We implement AI-powered search solutions that understand context, semantics, and user intent. iKomet builds enterprise search across documents, digital assets, and data lakes using NLP, metadata tagging, and vector-based retrieval techniques.
What We Do
Core Offerings
AI-Powered Semantic Search
Leverage ML and NLP for context-aware, relevance-ranked search results.
Federated Search across Repositories
Connect and search across documents, emails, intranets, and legacy content systems.
Auto Classification & Tagging
Automatically categorize content using AI-based models and domain taxonomies.
Summarization & Entity Extraction
Use NLU to generate concise summaries and extract relevant data entities.
We don't Generalize. We Customize.
Let’s connect to craft solutions tailored to your business goals
— not templates.
— not templates.
How We Deliver
Implement vector search and hybrid retrieval systems using Elasticsearch, Pinecone, or Azure AI Search
Ingest enterprise content from multiple sources including ECMs, CRMs, and file systems
Enable semantic search using NLP, embeddings, and metadata enrichment
Build context-aware ranking and recommendation engines
Integrate search UX with filters, suggestions, and conversational interfaces