Core Patented Innovations

• Hybrid AI Approach: Our patented methods seamlessly integrate deep learning with symbolic semantic analysis. This hybrid architecture enables context-aware language processing that goes far beyond traditional Natural Language Processing (NLP) techniques — delivering meaning, not just matching.

• Multilingual Semantic Engine: A patented framework that enhances cross-lingual understanding by mapping concepts, not just words. This allows seamless and accurate interaction across multiple languages without the loss of context or nuance.

• Legal & Compliance Automation: Our legal-tech patents extract intent and meaning from unstructured legal documents, enabling automation of complex workflows in compliance, risk management, and public administration.

These patents empower Nalantis to provide next-generation ESG compliance, legal tech, and smart city applications, setting us apart in the AI-driven language technology landscape.

Domain-Based Semantic Matching (Patent BE1027696B1)

One of our key innovations is a domain-aware semantic matching engine designed to improve the precision of talent acquisition. Traditional keyword-based matching often leads to irrelevant results — e.g., linking a candidate with the surname "Baker" to a job in a bakery. Our patented method eliminates such noise through deep context understanding.

How It Works

• Semantic Pattern Recognition
  CVs and job descriptions are analyzed to extract abstract semantic patterns. These patterns are then compared to identify meaningful matches.

• Domain Detection & Scoring
  Through our proprietary Domain Analyzer, each CV is evaluated for relevant professional domains (e.g. legal, engineering, healthcare). This is done by mapping recognized concepts to a multi-layered ontology and ranking them using experience duration, recency, and relevance.

• Timeline-Based Weighting
  A candidate's work history is not treated equally. Our algorithm weighs concepts based on how long and how recently they were applied. For instance, 10 years of recent database experience will score higher than 2 years of outdated programming work.

• Ontology-Driven Precision
  Each concept is normalized and matched to the appropriate domain in our ontology (e.g., "attorney card" → Law Practice License → Domain Legal). This structure enables high-precision tagging and filtering.

• Smart Pruning with Thresholds
  Using a combination of absolute and relative thresholds, we discard irrelevant or weak domain associations to retain only the most meaningful matches.

Why It Matters

By enriching candidate profiles with domain metadata and embedding context into every step of the process, Nalantis ensures:

• More accurate job-to-candidate matches

• Reduced time-to-hire and better quality of hire

• Explainable AI decisions – compliant with GDPR & the EU AI Act

• Seamless integration with classification standards (ESCO, ISCO, COMPETENT…)

AI with Purpose, Patented for Precision

At Nalantis, we believe in transparent, explainable and future-proof AI. Our patented technologies aren't just innovative — they’re practical tools that empower organizations to make faster, smarter, and fairer decisions.