Multilingual Words.
Semantic Intelligence.
API Ready.

Unlock the power of our semantic word graph – fueling smarter AI, richer language learning, and global innovation.

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Features

Features built for language-aware AI

Tap into our language graph to enrich your AI with semantic awareness, domain expertise, and multilingual capabilities.

Knowledge Graph

A structured, language-native graph that links words, meanings, and relations — designed for seamless AI integration and real-time semantic reasoning.

Semantic Relationships

Words are contextually bound to their synonyms, antonyms, hypernyms, and more, helping AI understand nuance, ambiguity, and meaning beyond isolated terms.

Enriched Content

Each entry is augmented with real-world usage, inflectional forms, and example sentences, allowing AI to model human-like comprehension and expression.

Domain Categorization

Terms are classified by field — law, medicine, tech, etc. so your AI can apply domain-specific logic, improving results in tasks like classification and semantic search.

Definitions

Every word includes precise, structured definitions with layered meanings - critical for tasks that require accurate interpretation and disambiguation.

Multilanguage

Cross-lingual mappings connect semantically equivalent terms across languages, enabling AI to reason and operate in multilingual environments seamlessly.

Features

Features built for language-aware AI

Tap into our language graph to enrich your AI with semantic awareness, domain expertise, and multilingual capabilities.

Digilex

The detailed Norwegian-English dictionary for teachers and learners – with full conjugation and practical examples

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Synonym.no

Explore synonyms, antonyms, and related terms for words – Norway's most comprehensive semantic network

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Unlock Business Value and Competitive Advantage with Intelligent Language Technology

Our graph database represents a technological breakthrough for organizations aiming to lead in AI and data-driven innovation. By structuring and interlinking linguistic knowledge across domains and languages, we empower AI systems with an unparalleled ability to understand, analyze, and generate relevant information—instantly and with high precision. This provides companies with a solid foundation to develop smarter products, enhance customer interactions, streamline internal processes, and unlock new revenue streams.

Investing in our solution means positioning your business for the future, where intelligent management of language and knowledge will be critical for growth, profitability, and long-term competitiveness.

Knowledge Graph
Use Cases

How Can Syntelligo Elevate Your AI Applications?

Syntelligo’s comprehensive data model is designed to unlock the full potential of your AI solutions. By providing meticulously structured, enriched, and interconnected language data—including definitions, word forms, and hierarchical semantic relationships—Syntelligo ensures your AI applications operate with greater accuracy, reliability, and contextual understanding.

With Syntelligo, your AI models benefit from:
  • Enhanced precision and relevance:
    Our AI-ready data minimizes errors and hallucinations, enabling your models to deliver more trustworthy and actionable results.
  • Accelerated insights and innovation:
    Clean, well-organized data shortens development cycles and empowers your teams to deploy advanced features—such as semantic search, personalized recommendations, and multilingual support—faster than ever.
  • Scalability and flexibility:
    Our standardized, domain-rich data model adapts seamlessly to new use cases, languages, and business requirements, supporting your growth and innovation strategies.
  • Competitive advantage:
    High-quality, interconnected data is a strategic asset that differentiates your AI offerings, enabling smarter automation, better customer experiences, and data-driven decision-making.
Leverage Syntelligo to build AI applications that are not only more intelligent, but also more adaptable, efficient, and aligned with your organization’s goals.

Educational Tools and Platforms

Scenario: Developing intelligent tutoring systems that can interpret students' queries and provide explanations, feedback, or guidance in a contextually relevant way.

Benefit: Personalizes learning experiences and improves educational outcomes by adapting to individual students' language and learning needs.

Health Informatics

Scenario: Analyzing patient data, research papers, and clinical notes to extract relevant information, identify patterns, and support decision-making in healthcare.

Benefit: Facilitates faster and more accurate diagnoses, personalized treatment plans, and advancements in medical research.

Customer Service Chatbots

Scenario: Automating customer support with chatbots that can understand and respond to customer inquiries in a nuanced and context-aware manner.

Benefit: Increases efficiency by handling routine inquiries, reduces response times, and improves customer satisfaction.

Content Analysis and Categorization

Scenario: Analyzing large volumes of text to identify themes, sentiment, or categorize content automatically.

Benefit: Helps businesses gain insights from unstructured data, improving content strategy and personalization.

Semantic Search Engines

Scenario: Enhancing search engines to understand the intent and contextual meaning behind search queries, providing more relevant and accurate results.

Benefit: Improves user experience by delivering search results that closely match the users' needs, even with complex or nuanced queries.

Language Translation Services

Scenario: Providing more accurate and context-aware translations by understanding the subtleties and nuances of the source and target languages.

Benefit: Bridges communication gaps in multilingual environments, enhancing globalization efforts by businesses.

Virtual Personal Assistants

Scenario: Improving the capabilities of virtual assistants to understand and execute complex commands given in natural language.

Benefit: Enhances user experience by making interactions more natural and efficient, and expanding the range of tasks that can be automated.

Sentiment Analysis for Social Media and Market Research

Scenario: Monitoring social media and other online platforms to gauge public sentiment about brands, products, or events.

Benefit: Provides businesses with real-time insights into public perception, helping to inform marketing strategies, product development, and customer service approaches.

Legal Document Analysis

Scenario: Automatically analyzing legal documents to extract relevant information, identify precedent, and assist in legal research.

Benefit: Reduces the time and effort required for legal research, improving the efficiency of legal professionals and potentially increasing access to legal assistance.

FAQ

Any Questions? Look Here

Here are some of the most frequently asked questions about our product. If you have any other questions, please feel free to contact us.

When will Syntelligo be available?

The platform is currently in the beta phase and will be available for public use soon. In the mean time, you can contact us for a demo or to learn more about the product.

How does Syntelligo enhance AI applications?

By integrating Syntelligo, AI applications gain the ability to understand context, subtlety, and the complexities of language, leading to more accurate and nuanced interactions, improved user experiences, and more effective processing of linguistic data.

Can Syntelligo be integrated with any AI system?

Yes, Syntelligo is designed for flexibility and can be integrated with a wide range of AI systems. Our platform offers API access and detailed documentation to facilitate smooth integration across different technologies and frameworks.

How can businesses or developers get started with Syntelligo?

Getting started with Syntelligo is simple. Interested parties can sign up on our website to access our API keys and documentation. From there, they can follow our step-by-step guides for integrating Syntelligo into their AI applications.

How does Syntelligo handle multiple languages?

Syntelligo supports multiple languages by linking words across languages within its knowledge graph. This allows AI systems to understand and process language in a variety of contexts, enabling more effective global communication.

Is Syntelligo Well-documented?

Yes, Syntelligo is well documented, following industry standards to ensure that developers and businesses can easily integrate and leverage our data model. Our documentation includes comprehensive guides, examples, and best practices to facilitate a smooth integration process.

How does Syntelligo ensure data privacy and security?

Syntelligo prioritizes data privacy and security by adhering to strict data governance policies and employing state-of-the-art security measures. We ensure that all data processed through our platform is handled with the utmost care and in compliance with relevant regulations.

CONTACT US

Let's talk how we can help

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