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Update README

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@@ -18,8 +18,29 @@ We focus on making enterprise data easier for both people and machines to search
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  We build software that prepares documents and other unstructured information for AI, analytics, search, and operational systems.\
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  Our platform transforms raw enterprise content into structured, enriched, and queryable data while preserving context, document continuity, governance, and traceability.
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  ## TopicLake™ Insights Engine
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  The TopicLake™ Insights Engine is designed to address the limitations of traditional document-processing and RAG pipelines.\
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  Instead of treating documents as flat text and splitting them only by arbitrary token or character limits, TopicLake organizes content into logical, addressable units.
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  Each repository will include its own documentation, usage guidance, licensing information, and limitations.
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- Learn more on the [Gadget Software website](https://www.gadgetsoftware.com/) or follow Gadget Software on [LinkedIn](https://linkedin.com/company/gadget-software).
 
 
 
 
 
 
 
 
 
 
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  ## Contact
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  We build software that prepares documents and other unstructured information for AI, analytics, search, and operational systems.\
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  Our platform transforms raw enterprise content into structured, enriched, and queryable data while preserving context, document continuity, governance, and traceability.
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+ ## Areas of focus
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+ Gadget Software focuses on:
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+ - Unstructured data to compute-ready data
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+ - Enterprise data preparation
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+ - Document processing and enrichment
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+ - Information extraction
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+ - Entity and keyword extraction
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+ - Topic and relationship modeling
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+ - Enterprise search and retrieval
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+ - Retrieval-augmented generation
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+ - AI agents and business intelligence
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+ - Regulatory and policy intelligence
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+ - Data lineage, traceability, and governance
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  ## TopicLake™ Insights Engine
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+ TopicLake™ Insights Engine is Gadget Software’s product for converting unstructured documents into compute-ready data.\
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+ It organizes content into logical units and enriches it with topics, metadata, entities, keywords, relationships, classifications, and source references.
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+ TopicLake™ is designed to support enterprise search, retrieval-augmented generation, AI agents, business intelligence, and other data-intensive applications while preserving context, continuity, governance, and traceability.\
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  The TopicLake™ Insights Engine is designed to address the limitations of traditional document-processing and RAG pipelines.\
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  Instead of treating documents as flat text and splitting them only by arbitrary token or character limits, TopicLake organizes content into logical, addressable units.
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  Each repository will include its own documentation, usage guidance, licensing information, and limitations.
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+ ## Explore Gadget Software
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+ This Hugging Face organization showcases how Gadget Software converts unstructured data into compute-ready data using the TopicLake™ Insights Engine.
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+ Explore our work:
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+ - [Federal Register Enriched Dataset](https://huggingface.co/datasets/GadgetSoftware/federal-register) — a structured and enriched representation of Federal Register documents
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+ - [Gadget Software website](https://www.gadgetsoftware.com/) — information about the company, product, architecture, and applications
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+ - [Gadget Software on LinkedIn](https://linkedin.com/company/gadget-software)
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+ As additional public resources become available, this organization will include datasets, Spaces, notebooks, models, demonstrations, and evaluation materials.
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  ## Contact
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