Beyond Generic AI

Sovereign AI Infrastructure and Data Operations for Enterprises and Governments

Multilingual. Secure. At Scale.

Move beyond black-box AI. From data operations and model alignment to task-specific models and secure deployment. Made by humans, governed by humans.

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

Four Pillars of Sovereign Multilingual AI

Pangeanic builds sovereign multilingual AI through four governed layers: trustworthy data, aligned behavior, task-specific models, and production-ready applications.

01
Data Foundations

Trustworthy Data for AI Training

High-performing AI starts with curated, multilingual, ethically sourced data. Pangeanic designs and manages the datasets, metadata, anonymization workflows, and annotation pipelines needed to build enterprise-grade AI systems for real operational environments.

Core Capabilities
• Multilingual text, speech, image, and multimodal data pipelines
• Annotation, metadata engineering, and evaluation-set creation
• Privacy-aware preparation for regulated and sensitive use cases
Explore AI training data →
02
Human-Governed Behavior

Model Alignment & RLHF

Reliable AI requires more than training. Pangeanic applies human feedback, multilingual review, evaluation, red-teaming, and auditable quality operations to align model behavior with policy, terminology, compliance needs, and business reality.

Alignment Workflows
• RLHF, preference ranking, scoring, and quality loops
• Evaluation, benchmarking, regression testing, and error analysis
• Traceable operational frameworks for multilingual production AI
Explore model alignment & AI Data Operations →
03
SLMs, Fine-Tuning & Agents

Building Sovereign AI Systems

We help enterprises and governments move beyond generic models by building task-specific Small Language Models, fine-tuned AI systems, and agentic workflows adapted to their terminology, operating constraints, and risk environment.

System Capabilities
• Task-specific SLMs and domain-adapted multilingual models
• Fine-tuning, agentic workflows, RAG, and model selection by use case
• Private cloud, VPC, on-premise, and sovereign deployment options
Explore sovereign AI systems →
04
ECO, ECOChat, MT & MTQE

Enterprise AI Applications & Platforms

The full stack creates value when it powers real workflows. Pangeanic delivers production-ready AI applications for multilingual knowledge discovery, secure assistants, translation, quality estimation, document intelligence, and enterprise automation.

Deployment Layer
• Multilingual search, RAG, knowledge assistants, and enterprise chat
• Private translation, MTQE, and secure document workflows
• Operational applications for government, media, finance, and global enterprise
Explore enterprise AI applications →

The result: a governed multilingual AI lifecycle that connects trustworthy data, aligned behavior, sovereign model control, and production-ready applications into dependable systems for enterprise and government.

AI Models - SLMs

Task-specific models for enterprise AI

Enterprises increasingly need smaller, more controllable language models tuned for specific tasks, domains, and workflows. Pangeanic helps organizations customize models that are more efficient, easier to govern, and better aligned with real operational needs.

Whether the need is multilingual document intelligence, domain-specific assistants, secure machine translation, or internal enterprise AI, Pangeanic combines training data, model adaptation, evaluation, and deployment expertise into a single integrated offering.

  • Small Language Models
  • Fine-Tuned LLMs
  • Domain AI Multilingual Models
 
 
Explore Custom Models

Young colored worker checking results on a custom small language model

 

 

Where custom models matter most

  • Regulated workflows that require controllability, auditability, and lower risk.
  • Enterprise knowledge systems where terminology and policy precision are critical.
  • Multilingual environments underserved by English-first AI pipelines.
  • Cost-sensitive production scenarios where smaller, targeted models outperform generic scale.
  • Sovereign AI programs that prioritize data and deployment control.
[ Interface Layer ]

From architecture to execution

Deploy secure AI systems, not just demos. ECO is the orchestration layer where Pangeanic’s governed architecture becomes operational: trustworthy data, model alignment, task-specific AI systems, and enterprise-ready applications unified in a controlled environment.

Enterprise-Grade Language Intelligence

ECO acts as the orchestration layer for your enterprise, integrating Deep Adaptive MT, secure LLM workflows, multilingual search, and automated data masking into your existing sovereign infrastructure.

Multilingual Knowledge Systems RAG-based internal intelligence, grounded search, and cross-lingual knowledge discovery across enterprise data.
Cross-Lingual Intelligence Detect sentiment, intent, and narrative patterns across languages, sources, and multilingual content environments.
Data Privacy & Protection Automated PII detection, anonymization, and data masking for AI training and operational workflows.
Intelligent Multilingual Agents ECOChat and task-specific assistants designed for enterprise workflows, internal knowledge, and user interaction.

// SECURE_DEPLOYMENT_MODES

Support for private cloud, controlled infrastructure, and air-gapped environments where data sovereignty is non-negotiable.

// API_INTEGRATION_FABRIC

Connect multilingual AI capabilities directly with enterprise systems, content workflows, and internal applications via robust, documented APIs.

// OPERATIONAL_OUTCOME

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

[ Operational AI ]

Operational AI for the Regulated World

From public administration and finance to defense and multilingual media, Pangeanic deploys governed AI systems where privacy, traceability, and operational control are essential.

 
Public Sector

Sovereign Government & Public Administration

Pangeanic builds operational AI systems for regulated institutions. From tax, justice, and parliamentary workflows to multilingual citizen-facing services, we provide cloud, on-premise, and air-gapped AI pipelines designed for privacy-sensitive environments.

  • GDPR and AI governance readiness
  • On-premise task-specific SLMs and AI agents
  • Anonymized data for AI model training
 
Finance & Compliance

Financial Services, Risk & Compliance AI

Banks, insurers, and regulated financial organizations need multilingual AI systems that improve speed without compromising governance. Pangeanic supports document intelligence, policy-aware automation, and secure language workflows for audit-heavy environments.

  • Multilingual customer onboarding, claims, and policy workflows
  • AI-ready anonymization for sensitive financial data
  • Governed assistants for compliance, reporting, and internal knowledge
 
Defense & Security

Defense, OSINT & Lawful Intelligence Operations

Security and mission-critical organizations need multilingual AI systems that operate with control, traceability, and privacy by design. Pangeanic supports open-source intelligence, secure speech and text analysis, and knowledge extraction workflows for defense and lawful investigative environments.

  • Multilingual OSINT monitoring, summarization, and translation
  • Secure transcription, entity extraction, and cross-lingual search
  • Private cloud and air-gapped AI workflows for sensitive operations
 
Media & Knowledge

Multilingual Media & Knowledge Platforms

Broadcasters, publishers, and public institutions need a multilingual AI infrastructure they can trust. Pangeanic enables cross-border discovery, secure parliamentary transcription, and grounded media intelligence through search, AI translation, transcription, and RAG-based knowledge workflows.

  • Automated news summarization and translation
  • Heritage archive knowledge discovery
  • Human-in-the-loop workflows and language-switching speech recognition
Model-Agnostic AI Systems

The right model for the right challenge: adapted, evaluated, and governed

Pangeanic is not tied to a single model family. We identify the best model for each use case, adapt it to the client’s domain, and embed it into multilingual workflows designed for performance, privacy, and operational control.

We are different

Pangeanic does not approach AI as a race to build ever-larger general-purpose models. Our strength lies in selecting the most suitable model for the challenge ahead, then refining it with the data, evaluation, alignment, and workflow logic needed for real-world multilingual use.

With deep roots in NLP, multilingual AI, and machine translation, Pangeanic acts as a bridge between language technology, enterprise deployment, and sovereign AI requirements across the public sector, regulated industries, and research ecosystems.

Model-agnostic selection Domain adaptation Fine-tuning & evaluation Custom AI workflows Privacy-aware deployment

How we approach model-driven AI systems

01

Select: identify the most suitable open or commercial model for the domain, task, language coverage, and deployment constraints.

02

Adapt: fine-tune, align, and enrich the model with multilingual data, terminology, retrieval logic, and client-specific knowledge.

03

Evaluate: test quality, safety, terminology consistency, and multilingual performance against real operational requirements.

04

Orchestrate: embed the model into a governed AI workflow spanning search, assistants, transcription, translation, RAG, and enterprise knowledge operations.

AI Data Operations

The operational layer behind reliable multilingual AI

We collect specific training data for ML projects for the creators of the future. But production-grade AI depends on more than just data and models. Pangeanic structures the workflows, validation, evaluation, feedback, and governance needed to keep multilingual systems accurate, measurable, and fit for regulated environments.

Operationalizing AI beyond the model

AI Data Operations is where experimentation becomes production. Pangeanic helps organizations manage the operational workflows that sit between raw data and dependable AI performance: evaluation, multilingual quality control, human feedback, post-editing, and continuous improvement.

This layer is essential in enterprise and public-sector deployments, where performance must be auditable, terminology must remain consistent, and outputs must be aligned with policy, compliance, and operational requirements across languages and domains.

What AI Data Operations includes

  • Evaluation: benchmarking outputs against quality, business, and regulatory criteria.
  • Human feedback: structured review loops for model alignment and performance improvement.
  • Post-editing & QA: ensuring multilingual output quality in production workflows.
  • Monitoring: tracking drift, errors, terminology consistency, and operational reliability.
  • Governance: keeping workflows traceable, controlled, and appropriate for regulated use cases.
01

Evaluate

Define metrics, test multilingual performance, and measure outputs against business-critical expectations.

02

Refine

Apply human review, feedback loops, and quality controls to improve accuracy, consistency, and alignment.

03

Operate

Deploy governed workflows that remain measurable, maintainable, and ready for real-world multilingual production.

And this matters: AI Data Operations turns isolated models into dependable systems by connecting evaluation, human oversight, and governed workflows across the full multilingual lifecycle.

Human Intelligence DATA PROCESSING PLATFORM FOR HUMAN-GOVERNED AI

Human expertise is what makes multilingual AI dependable

PECAT is our platform for data processing.

Reliable AI is refined through multilingual data operations, evaluation, governance, and the people who keep systems aligned with real operational requirements.

AI systems are often described as stacks of data, models, infrastructure, and applications. But what makes those layers useful in practice is the human intelligence that refines them: curating multilingual data, validating outputs, guiding alignment, and maintaining operational control once systems are deployed.

At Pangeanic, this operational layer is central to how AI becomes trustworthy. We combine training data preparation, human feedback, evaluation workflows, quality assurance, privacy-aware handling, and governance logic so multilingual AI can move from experimentation to dependable production.

This is especially important in regulated environments, where terminology, traceability, compliance, and deployment discipline matter as much as raw model capability.

Where human intelligence stays in the loop

01 · Multilingual Data Operations

Collection, annotation, metadata engineering, anonymization, and training data preparation across languages and domains.

02 · Evaluation & Quality Control

Human scoring, QA, regression testing, terminology validation, and performance measurement for production-grade systems.

03 · Alignment & Feedback

Human feedback loops that refine behavior, improve usefulness, and adapt AI workflows to client-specific requirements.

04 · Governance & Oversight

Traceable workflows, privacy-aware processes, and human supervision for enterprise and public-sector deployments.

“Reliable AI is not built on models alone. It is built on the data, alignment, evaluation, and governance layers that make those models useful in the real world.”

Manuel Herranz — CEO, Pangeanic

Manuel Herranz2
A map of Europe as seen from space with city lights

 
Research & European AI

Building Europe’s multilingual AI capacity

Pangeanic’s role in European language technology and AI research strengthens its credibility as a provider of multilingual and sovereign AI infrastructure. Participation in research ecosystems, public initiatives, and collaborative innovation programs has helped shape a practical understanding of what multilingual AI requires at scale.

This experience is especially important as Europe moves toward stronger AI sovereignty, greater language inclusion, and more secure AI deployment models. Pangeanic operates at the intersection of enterprise delivery and long-term language technology innovation.

 

Explore EU Projects
 
Read AI Insights
Two Decades of Language AI

From NLP heritage to AI infrastructure

Long before generative AI became a strategic priority for enterprises, Pangeanic was building natural language processing and machine translation systems for demanding multilingual environments. Over more than two decades, that expertise has expanded from language automation into a broader AI infrastructure capability spanning data preparation, model customization, alignment, evaluation, privacy, and deployment.

This matters because today’s enterprise AI systems need much more than large models. They require multilingual training data, domain-sensitive workflows, human feedback loops, benchmark frameworks, and governance-aware execution. Pangeanic brings these layers together into a single operating model, helping organizations move from experimentation to reliable multilingual AI in production.

The result is a company positioned not as a legacy-language vendor but as a modern provider of multilingual AI infrastructure for enterprise and sovereign AI systems.

 

 

 

"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