EFE
More than 2,000 news items per day
EFE expanded multilingual news output from approximately 400 to more than 2,000 items per day using neural and AI-assisted translation workflows.
Explore the EFE use case →Enterprise adaptive translation
Deep Adaptive AI Translation that learns how your organization communicates
Translate documents, content, and real-time workflows using your approved terminology, translation memories, bilingual data, style rules, and domain knowledge. Then apply MTQE quality gates to decide what can be published automatically, what needs correction, and what should reach a human reviewer.
Foundation PangeaMT models
Adaptation Deep Adaptive AI
Quality MTQE release gates
Operations ECO orchestration
Built on Pangeanic’s CDTI research into controlled retrieval, adaptive translation, automatic quality estimation, privacy, and intelligent multilingual publishing. Explore the research project →
Product consultation
Discuss your adaptive translation workflow
Deep Adaptive AI Translation is designed around the linguistic assets, operational requirements, and deployment policies of each organization.
Tell us about your languages, content volumes, translation memories, terminology, document formats, integrations, privacy requirements, and quality thresholds.
We will help you define how PangeaMT, Deep Adaptive AI Translation, MTQE, and ECO can operate as a single production workflow.
Linguistic assets Translation memories, glossaries, bilingual data, terminology, and approved reference documents
Workflow design Documents, APIs, automatic publishing, corrective processing, and human review
Quality policy MTQE thresholds, sampling, escalation, terminology checks, and release rules
Deployment Controlled cloud, private cloud, on-premises, and sovereign infrastructure
Deep Adaptive AI Translation
Request a product consultation
Describe your translation environment and the outcome you want to achieve.
Production evidence
Enterprise translation operating in media, government, regulated software, and corporate environments
Pangeanic technology supports large-scale multilingual publishing, institutional document translation, secure software delivery, and private enterprise language workflows.
AEAT
25,000 registered government users
Spain’s Tax Agency provides controlled document translation through ECO to thousands of authorized public-sector employees.
Explore the AEAT use case →IRON BANK
Secure software delivery for regulated environments
Pangeanic software was prepared for controlled delivery through Iron Bank for highly regulated and security-sensitive operating environments.
Explore the Iron Bank use case →VERITONE
Private enterprise language infrastructure
Veritone integrated Pangeanic language technology into corporate multilingual processing and translation workflows.
Explore the Veritone use case →Beyond generic machine translation
Enterprise translation should reflect the language decisions your organization has already made
Organizations accumulate years of approved terminology, translation memories, product names, regulatory expressions, style decisions, bilingual documents, and domain expertise.
Generic translation systems usually ignore much of that value. They generate plausible language, but they do not automatically know which terminology is mandatory, which previous translations were approved, which expressions must remain unchanged, or which audience the content is intended for.
Deep Adaptive AI Translation retrieves the linguistic and contextual evidence that matters for each task and applies it while the translation is being generated.
The system can adapt to a customer, department, content type, domain, publication channel, or specific workflow. The output can then be verified against terminology, meaning, style, quality thresholds, and operational risk.
TERMINOLOGY
Approved language
Apply preferred terms, protected names, acronyms, regulatory expressions, and client-specific equivalents.
MEMORY
Previous translations
Reuse reviewed sentence pairs and translation memories as active evidence during generation.
STYLE
Tone and audience
Adapt communication to brand guidelines, target readers, content types, and organizational preferences.
CONTEXT
Domain knowledge
Retrieve relevant technical, commercial, legal, public-sector, or institutional context for each translation task.
The complete translation stack
Translation generation, contextual adaptation, quality control, and operational delivery in one architecture
Each layer has a specific role. Together, they turn machine translation into a governed enterprise process.
01
PangeaMT foundation
Enterprise machine translation models provide the multilingual generation layer, including private and client-controlled deployment options.
02
Deep Adaptive AI Translation
Controlled retrieval applies terminology, memories, approved examples, style, context, and domain knowledge to each translation.
03
MTQE verification
Quality estimation measures whether meaning, terminology, fluency, and task requirements reached the configured threshold.
04
ECO orchestration
ECO manages documents, APIs, privacy, corrective processing, human review, usage, auditability, and final delivery.
ENTERPRISE ARCHITECTURE
PangeaMT provides the translation foundation. Deep Adaptive AI Translation provides contextual adaptation. MTQE provides the release signal. ECO provides workflow orchestration.
Use the assets you already own
Turn static linguistic resources into active guidance for every relevant translation decision
Deep Adaptive AI Translation connects existing organizational knowledge with runtime translation generation and verification.
TMX
Translation memories
Use reviewed bilingual segments, previous projects, and approved human translations as contextual evidence.
CSV / TSV
Terminology and controlled vocabulary
Upload client terminology, product names, acronyms, preferred equivalents, and protected expressions.
DOCUMENTS
Reference content
Add manuals, policies, previous publications, approved documents, and domain-specific reference material.
STYLE
Style instructions
Define tone, register, audience, sentence preferences, prohibited language, and communication requirements.
DOMAIN
Specialized knowledge
Ground translations in legal, technical, industrial, scientific, financial, medical, or public-sector context.
LIVE UPDATE
Continuous adaptation
Update terminology, memories, instructions, and reference material without rebuilding the complete translation environment.
The adaptive quality loop
Generate, verify, correct, and reuse the decisions made in production
Translation improves when the generation layer receives structured feedback from automated evaluation, corrective processing, and expert review.
GENERATE
Translate with context
Retrieve relevant memories, terminology, examples, and instructions before producing the target text.
VERIFY
Check the task
Evaluate meaning, terminology, style, consistency, and predicted translation quality.
CORRECT
Improve weak output
Apply automatic post-editing, regenerate with additional evidence, or route selected content to an expert.
REUSE
Preserve approved decisions
Add reviewed translations, validated terminology, and useful correction patterns to future workflows.
Quality-controlled publishing
MTQE determines what can move automatically and where human attention creates value
Deep Adaptive AI Translation aims to generate output aligned with client terminology, style, context, and meaning. MTQE evaluates whether that objective was achieved.
Each segment can receive a reference-free quality score. Organizations can combine that signal with language pair, document type, content sensitivity, audience, and operational risk.
The workflow can publish strong content automatically, sample it for monitoring, apply corrective processing, send selected segments for review, or block weak output.
HIGH
Publish automatically
Release content that meets the required quality, terminology, and risk thresholds.
SAMPLE
Monitor selectively
Review a controlled sample of high-confidence content for ongoing quality assurance.
CORRECT
Apply automatic improvement
Regenerate, post-edit, or verify translations that fall below the preferred threshold.
REVIEW
Escalate meaningful risk
Send weak, sensitive, ambiguous, or high-impact content to the appropriate human expert.
Operated through ECO
ECO provides the document, API, privacy, and governance layer around adaptive translation
Translation models do not manage complete enterprise workflows by themselves.
Organizations need document upload, format preservation, user access, API integration, anonymization, terminology management, quality routing, statistics, and delivery controls.
ECO Intelligence Platform connects these operational components. Users and applications can submit content, protect sensitive information, apply Deep Adaptive AI Translation, measure output with MTQE, and route the result according to policy.
Document translation Translate PDF, Word, PowerPoint, Excel, and other enterprise file formats Anonymization Detect and protect personal or sensitive information before AI processing MTQE Score translations and trigger publication, correction, review, or rejection Machine translation APIs Integrate multilingual translation into applications and content workflows Sovereign deployment Run language technology within infrastructure controlled by your organization Workflow consultation Define data, terminology, models, quality thresholds, integrations, and deployment
Enterprise use cases
Adapt translation to the content, risk, and operating model of each organization
Deep Adaptive AI Translation supports high-volume publication, internal document translation, regulated content, multilingual knowledge, and private infrastructure.
NEWS
Continuous news publishing
Translate large streams of time-sensitive content while preserving terminology, editorial conventions, and release speed.
GOVERNMENT
Public administration
Support employees and public services with controlled document translation, privacy, access, and institutional terminology.
INDUSTRY
Technical documentation
Apply approved terminology and previous translations to manuals, specifications, support content, and product information.
LEGAL
Sensitive and regulated content
Combine controlled infrastructure, anonymization, terminology, quality gates, and expert review.
GLOBAL CONTENT
Web and content operations
Translate product pages, knowledge bases, reports, communications, and recurring content through APIs.
CUSTOM
Client-owned workflows
Integrate Pangeanic models, third-party systems, or client-owned models with independent adaptation and MTQE.
Evaluator preference
Human evaluators preferred Deep Adaptive automatic post-editing over conventional machine translation
In an evaluation published in August 2024, reviewers compared Deep Adaptive retrieval-based automatic post-editing with traditional machine translation.
Preference was reported across French, German, and Japanese, indicating that the adaptive layer improved output beyond the baseline translation response.
The results support an operational principle: translation improves when generation is connected to domain context, approved linguistic resources, automated verification, and corrective processing.
FRENCH
93.8%
Evaluator preference for Deep Adaptive retrieval-based automatic post-editing.
GERMAN
91%
Evaluator preference for Deep Adaptive retrieval-based automatic post-editing.
JAPANESE
87.9%
Evaluator preference for Deep Adaptive retrieval-based automatic post-editing.
Deployment and integration
Use Deep Adaptive AI Translation through documents, APIs, private infrastructure, or complete enterprise workflows
Select the operating model that matches your volume, security requirements, existing technology, and internal governance.
ECO
Web platform
Upload documents, choose translation services, manage terminology, review output, and monitor usage.
API
Application integration
Connect translation and quality estimation to CMS, support, publishing, document, and data workflows.
PRIVATE
Private cloud
Operate within controlled cloud infrastructure with dedicated access, models, logging, and data policies.
SOVEREIGN
On-premises and isolated
Deploy models and services inside enterprise or public-sector infrastructure where data must remain controlled.
Research foundations
Deep Adaptive AI Translation is the product continuation of sustained multilingual research
The product combines research in neural translation, reusable bilingual data, provider orchestration, controlled retrieval, privacy, quality estimation, and enterprise workflow automation.
Direct product research
Privacy-Controlled AI Translation
Explore the CDTI and ERDF project behind controlled retrieval, MTQE, automatic post-editing, privacy, and intelligent publishing.
Explore the CDTI project → Multilingual model infrastructureNTEU
Discover the European project that developed direct neural translation models across the official languages of the European Union.
Explore NTEU → Translation orchestrationiADAATPA and MT Hub
Explore the architecture for routing public-sector translation requests through secure APIs and multiple engine providers.
Explore MT Hub → Reusable bilingual assetsNEC TM Data
Review the work on reusable translation-memory data, linguistic assets, interoperability, and European language infrastructure.
Explore NEC TM Data → Complete portfolioResearch and Innovation Projects
Explore Pangeanic’s European, Spanish, and regional projects in multilingual data, translation, privacy, and sovereign AI.
Explore all projects → European researchEuropean AI and Language Technology Projects
Review the European programs behind Pangeanic’s models, data resources, public infrastructure, and multilingual technologies.
Explore European projects →Frequently asked questions
Deep Adaptive AI Translation for enterprise deployment
What is Deep Adaptive AI Translation?
Deep Adaptive AI Translation is Pangeanic’s enterprise translation approach for dynamically applying translation memories, terminology, bilingual examples, style instructions, domain knowledge, and client-specific context during translation generation.
How is it different from generic machine translation?
Generic machine translation relies primarily on the model’s existing behavior. Deep Adaptive AI Translation retrieves and applies approved organizational language assets and contextual evidence for the specific customer, domain, document, or workflow.
Can Pangeanic use our translation memories and glossaries?
Yes. Organizations can provide TMX, TSV, CSV, translation memories, glossaries, terminology lists, bilingual examples, style instructions, and approved reference documents.
Does adaptation require retraining a complete model?
Not always. Runtime retrieval can apply updated terminology, translation memories, and instructions without rebuilding the complete underlying model.
How does MTQE work with Deep Adaptive AI Translation?
MTQE scores the relationship between the source text and translated output without requiring a human reference. The result can help determine whether content should be published, sampled, corrected, reviewed, or rejected.
Can it process complete documents?
Yes. Through ECO and Pangeanic’s enterprise document workflows, organizations can translate common business formats while preserving structure and applying terminology, privacy, and quality controls.
Can it be deployed on-premises?
Pangeanic supports controlled cloud, private cloud, on-premises, and isolated deployment options depending on the required models, infrastructure, security policies, and integration scope.
Can MTQE evaluate third-party translation models?
Yes. MTQE and workflow evaluation can be applied to Pangeanic models, third-party translation systems, and client-owned models when independent scoring and routing are required.
What is the research foundation of the product?
Deep Adaptive AI Translation builds on Pangeanic’s work in machine translation data, neural models, translation-memory infrastructure, multilingual retrieval, quality estimation, automatic post-editing, privacy, and the CDTI Privacy-Controlled AI Translation project.
Build the complete workflow
Connect adaptation with quality control, document processing, and private deployment
Deep Adaptive AI Translation can operate as a focused translation service or as part of a broader enterprise language platform.
Quality decision layer
Machine Translation Quality Estimation
Score output without reference translations and route content to publication, correction, review, or rejection.
Explore MTQE → Operational platformECO Intelligence Platform
Manage documents, APIs, privacy, translation, terminology, quality, usage, and delivery from one environment.
Explore ECO → Enterprise documentsEnterprise AI Document Translator
Translate complete files while preserving structure, applying terminology, and maintaining controlled processing.
Explore document translation → Controlled infrastructureSovereign AI Systems
Deploy translation models, data, retrieval, and quality services within infrastructure governed by your organization.
Explore sovereign AI →Enterprise adaptive translation
Turn your terminology, translation memories, and domain knowledge into a controlled multilingual workflow
Connect Deep Adaptive AI Translation, MTQE, enterprise document processing, privacy controls, APIs, human review, and sovereign deployment through Pangeanic’s multilingual AI stack.