secure machine translation, enterprise document translation, data masking, RAG, APIs, MTQE and human review into operational AI workflows.

  • • ECO Intelligence Platform
  • • Secure MT and MTQE
  • • Scanned document workflows with third-party OCR integration
AI outcome Governed AI applications that connect data, models, documents and language operations in production.
Explore ECO Platform →

The result? Pangeanic supplies the data that builds AI, the human feedback that aligns it and the sovereign infrastructure that lets organizations operate it under their own rules.

Data for AI

Engineering the multilingual data foundations of dependable AI

Pangeanic goes beyond a dataset catalog. We provide the service layer that turns raw multilingual information into AI-ready assets: collection, annotation, metadata engineering, evaluation, RLHF, model alignment and human review.

Strong AI systems begin with the right data: collected with purpose, structured with discipline, evaluated by humans and prepared for real production environments.

Our language technology history includes more than 12B+ multilingual alignments from machine translation work (up from 10Bn in 2020, as reported in Slator), now extended into datasets, human feedback, evaluation data and model alignment for modern AI systems.

01 · Sourcing

Custom and off-the-shelf datasets

Source multilingual data for text, speech, image, video and multimodal AI programs, whether speed calls for ready assets or precision requires bespoke collection.

Useful for: multilingual training data, speech data, parallel corpora, evaluation sets and domain-specific AI datasets.
Browse dataset catalog →
02 · Refinement

Annotation and metadata engineering

Pangeanic designs annotation schemes, taxonomies and metadata frameworks that support fine-tuning, retrieval, evaluation and multilingual model behavior.

Useful for: entity tagging, intent labeling, QA pairs, preference data, human review and structured evaluation workflows.
Explore AI Data Operations →
03 · Alignment

Evaluation data, RLHF and model readiness

Prepare datasets for model adaptation, RAG pipelines, benchmarking, multilingual evaluation, RLHF and regulated deployment where provenance and consistency matter.

Useful for: model evaluation, preference optimization, policy alignment, domain adaptation and production quality gates.
Explore RLHF and model alignment →
Customized Language Models

Smaller, specialized models for enterprise and public-sector AI workflows

Data becomes useful when it improves a model’s behavior. Pangeanic helps organizations move from generic AI to task-specific AI models and fine-tuned workflows adapted to their data, terminology, policies and deployment requirements.

Pangeanic is model-agnostic: we help organizations select, customize, fine-tune, evaluate and deploy the right language model for the task, rather than forcing every workflow through a generic LLM.

What model customization includes
  • Model selection and architecture fit for the task
  • Fine-tuning with multilingual and domain-specific data
  • Terminology adaptation and policy alignment
  • Evaluation datasets, human feedback and RLHF workflows
  • RAG knowledge grounding and secure enterprise integration
  • Private cloud, on-premises and controlled deployment options
Enterprise AI specialist working with secure language model infrastructure
Why smaller can be stronger

Control matters more than model size

For many enterprise and government workflows, value comes from domain fit, data governance, evaluation, privacy controls and deployment architecture. A smaller, specialized model can be easier to supervise than a broad general-purpose model when the task is known.

Proven European AI Experience

Model adaptation is a data and evaluation story

Pangeanic’s work with Barcelona Supercomputing Center on multilingual data and model alignment shows how language expertise, human feedback and evaluation workflows contribute to sovereign AI systems.

25+ Years in language technology
12B+ Multilingual alignments from MT history
BSC Multilingual model alignment work
Gartner Recognized across AI, language and data research
ECO Intelligence Platform

ECO turns sovereign AI architecture into operational workflows

ECO is Pangeanic’s orchestration layer for multilingual AI, secure machine translation, enterprise document translation, data masking, RAG knowledge grounding, APIs and human review. It connects data, models and applications inside a governed environment designed for real deployment.

What ECO makes operational

ECO is the product layer that helps organizations move from AI strategy to governed multilingual operations. AI Data Operations prepares, evaluates and aligns the data. ECO connects those capabilities to enterprise workflows, users and systems.

Secure machine translation Adaptive MT, terminology control, MTQE, translation APIs and private deployment for secure multilingual workflows.
Document workflows Enterprise document translation for PDFs, Word, PowerPoint, Excel, scanned document workflows and human review.
RAG and knowledge grounding Multilingual search, grounded retrieval and controlled access to enterprise knowledge across languages and repositories.
Data masking and anonymization Automated detection, masking and anonymization of sensitive multilingual content before AI processing or translation.

// DEPLOYMENT_CONTROL

Support for private cloud, controlled infrastructure and air-gapped environments where sovereignty, privacy and operational control are essential.

// ENTERPRISE_INTEGRATION

Connect multilingual AI capabilities with document repositories, internal portals, content workflows and enterprise applications through secure APIs.

// PRODUCTION_OUTCOME

Governed AI systems for knowledge discovery, secure assistants, machine translation, document workflows and multilingual enterprise automation.

Platform distinction: ECO is not a generic chatbot layer. It is the operational control plane for multilingual AI workflows, secure translation, data protection and governed enterprise deployment.

Where customized language models matter most

Smaller, task-specific AI models become valuable when organizations need control over language, data, terminology, deployment and human oversight.

  • • Regulated workflows that require controllability, auditability, data governance and lower operational risk.
  • • Enterprise knowledge systems where terminology, internal policy, source control and domain precision are critical.
  • • Multilingual AI environments underserved by English-first pipelines, generic translation layers or weak regional language coverage.
  • • Cost-sensitive production scenarios where smaller, targeted models can be easier to deploy, supervise and optimize.
  • • Sovereign AI programs that prioritize data control, private deployment, human evaluation and organizational governance.
Operational AI

Governed AI workflows for regulated sectors

Pangeanic deploys multilingual AI systems for sectors where privacy, auditability, language precision and operational control are essential. Each workflow connects data, models, evaluation, deployment and human oversight inside a governed operating model.

 
Public Sector

Sovereign government and public administration

Challenge: public institutions need multilingual AI that protects citizen data, supports auditability and operates under sovereign infrastructure requirements.
Solution: Pangeanic supports private, controlled and on-premises AI workflows for public administration, tax, justice, parliamentary content and citizen-facing services.

  • GDPR and AI governance readiness
  • Private cloud, on-premises and controlled deployment
  • Anonymized data for AI training, evaluation and multilingual workflows
AI outcome Secure, auditable multilingual systems for public services, institutional knowledge and regulated document workflows.
Explore sovereign AI systems →
 
Finance and Compliance

Financial services, risk and compliance AI

Challenge: financial organizations need multilingual AI that accelerates document and knowledge workflows without weakening audit trails or data privacy.
Solution: Pangeanic combines document intelligence, anonymization, secure machine translation, RAG knowledge grounding and policy-aware automation for regulated financial operations.

  • Multilingual onboarding, reporting and policy workflows
  • Data masking and anonymization for sensitive financial data
  • Governed assistants for compliance, internal knowledge and review workflows
AI outcome Faster multilingual analysis and document processing with stronger privacy controls, traceability and review logic.
Explore data masking →
 
Security and Intelligence

Secure multilingual intelligence workflows

Challenge: security and intelligence teams need multilingual AI that operates with control, privacy, provenance and restricted deployment options.
Solution: Pangeanic supports cross-lingual search, secure translation, multilingual data processing and knowledge extraction in private or controlled environments.

  • Multilingual OSINT and open-source content workflows
  • Secure translation and cross-lingual knowledge search
  • Private cloud, on-premises or controlled AI workflows for sensitive operations
AI outcome Multilingual situational awareness and knowledge access without sending sensitive content through generic public systems.
Explore on-premises machine translation →
 
Media and Knowledge

Multilingual media and knowledge platforms

Challenge: media, archive and knowledge organizations need to unlock multilingual content while preserving provenance, source control and editorial confidence.
Solution: Pangeanic enables cross-border discovery, multilingual content intelligence and grounded knowledge workflows through search, AI translation, RAG and human-in-the-loop review.

  • Automated multilingual summarization and translation
  • Archive and knowledge discovery workflows
  • Multilingual speech and language data workflows
AI outcome Scalable multilingual discovery and knowledge access with source grounding, translation and review workflows.
Explore ECO Intelligence Platform →

These sectors share the same requirement: AI that can process multilingual information under governance, not generic AI detached from operational reality.

Orchestrated Intelligence

The model is only useful when the system can be governed

Pangeanic remains model-agnostic because sovereign AI is not won by choosing a model brand. It is built by connecting the right model to trusted multilingual data, evaluation, privacy controls, deployment architecture, human oversight and workflow orchestration.

The bridge to production

Model choice is the beginning, not the strategy

Some workflows need a small task-specific model. Others need adaptive machine translation, RAG knowledge grounding, anonymization, a fine-tuned LLM or a hybrid architecture. The important decision is not only which model to use, but how the model is adapted, evaluated and deployed.

Pangeanic connects AI data operations, model alignment, secure machine translation and ECO orchestration into a governed operating stack for multilingual enterprise and public-sector AI.

The intelligence lifecycle

01 // Select

Identify the right open, commercial, custom or hybrid architecture for the task, language coverage, data sensitivity and deployment constraints.

02 // Adapt

Adapt the system with multilingual data, terminology, domain knowledge, fine-tuning, RAG grounding or task-specific instructions.

03 // Evaluate

Test multilingual quality, safety, terminology, retrieval behavior and task performance against real operational requirements.

04 // Orchestrate

Deploy the model inside a governed workflow: secure translation, RAG, document processing, data masking, APIs, human review and enterprise knowledge operations.

The outcome A multilingual AI system that can be adapted, measured, reviewed and operated under the organization’s own governance.
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.

Data Processing Platform for Human-Governed AI

Human expertise is the control layer of dependable multilingual AI

PECAT is Pangeanic’s multimodal data processing and project management platform for human-governed AI operations. It supports speech annotation, text annotation, image and video annotation, ranking, preference data, evaluation, quality control, human feedback and multilingual project delivery workflows.

VIDEO_REF // PECAT_HUMAN_DATA_WORKFLOW
 
 
 

Speech annotation in context: this video shows one example of PECAT’s human-governed data workflows. The same operational logic supports text annotation, image annotation, video annotation, ranking, preference data, RLHF, evaluation, quality control, project management and multilingual delivery operations.

Why humans remain central

Reliable AI is refined, not merely generated

AI systems are often described as stacks of data, models and infrastructure. In production, those layers become useful when human experts curate multilingual data, annotate content, validate outputs, correct errors and maintain operational control.

Pangeanic combines multimodal data preparation, expert annotation, project management, human review, feedback loops and governance logic so AI workflows can move from experimentation to dependable deployment.

This human control layer is highly relevant in regulated environments, where terminology, traceability, privacy, evaluation and delivery discipline are as important as raw model capability.

The result: PECAT turns multimodal data work into reviewable, measurable and accountable AI production workflows.

A map of Europe as seen from space with city lights

 
Research & European AI Excellence

Building Europe’s multilingual AI capacity

Pangeanic’s role in European language technology and AI research strengthens our position as a provider of sovereign AI infrastructure. Participation in strategic research ecosystems and national R&D programs has shaped our practical understanding of what high-stakes multilingual AI requires at scale.

As Europe accelerates toward digital sovereignty and language inclusion, Pangeanic operates at the intersection of enterprise-grade delivery and long-term NLP innovation, collaborating with institutions like the Barcelona Supercomputing Center to define the future of open, secure AI (Data-for-AI, RLHF, model alignment, bias detection, LLM testing, and R&D)
Two Decades of Language AI

From NLP heritage to AI infrastructure

Long before generative AI became a board-level priority, Pangeanic was building natural language processing and machine translation systems for demanding multilingual environments. Over two decades, that work has expanded from language technology into a broader capability spanning data preparation, model adaptation, evaluation, and governed deployment.

That trajectory is highly relevant because enterprise AI now depends on more than model access alone. It depends on multilingual data, domain fit, human supervision, operational control, and deployment discipline across real business and public-sector workflows.

Pangeanic brings those layers together in one operating model, helping organizations move from experimentation to dependable multilingual AI systems in production.

 

"Pangeanic does not simply help organizations use AI."

Jose M. Herrera, PhD — Head of ML

Jose Miguel

"Pangeanic helps them build the operational layers that make AI reliable, governable, and scalable." Juan Luis García — Head of LLMs & AI Research 
  Explore AI Data Operations Explore AI Models