Gadget Software

Gadget Software converts unstructured enterprise data into compute-ready data.
We focus on making enterprise data easier for both people and machines to search, understand, verify, and use.

We build software that prepares documents and other unstructured information for AI, analytics, search, and operational systems.
Our platform transforms raw enterprise content into structured, enriched, and queryable data while preserving context, document continuity, governance, and traceability.

Areas of focus

Gadget Software focuses on:

• Unstructured data to compute-ready data
• Enterprise data preparation
• Document processing and enrichment
• Information extraction
• Entity and keyword extraction
• Topic and relationship modeling
• Enterprise search and retrieval
• Retrieval-augmented generation
• AI agents and business intelligence
• Regulatory and policy intelligence
• Data lineage, traceability, and governance

TopicLake™ Insights Engine

TopicLake™ Insights Engine is Gadget Software’s product for converting unstructured documents into compute-ready data.
It organizes content into logical units and enriches it with topics, metadata, entities, keywords, relationships, classifications, and source references.

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.\

The TopicLake™ Insights Engine is designed to address the limitations of traditional document-processing and RAG pipelines.
Instead of treating documents as flat text and splitting them only by arbitrary token or character limits, TopicLake organizes content into logical, addressable units.

The resulting compute-ready data can include:

• Structured content organized by topic
• Document order and relational context
• Summaries and enriched metadata
• Named entities and classifications
• Semantic and lexical search signals
• Source references for verification and audit

TIE → CRD → QuOTE → FLITE

TopicLake uses a four-stage architecture:

• TIE transforms unstructured content into structured, addressable units.
• CRD stores and organizes the enriched data in a relational substrate.
• QuOTE retrieves relevant information using intent matching, semantic search, and a BM25 lexical safety net.
• FLITE assembles continuous context and supports source traceability and human inspection.

This approach is designed to help downstream systems like AI, Agentic AI, or other applications, work with more complete, relevant, and verifiable context.

Applications

Compute-ready data from TopicLake can support:

• Enterprise search
• Retrieval-augmented generation
• AI agents
• Business intelligence
• Chatbots
• Knowledge graphs
• Document-based operational workflows

Gadget Software focuses on making enterprise data easier for both people and machines to search, understand, verify, and use.

Hugging Face organization

This organization will host Gadget Software’s public models, datasets, Spaces, demonstrations, evaluation materials, and technical resources as they become available.

Each repository will include its own documentation, usage guidance, licensing information, and limitations.

Explore Gadget Software

This Hugging Face organization showcases how Gadget Software converts unstructured data into compute-ready data using the TopicLake™ Insights Engine.

Explore our work:

• Federal Register Enriched Dataset — a structured and enriched representation of Federal Register documents
• Gadget Software website — information about the company, product, architecture, and applications
• Gadget Software on LinkedIn

As additional public resources become available, this organization will include datasets, Spaces, notebooks, models, demonstrations, and evaluation materials.

Contact

Want to convert your unstructured enterprise data into compute-ready data?

Contact Gadget Software at contact_us@gadgetsoftware.com.