Langops Core
Understand All Customers
ESTeam LangOps Core is a cloud-based AI platform that integrates multilingual knowledge graphs and content repositories to enable efficient bidirectional communication for enterprises worldwide.
IN BRIEF
LangOps Core Explained
ESTeam LangOps Core is your AI application layer for any textual challenges, such as content, search, analytics, classification, or bots.
ESTeam LangOps Core centralizes all language-related activities in your enterprise under one umbrella. Whether it’s managing knowledge, automating translations, recycle content, or prompting Large Language Models, LangOps Core serves as the backbone for a holistic “Language Operations” strategy—much like DevOps revolutionized software development.
ESTeam LangOps Core goes way beyond content creation and translation, by orchestrating multilingual workflows and finetuning and “RAGging” AI to streamline global operations. As a result, organizations can engage global audiences effectively, maintain brand integrity worldwide, and accelerate growth by delivering consistent, context-relevant customer interactions in over 100 languages.
ELEGANCE
Architecture
ESTeam LangOps Core stands on three pillars: knowledge graphs, content repositories, and Large Language Models. At the top, the Core’s Language Factory transforms the linguistic assets harvested from your content creation and translation processes into the foundation of your multilingual, company-specific AI application layer. By leveraging these assets LangOps Core powers and exposes customized Large Language Models. Its AI application layer supports any textual AI initiative in your company while automatically maintaining the underlying knowledge and data assets.
SINGLE SOURCE OF TRUTH
Multilingual Knowledge Graph
The Multilingual Knowledge Graph in the Core is powered by Coreon, an advanced platform for building, managing, and leveraging multilingual domain knowledge and terminology. By centralizing terminologies, product taxonomies, and other domain-specific data into a shared knowledge graph, organizations can unify their information assets across languages, markets, and departments.
Coreon structures your domain knowledge into a graph, where every concept, term, and relationship is stored as a class object. This allows for dynamic expansion as you add new products, services, or target languages. Subject matter experts and linguists easily refine existing terms, add new entries, or remove outdated ones. Versioning and approval workflows ensure that your knowledge base remains accurate and consistent.
Connect Coreon to CMS platforms, authoring tools, or other enterprise systems, making sure that updates to the knowledge system automatically cascade to every relevant channel. Because the knowledge graph maintains a high-fidelity representation of your organization’s knowledge, LLM can be smartly prompted or even fine-tuned to deliver accurate content using your tone of voice.
Knowledge & Terminology Management
- Concept-based modeling: makes it easy to manage synonyms, polysemy (multiple meanings), and nuances across languages.
- Unique Visualization: Unlike legacy term databases, Coreon understands how the concepts relate to each other by storing and visualizing them in a taxonomy or even ontology.
- Easy, collaborative editing: Subject matter experts, linguists, and other stakeholders work together in a matchless user-friendly environment to refine and expand the knowledge graph.
Semantic Annotation
- Find concepts in flowing text with advanced linguistic search.
- Annotate content with concepts, relationships, and metadata.
Multilingual Content Classification
- Create heatmaps to find topics.
- Classify content of variable length
- Move a “topic window” over longer text.
Multilingual RAG (Term Level)
- Ensure that LLM-generated content uses your lingo.
- Enjoy consistent content and avoid outdated or misleading terms.
Language-Agnostic Search
- Let your customers find information and products in any language.
- Smartly rank search results based on concept relevance to avoid scrolling.
Facetting
- Structure longer search results by topic.
- Narrow down search results quickly by applying filters such as concept category or domain.
- Let customer explore and pivot between related concepts.
Why It Matters:
Consistent brand and domain terminology
Centralizing all relevant terms and concepts keeps your global messaging on point—no matter the language or region.
Accurate content and translations
Machine and humans alike have immediate, authoritative references, boosting quality and speed.
Streamlined
governance
A single source of truth eliminates the overhead of managing multiple terminology lists, taxonomies, and classification systems in parallel.
Optimized
AI Outputs
RAGged with curated knowledge LLMs produce more relevant, precise, and engaging content—from chatbot responses, over tech docs, to marketing materials.
By using Coreon within LangOps Core, your enterprise gains a powerful “brain” behind all multilingual activities. This next-level knowledge system not only elevates translation and content quality but also forms the foundation of a scalable, future-proof multilingual strategy—one that adapts as your organization and markets continue to evolve.
HIGH QUALITY Data
Content Repository
The Content Repository is built to ensure high quality data, enhanced by knowledge graphs and ready for deployment in AI.
In translation, traditional translation memory (TM) systems rely on segment-based matching, which strips away context, limits reuse, and make maintenance very hard. The concept of content recycling addresses this limitation by shifting to a more holistic approach that focuses on entire documents, modules, and metadata. This allows enterprise to consolidate their textual assets into a single, centrally managed repository, retaining essential structural and contextual information for future reuse.
In AI, content-level retrieval-augmented generation (RAG) leverages these well-maintained linguistic assets to deliver more precise and context-aware GenAI outputs. By semantically referencing large blocks of coherent content in the repository, RAG can generate responses in multiple languages with a higher degree of accuracy and consistency, reducing the risk of hallucinations or off-brand messaging. Over time, each piece of multilingual content enriches the repository, forming a virtuous cycle of continuous improvement in your AI application layer.
Comprehensive Content Capture
- Instead of confining text to segmented units, our repository stores entire documents and content pieces, preserving structural context.
- The content is linked and indexed using the multilingual knowledge graph, thus forming a semantically annotated language lake.
- The repository is format-agnostic and can thus capture and manage content from web pages, marketing collateral, technical documentation, FAQs, and more—transforming them into a centralized resource.
Contextual Reuse and Recycling
- Advanced matching: Move beyond standard “fuzzy matches” with semantic search that pinpoints the most relevant, context-aware content for reuse.
- Consistent brand voice: Ensure brand-specific terms, style guides, and tone are preserved across different outputs.
- Real-time updates: When content is updated in one language, the changes can be propagated and reused in all relevant target languages.
Sunsetting Legacy TMs
- No silos, better collaboration: unified environment supporting real-time collaboration among language professionals and subject-matter experts.
- Growing content assets: As content is continuously fed into the repository, the system “learns” and refines its ability to precisely reuse context-rich segments.
Multilingual RAG (Content Level)
- Retrieval augmented generation: The Content Repository integrates with the LLM using semantically relevant snippets to produce correct and styled content.
- Content governance: By centralizing entire content libraries, enterprises maintain version control and enforce brand standards.
Seamless Integration & Extensibility
- API: Multilingual content can be requested by using multiple methods, ranging from as simple as using an ID, over using AI, to triggering a human revised translation process.
- Future-proof architecture: Built on a dynamic knowledge infrastructure, new content types, languages, and emerging AI technologies can be easily incorporated.
Why It Matters:
Faster
Time-to-Market
By reusing validated content, you slash production cycles for multilingual marketing campaigns, product launches, or support materials.
Consistent
Experience
Customers, partners, and employees receive the same accurate information in their preferred language—strengthening trust and brand cohesion.
Lower
Translation Costs
Recycling, generation, and automation, while minimizing human work results in immediate cost savings.
Enhanced
Quality
Context-rich matches in an always-evolving repository mean fewer errors and consistent content.
With LangOps Core’s Multilingual Content Repository, you can sunset traditional TMs in favor of a more intelligent, context-driven system—one that not only recycles content efficiently but also elevates quality and consistency across every region and channel.
Generative AI
Large Language Model
LangOps Core features a LLM to power highly accurate, context-aware, and multilingual AI-driven solutions. By leveraging the largely automatically created linguistic asset, the LLM Module transforms data treasures into usable insights, ensuring every facet of your global operations benefits from AI that truly speaks your customers’ languages.
Automatic Fine-Tuning
- Data ingestion of relevant high-quality content – from technical documents to marketing collateral—across multiple languages for fine-tuning.
- Domain & brand adaptation: The LLM automatically learns your specific terminology, tone of voice, and domain knowledge.
- Continuous improvement: As your content evolves, the LLM is iteratively retrained, ensuring it stays current with new concepts and products.
Term & Content RAGged Answers
- Integrated: The LLM taps into the Content Repository for contextual matches and uses Coreon for multilingual knowledge.
- Context-aware generation: Prompted with relevant data, the LLM generates precise answers that reflect the correct concepts, and style, and language standards.
- Reduced Hallucination: Leveraging your approved content and terminology mitigates the risk of AI “hallucinations,” avoiding brand or compliance risks.
Task-Specific Reinforcement Learning
- Adaptive AI: The LLM learns from user feedback to continuously refine its outputs.
- Fine-grained control: Enterprises define rules, constraints, and specific goals (e.g., brand compliance or tone of voice) to guide how the AI responds in different contexts or channels.
- Multiple use cases: From summarization to advanced chatbot dialogues or automated content generation, the LLM can be tuned for a variety of tasks.
Optimal Support for Over 100 Languages
- Global reach: The AI application layer is built to handle more than 100 languages, ensuring a consistent experience for your international customers and teams.
- Multilingual data enrichment: By pooling data from various languages, your AI model gains a broader perspective to maintain brand consistency globally.
- Language switching: The model can detect and respond accurately even when users switch between domains and languages in the same query.
Why It Matters:
Many organizations possess a wealth of untapped, multilingual data—ranging from old PDF manuals in multiple languages to localized marketing assets and user-generated feedback. Wirth the LangOps Core LLMs you will:
Reuse High-Value Data
Automatically discover and prioritize the content that will most improve AI performance, such as domain-specific terms or carefully vetted translations.
Prepare & Cleanse
Normalize and align your data (e.g., standardizing terminology, removing duplicates, fixing formatting), ensuring that only high-quality, context-rich input is used for AI.
Achieve Faster ROI
By using a multilingual LLM built on your unique linguistic assets, you accelerate time-to-value and set a foundation for scalable AI solutions across the enterprise.
LangOps Core LLM demystifies the process of building a robust, multilingual AI pipeline. By discovering your hidden “data treasures” and continuously fine-tuning the model with domain-specific knowledge, you ensure every AI-driven application delivers the accuracy, consistency, and cultural nuance your global audience expects
orchestration
Language Factory
The Language Factory is the orchestration layer of LangOps Core, designed to streamline and automate every step of multilingual content production while harvesting the data to keep knowledge and AI up-to-date. It combines a powerful AI-driven engines with flexible integrations and data governance, giving enterprises complete control over their content workflows, linguistic assets, and performance metrics.
In order to deploy and support GenAI modern enterprises need a robust centralized production and harvesting of multilingual content at scale. The Language Factory achieves this by integrating new AI technologies. Automation frees up your content teams for higher-value activities such as maintaining knowledge and curating high quality data.
With the Language Factory you own the process, have full visibility and control, and gain complete data sovereignty. Since it is a vendor-neutral platform, you can seamlessly swap or add MT engines, LLMs, and also service providers as your needs evolve. Centrally collected process data allow to perform advanced analytics, measure performance across multiple providers, and continuously train your AI models with real-world feedback.
Standard Content Connectors
- Seamless integration: Out-of-the-box connectors for popular CMS, PIM, eCommerce, and collaboration tools.
- Scalable architecture: Easily add or swap connectors without rebuilding your workflow from scratch.
Translation Automation
- Efficient workflow: Automate the end-to-end content creation or translation process.
- Unify recycling and GenAI: combine best strategies to produce high quality content.
Machine Translation Interface
- Multiple engines: switch between best-or-breed NMT or LLMs per language pair.
- Flexible engine selection: Match each content type (e.g., legal, technical, marketing) with the optimal NMT engine to maximize quality.
AI Auto-Correction & Quality Estimation
- Automatically detect and correct errors in machine-translated content before human review.
- Compute quality scores for texts, allowing you to prioritize critical segments and resources accordingly.
Linguistic Assets Management
- Automatically update your core linguistic assets: content repository and multilingual knowledge graph.
- Continuous Learning: Feed updated content back into your system for constantly improved accuracy.
LSP Marketplace
- On-Demand services: Quickly source professional linguists or specialized Language Service Providers (LSPs) for high-stakes projects.
- Flexible assignment: adapt to fluctuating workloads and tight deadlines while using the best human resources.
Quality Assurance
- Automated checks: Validate named entities, terminology usage, and style compliance at scale.
- Custom QA rules: Tailor QA checks to different content types, languages, or brand-specific guidelines.
Business Intelligence
- Analytics & Reporting: Track translation turnaround times, cost metrics, quality scores, and provider performance—all in one dashboard.
- Data-driven decisions: Identify bottlenecks, optimize resource allocation, and refine your language strategies based on real-time insights.
Why It Matters:
Faster Delivery,
Lower Costs
Streamlined workflows, automated QA, and efficient reuse of linguistic assets dramatically reduce turnaround times and expenses.
Consistent
Brand Quality
Centralized control over terminology and style ensures every piece of multilingual content remains faithful to your brand identity.
Scalable
to New Markets
Plug-and-play integrations and a flexible AI stack let you easily expand into new languages or content channels.
Future-Proof
Innovation
As the AI landscape evolves, the Language Factory’s modular design allows you to integrate cutting-edge innovations without disrupting your existing processes.
With the Language Factory, your enterprise doesn’t just create and translate content—it orchestrates, refines, and continuously improves how you communicate across every market and language. At the same time the Language factory harvests linguistic assets to power any textual AI application.
PUT TO WORK
Use Cases for Multilingual AI
Global Marketing Campaigns
Streamline campaign content translation and ensure consistent brand messaging worldwide.
Enterprise Knowledge Base
Transform internal or customer-facing documentation into a multilingual knowledge base, powered by AI-driven classification and search.
Compliance & Legal Documentation
Automatically translate and manage sensitive content with consistent terminology and rigorous QA checks.
Product Launches Across Regions
Leverage connectors for real-time content updates and translations for faster time-to-market in multiple languages.
Customer Support Automation
Enable chatbots and support portals with domain-specific LLM responses in over 100 languages.
UPWARDS
Benefits
Expanded Global Reach & Market Penetration
Multilingual AI applications break language barriers, allowing businesses to connect with diverse audiences and enter new markets seamlessly..
Improved Credibility & Trust Globally
High-quality, accurate, and culturally sensitive AI applications build trust with users, regardless of their language or location.
Competitive Advantage by using AI
Integrate high-quality, multilingual AI solutions to stand out by understanding your customers and communicating with them in the right way.
Cost & Time savings
Automate repetitive tasks. Introduce multilingual AI agents to support efforts managed by humans.
Scalable & Future-Proof
Built to seamlessly and flexibly include new technologies and carry evolving enterprise needs.
CUSTOMIZATION and OPERATION
Professional Services
Below is a concise overview of our professional service offerings for LangOps Core, designed to help you integrate, optimize, and get the most value from our platform:
LangOps Core Operator
Our dedicated LangOps Core Operator service provides an experienced professional who manages all operational aspects of your multilingual AI and content workflows. From configuring advanced features to monitoring performance, this specialized operator ensures your LangOps Core environment runs smoothly and evolves alongside your business needs.
Human Translation Services
When high-stakes or creative content requires expert attention, our network of professional linguists steps in. We provide Human Translation Services for specialized domains—marketing collateral, legal documents, technical manuals, and more—where human expertise and cultural nuance are essential to maintain top-quality standards.
Multilingual AI Solutions
Our expertise in LangOps Core data and multilingual AI enables the development of intelligent agents that analyze, interpret, and respond dynamically across languages and cultures. By leveraging NLP, machine learning, LLMs, and adaptive AI frameworks, we help businesses create AI-driven solutions that improve customer experiences at scale.
Data Migration
Merging legacy systems and data into LangOps Core can be challenging. Our Data Migration service streamlines this process by auditing existing data formats (e.g., TMs, glossaries, or knowledge bases), cleaning and aligning the content, and importing it into our platform. This guarantees minimal downtime and maximum preservation of valuable linguistic assets.
Taxonomization
Establishing a coherent, structured system for classification is the backbone of multilingual knowledge management. Our Taxonomization service helps you define robust taxonomies tailored to your industry, products, or internal processes. By creating a unified classification scheme, you gain clarity and consistency across languages, regions, and organizational silos.
Multilingual Knowledge Curation
High-quality AI outcomes rely on accurate domain and linguistic data. Our Experts can help to maintain and refine your multilingual knowledge graph. This continual curation ensures that your content process deliver precise, context-aware responses in every supported language.
HUMAN-in-the-loop
LSP Marketplace
LSP Marketplace is a key component of the LangOps Factory that delivers on-demand linguistic expertise by connecting you with a network of modern Language Service Providers (LSPs). Through this platform, organizations can seamlessly source professional linguists for high-stakes or highly specialized projects—particularly for content segments where AI-driven Quality Estimation indicates a human touch is necessary to preserve brand integrity, nuance, or cultural appropriateness.
How it Works
Key Benefits
Guaranteed Quality
All LSPs and linguists in the Marketplace are certified by the LangOps Institute, ensuring alignment with global best practices and standards.
Faster Turnaround Times
Automated triaging and a dynamic claiming pool significantly reduce lead times for high-stakes projects.
Specialized Expertise
Easily tap into subject-matter experts across multiple industries and languages, ensuring accurate and context-aware translations.
Brand Consistency
Centralized management of terminology and style guides keeps your brand voice consistent—even as different linguists handle different parts of a project.
Cost Efficiency
By combining AI automation with targeted human intervention only where necessary, you optimize both budget and effort.
ROI
Licensing & Pricing
The ESTeam LangOps Core is offered as a cloud-based solution with modular components and services. For ease of procurement it includes all its modules and capabilities as listed below. LangOps Core customers only pay a monthly license fee, support and maintenance, and hosting costs.
Customization efforts such as custom content connectors, workflow adoptions, or SSO setup are billed at attractive, agreed flat rates.
The LangOps Core Foundation removes the hurdles to enter the world of LangOps and to enjoy its benefits. It includes license fee and support & maintenance for the first two years at a very lucrative rate!
| Modules & Capabilities | LangOps Core Foundation | LangOps Core |
|---|---|---|
| Multilingual Knowledge System | ||
| Knowledge and Terminology Mgmt | ✓ | ✓ |
| Multilingual Content Classification | ✓ | ✓ |
| Semantic Annotation | ✓ | ✓ |
| Multilingual RAG (term level) | ✓ | ✓ |
| Language-agnostic Search | ✓ | ✓ |
| Faceting | ✓ | ✓ |
| Content Repository | ||
| Content Recycling | ✓ | ✓ |
| Translation Reuse | ✓ | ✓ |
| Multilingual RAG (content level) | ✓ | ✓ |
| Large Language Model | ||
| Automatically fine-tuned | ✓ | ✓ |
| Term and Content RAGged answers | ✓ | ✓ |
| Content Creation (TechDocs, etc.) | ✓ | ✓ |
| Marketing Texts and SEO | ✓ | ✓ |
| Multilingual Customer Support | ✓ | ✓ |
| Task-specific Reinforcement Learning | ✓ | ✓ |
| Optimal support for >100 languages | ✓ | ✓ |
| Language Factory | ||
| Translation Automation | ✓ | ✓ |
| Standard CMS Connectors | ✓ | ✓ |
| Machine Translation Interface | ✓ | ✓ |
| AI Auto-correction | ✓ | ✓ |
| Quality Estimation | ✓ | ✓ |
| Linguistic Assets Management | ✓ | ✓ |
| LSP Marketplace | ✓ | ✓ |
| Quality Assurance | ✓ | ✓ |
| Business Intelligence | ✓ | ✓ |
| Others | ||
| Support and Maintenance | ✓ | ✗ |
| Hosting | ✗ | ✗ |
| Operators | ✗ | ✗ |
Ready to supercharge your enterprise with a robust, AI-powered multilingual strategy?
Contact our sales team to learn more about how LangOps Core can integrate seamlessly into your existing workflows and help you scale your global presence.
