What is the difference between NMT and task-specific language models?

NMT uses a specialized encoder-decoder architecture built for translation accuracy and consistency. Task-specific models are often lightweight LLMs fine-tuned for translation but operate on next-token prediction rather than dedicated translation architecture.

How is Pangeanic different from Google Translate or DeepL?

Pangeanic offers 'Domain Adaptation', training engines with your specific terminology and reference data. We provide higher security, data sovereignty, and API integration that public consumer tools lack.

How does machine translation compare to LLMs for translation?

NMT engines are purpose-built for scale and deterministic consistency. While LLMs offer fluency, they lack the terminology control and air-gapped security that enterprise MT environments provide for high-volume workflows.

MACHINE TRANSLATION

Q: Is enterprise machine translation safe for confidential or medical data?

Yes, Pangeanic provides private, zero-retention environments. Your sensitive data is never reused to train public models, ensuring full GDPR compliance for medical and legal use.

Custom Machine Translation for Enterprises: Secure, Scalable & Domain-Adapted

Private cloud, on-prem, air-gapped. Zero retention. Domain adaptation + SLMs.

Pangeanic provides enterprise-grade Neural Machine Translation (NMT) solutions designed for high-stakes industries that require more than generic, public translation tools. By combining state-of-the-art AI with domain adaptation, we deliver translation engines that mirror your brand’s voice, respect complex terminology, and guarantee absolute data privacy. Whether you need to process millions of words in real-time or integrate secure MT into your internal workflows, Pangeanic offers the bridge between raw AI power and professional linguistic accuracy.

BYD Japan, News Agency EFE, Omron and hundreds more!

Listed in Gartner's Emerging Tech Report for Conversational AI 2025, Hype Cycle for Language Technologies in two consecutive years, 2024 & 2023

It is not just us saying it. Gartner has mentioned our Neural Machine Translation (NMT) and AI Translation solutions, too.

They praised our ability to tailor and adapt the models according to our client's requirements and feedback.

Gartner mentions our machine translation technology and conversational AI

Maximizing Operational Efficiency with Strategic AI & Private MT

Integrating enterprise-grade AI into your global workflows is a strategic leap toward efficiency. Beyond simple translation, Pangeanic provides a robust ecosystem designed for total data sovereignty through a flexible deployment model tailored to your security needs:

1. Managed Private Cloud (ECO): Ease of Deployment & Custom Machine Translation

For organizations seeking a balance between power and agility, we host your Custom MT models within our secure private cloud. This managed service allows for a seamless, "click-and-run" integration via our RESTful API, masterfully handling your proprietary terminology and brand voice without the need for internal infrastructure maintenance. It’s the fastest way to deploy high-performance AI while keeping your data isolated from the public web.

2. Deep Adaptive AI Translation (DAAIT)

Experience the vanguard of linguistic evolution with Deep Adaptive AI Translation (DAAIT). Our technology learns from your human-corrected style in real-time. You maintain full control: choose "on-the-fly" instant updates or scheduled "after-review" training cycles. This is the most accurate and private alternative for regulated sectors like government, healthcare, and law.

3. Total Sovereignty: On-Premises & Small Language Models (SLMs)

When security requirements demand that data never leave your perimeter, we provide On-Premises deployments.

Air-gapped Environments: We install fast-performing Neural MT engines directly onto your internal servers, ensuring absolute data isolation and compliance with the strictest governmental or corporate secrecy protocols.
Task-Specific SLMs: Lightweight Small Language Models (SLMs) designed for local infrastructure. These offer LLM-level fluency with the deterministic control and speed required for sovereign enterprise operations.

4. Custom AI Engineering: Bespoke NLP Projects

Pangeanic acts as your strategic AI partner for complex, custom developments. We move beyond "off-the-shelf" software to build tailored NLP pipelines designed as unique engineering projects:

Strategic PII Discovery & Anonymization: Custom-built systems to detect and redact sensitive data before any translation or processing occurs.
Intelligent Text Classification: Bespoke projects to route massive content streams based on intent, sentiment, or specific technical domains, flagging suspicious conversations, relevant content, etc.
Knowledge Extraction: Advanced engineering to transform unstructured data into actionable business intelligence through custom-trained AI models.

Real-World Proof: The "Iron Bank" DoD Security Solution for Veritone

If you would like to see our technology in action, please look no further than our work with Veritone. We developed a specialized, high-security software environment nicknamed the "Iron Bank": a fortress for processing sensitive data. This project demonstrates Pangeanic's ability to handle massive scale without compromising on the strict security requirements of the world’s leading AI ecosystems.

Massive Scalability: Engineered to process and translate millions of data points with near-zero latency within Veritone’s aiWARE orchestrator.
Military-Grade Security: A "zero-leakage" architecture where data remains encrypted and isolated, fulfilling the most demanding governmental and enterprise secrecy protocols.
Custom AI Orchestration: Seamless integration of our Neural MT engines into complex, multi-modal AI workflows for global media and legal analysis.

BYD USE CASE: Adaptive Machine Translation. Deep Adaptation for Chinese - Japanese - English

The leading Chinese EV manufacturer applies in-context, localized translations across platforms and document translations for marketing and other content types. Our private cloud uses Deep Adaptive AI Translation (DAAIT), providing custom translation between Chinese and Japanese & English, exactly as BYD expects.

Translator productivity has grown by x4 and x5, saving 70% of translation time, enabling BYD's localization department to translate far more content and engage with and reach out to customers more often - while maintaining style and terminology. See BYD Use Case.

USE CASE: Integrate Machine Translation like News Agency EFE

The largest Spanish news agency decided on a private-cloud approach, integrating a combination of a translation-specific small language model, and neural engines. We serve over 1,000 journalists every day around the clock and around the world, translating an average of 45 million words per quarter to facilitate the publication of news, content, and reports.

From 400 to more than 2,000 news articles per day (x5 more!!). See Use Case.

USE CASE: Integrate Machine Translation like Veritone

Veritone began using our SaaS machine translation models in 2018. They liked it so much that they requested a custom development to be integrated into their infrastructure. Our machine translation engine farm is deployed on-premises to manage Veritone's internal AI processes, providing 90% annual savings, and it is fully orchestrated by their proprietary aiWARE orchestrator.

Their work involves cutting-edge processing of U.S. law enforcement transcripts and advanced support for forensic analysis of hard drives and audio recordings. See Use Case.

Integrate Document Machine Translation via ECO like Omron

Omron uses a subscription to machine translate technical documents for its operations in several countries. The corporation saves 90% on costs compared to human translation, and translated documents are delivered in minutes with approved corporate terminology.

Ideal for the translation of large volumes of text with human fluency

More than 200 languages

LLM-based post-editing for higher accuracy using Deep Adaptive AI Translation

Automatic post-editing (or human review services)

Adaptive models that reflect the corporatarion's, enterprise or organization's terminology and style

Terminology, tone and style adaptation

Saves time and money

Private cloud hosting or on-premises deployments

Instead of reading about it, try ECO TRANSLATE!

Put Pangeanic's Machine Translation to the test and let technology work for you. With our free translation dashboard, you can experience the quality and accuracy of our machine translation. ECO Translate (previously PangeaMT) has been developed collaboratively by our team of AI professionals and expert linguists from all over the world.

Try ECO Translate our machine translation software

Quality Estimation and Evaluation Metrics

Machine translation quality cannot be assessed reliably using a single metric or a purely automatic approach. In enterprise environments, quality evaluation must reflect real-world usage, domain specificity, and regulatory requirements. Pangeanic combines industry-standard automatic metrics with human-in-the-loop evaluation to ensure that translation quality aligns with operational, legal, and linguistic expectations.

When BLEU is misleading (domain shift): BLEU scores can degrade significantly when models are applied outside the domain in which they were trained. In legal, medical, or technical content, lexical variation and domain-specific terminology often cause BLEU to underestimate real translation quality or fail to reflect critical errors.
Why COMET correlates better with human judgment: COMET is a neural evaluation metric trained to approximate human judgment. It captures semantic adequacy and contextual correctness more effectively than n-gram–based metrics, making it more suitable for enterprise quality assurance workflows.
How we evaluate by domain (legal, medical, technical): Pangeanic evaluates machine translation quality separately for each domain using domain-adapted test sets, human expert review, and metric analysis. This approach ensures that quality thresholds are aligned with the specific risk, compliance, and accuracy requirements of each industry.

Spanish IRS

With 25,000 registered users, the Spanish Tax Agency uses a private SaaS to translate legal and tax documentation, Intellectual Property, international claims with other tax authorities worldwide.

Mosaic Media

Mosaic Media is an EU Project where Pangeanic's machine translation is used to translate subtitles for European broadcasters.

Omron

Machine Translation of technical product sheets, with full docx /pdf reconstruction.

IBWC

Fast Machine Translation API to translate within a CAT-tool environment (MemoQ). This Texas-based US government agency translates politically sensitive documents, hydrology reports, and policies on water rights.

Pangeanic has been selected 10 times to provide machine translation services to successful EU projects such as Europeana Collection, GreenScent, create a grid of neural machine translation (NMT) models for Public Administrations, among others.

Data Sovereignty with Pangeanic's Machine Translation based on small AI models

Dimension	Pangeanic Enterprise MT	Generic Public MT
Deployment Model	Private / Dedicated Public	Shared Infrastructure
Data Retention	Zero-retention	Often retained for model improvement
Model Adaptation	Domain-adapted MT (neural and task-specific small LMs)	Generic models
Terminology Control	Full (glossaries, DNT rules)	Limited
Compliance	GDPR / Data Sovereignty	Varies
Human Oversight	Human-in-the-loop available	Not available

Quality and Evaluation Metrics

Pangeanic evaluates machine translation quality using industry-standard metrics such as BLEU and COMET, combined with human-in-the-loop review workflows. This hybrid approach ensures that automated scores are aligned with real-world linguistic accuracy and regulatory requirements.

We also use human experts for evaluation in every custom-made deployment (neural or small AI model).

When BLEU is misleading (domain shift)
Why COMET correlates better with human judgment for enterprise QA
How you run evaluation per domain (legal/medical/tech)

Translate any type of document

Whether you need legal contracts, technical reports, instruction manuals or extensive web content, our Machine Translation system is designed to handle any type of document, regardless of its format, complexity or size.

Imagine the benefits of being able to upload your documents to our platform and get fast and accurate translations in several languages, without changing your original layout.

Save time, resources and, above all, make your business more agile and efficient.

Translate into any language

If you need to communicate with foreign partners and customers or you are thinking of entering new international markets, PangeaMT is the perfect solution for you. Our system is designed to provide fast and accurate translations in a wide variety of languages and combinations.

Take advantage of new business opportunities anywhere in the world, regardless of the target audience's language.

Accurate translations for your industry

We understand that each industry has its own set of technical terms and specialized language requirements. That is why we pride ourselves on having a team of highly trained linguists who are familiar with the nuances and particularities of each field. Whether you need to translate medical, legal, technical, financial or any other type of documents, our Machine Translation guarantees impeccable accuracy.

PangeaMT is not an ordinary kind of Machine Translation; it not only uses advanced algorithms, but also combines this technology with the valuable experience of professional linguists to provide the terminology, tone and cultural references that your translation needs.

Total data security

Data security is a top priority for us. We understand how valuable our clients' confidential information and documents are, which is why we offer Machine Translation service in the cloud or in a private facility that meets all security and privacy standards.

Cheap is expensive. Do not think twice about hiring a professional service that will help your business succeed.

Legal texts (international litigation) and law firms

Financial institutions (banks, etc.)

E-commerce

Social networks

Governments and public administrations

Tourism, travel, hotel and hospitality businesses

Media and communication

Translation companies

Printing/publishing companies

Want to experience a new level of Machine Translation? Try our Deep Adaptive technology on our ECO platform to obtain customized translations.

Enjoy a new level of Machine Translation

Frequently Asked Questions

When should machine translation be combined with human review?

Machine translation is effective for high-volume, low-risk content. For regulated, brand-sensitive, or legally binding content, machine translation is typically combined with human review or post-editing to ensure accuracy and compliance. Pangeanic offers both options.

What is the difference between neural machine translation and task-specific language models?

Neural Machine Translation (NMT) and task-specific language models differ fundamentally in their architectures and training, even if both can be fine-tuned on a specific customer’s data.

Neural Machine Translation (NMT) uses a classic encoder-decoder (sequence-to-sequence) architecture trained end-to-end for translation. An encoder reads the source text and transforms it into an abstract representation; a decoder generates the translation from that representation. This design is optimized to map whole sentences between languages, improving accuracy, consistency, and coverage of linguistic structure.

By contrast, many task-specific language models used for translation are derived from next-token prediction frameworks. They can be fine-tuned to translate (or perform other tasks), but the underlying mechanism remains next-token prediction rather than a dedicated encoder-decoder sequence-to-sequence design.

In practical terms:

NMT systems are purpose-built for translation and are often more efficient and deterministic for high-quality, high-volume translation.
Task-specific small models can be highly relevant when fine-tuned on client data, but they still operate within a generative next-token paradigm.
The choice depends on trade-offs in performance, control, and computational cost.

Industry analysts also expect increased adoption of small, task-specific AI models in operational environments, but they remain distinct in architecture and purpose from traditional NMT systems.

How is machine translation quality measured in enterprise environments?

Quality is evaluated using industry-standard automatic metrics such as BLEU and COMET, combined with human-in-the-loop review processes. This hybrid approach ensures that automated scores align with real-world linguistic accuracy and regulatory requirements.

Is enterprise machine translation safe for confidential or medical data?

Yes, when implemented in private environments. Pangeanic provides zero-retention, GDPR-compliant machine translation systems where data is never reused for training public models, making them suitable for medical, legal, and governmental use.

Is machine translation GDPR compliant?

Machine translation can be GDPR compliant if implemented with privacy-by-design principles. Enterprise-grade MT solutions provide data isolation, controlled access, and zero-retention policies to meet GDPR and data sovereignty requirements.

Can enterprise machine translation be integrated via API?

Yes. Enterprise machine translation platforms provide secure APIs and connectors that integrate with CMS, TMS, document management systems, and custom workflows, enabling scalable and automated translation pipelines.

How does machine translation compare to Large Language Models (LLMs) for translation?

Machine translation models and neural engines are purpose-built for linguistic accuracy, consistency, and scale. While LLMs can generate fluent text, they are not optimized for terminology control, deterministic output, air-gapped use, or compliance. In enterprise settings, MT and LLM translation are often combined within controlled workflows and for different purposes.

What is the difference between enterprise machine translation and tools like Google Translate or DeepL?

Unlike generic MT tools, Pangeanic develops domain-adapted neural engines and task-specific AI models for translation that are trained with customer-specific terminology and reference data, delivering higher accuracy, consistency, and compliance for enterprise use cases. Unlike public tools, it offers data privacy, customization, terminology control, and integration into enterprise workflows.

Our history

Pangeanic was at the forefront of Statistical Machine Translation systems and their development from the very beginning, in the early 2010s. It was the first company in the world to adopt and customize Moses, the first open source Statistical Machine Translation system, creating the first self-training platform (PangeaMT), a precursor to other modern architectures, such as ModernMT or attention models.

After a period of research collaboration with Toshiba, Pangeanic launched its PangeaMT v3. In 2017, Pangeanic adopted the Transformer-based architecture (Deep Neural Networks) and has been working on achieving human parity in Machine Translation systems ever since: this means Machine Translation models that can translate as well as humans. Since 2020, Pangeanic has published numerous academic papers renewing its concept of online learning  (i.e., machines that learn as users translate).

Want to learn more about all our academic and R&D publications on Machine Translation systems and other areas of NLP?  Click here to see our Google Scholar results.

Cloud

Standard engines for general translation (translating documents, sentences, etc.)
In our private cloud infrastructure. Your data is kept safe in its own space or deleted after use.
Standard engines that you can customize with your own data and build your own translation system in our cloud.
Machine Translation API.
Document translator.

In your infrastructure

Customized Neural Machine Translation models with your own or domain-specific data to grow and enhance your own translation system in your own infrastructure or cloud.
Complete machine translation systems (corporate versions) on your own infrastructure.
White label.
Integrated systems (API).
Document translator.

^{Automatic post-editing modules not available in on-premise deployments.}

Optimize your company's translation workflows

Find out more about any particular configurations. Our sales team is ready to help so you can familiarize yourself with AI processes applied to novel machine translation workflows.