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README.md
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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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## 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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