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.
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.
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.
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.
Pangeanic designs taxonomies, labeling schemes, metadata structures and expert-review workflows that convert raw information into traceable, task-relevant AI assets.
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.
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.
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.
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.
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.
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.
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.
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.
PECAT coordinates the human operations behind dependable AI
Pangeanic has created PECAT to manage multilingual annotation, evaluation, human feedback, quality control and delivery workflows across AI data and language technology programs. It provides the operational discipline between raw data, expert judgment and production ready outputs.
VIDEO // PECAT OPERATIONAL WORKFLOW
PECAT supports the managed human operations behind dataset preparation, annotation, ranking, evaluation, preference data, model alignment and multilingual quality assurance.
Human feedbackExpert review, preference ranking and RLHF data managed through traceable workflows.
Pangeanic combines multilingual datasets, human evaluation, model alignment, secure language technologies and controlled deployment in one operating model for enterprises, AI labs and public administrations.
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.
European research roots. EU aligned governance. Global deployment scale.