One Platform. All Your Data. Complete Privacy.
A unified AI system enabling natural language queries across all your data sources — documents, databases, and images — with every computation happening entirely within your own infrastructure. No cloud. No exposure. No compromise.
PDFs, Excel, Word, and scanned images with OCR — fully indexed and semantically understood
LLM reasoning with RAG — retrieves relevant context before generating answers
Ask questions in plain English; the system translates to SQL with business context awareness
Every token processed locally — your data never leaves your network perimeter
Ingest PDFs, Excel workbooks, Word documents, and scanned images — including hand-written forms and charts. Our OCR pipeline extracts and semantically understands content that traditional search engines cannot index, making every page of every document instantly queryable.
Business users ask questions the way they think — in plain English. Data Bridge translates those questions into precise SQL queries with full awareness of your database schema and business terminology. No SQL knowledge required. Analysts ask; the platform answers.
Multi-turn conversations that retain context across questions — so users can ask follow-ups naturally without re-stating what they already established. The system understands "show me more of that" and "compare it to last year" because it remembers the thread of the conversation.
One query. Every data source. Data Bridge searches across documents and databases simultaneously, synthesizing answers from multiple sources in a single response. Users get a complete picture without manually checking multiple systems or knowing where data lives.
Documents and database connections are loaded. Files are parsed, OCR applied where needed, and content is chunked for semantic processing.
Content is converted to vector embeddings using a local embedding model and stored in an on-premise vector database — no cloud calls made.
When a question is asked, relevant context is retrieved via semantic similarity search and, where applicable, a SQL query is generated for database sources.
A local LLM synthesizes the retrieved context into a clear, attributed answer — with citations back to source documents or database records.
Whether you're in healthcare, legal, finance, government, or any industry where data sensitivity matters, Data Bridge was designed from first principles to keep every piece of information inside your own walls.
There are no API calls to OpenAI, Anthropic, Google, or any external service. The model runs locally. The index lives locally. The answers are generated locally. Your data is yours — completely.
Discuss Your Use CaseNo data ever leaves your network. No external API calls. No telemetry. Nothing transmitted outside your infrastructure perimeter.
The system operates entirely offline after initial setup. Fully air-gapped deployments are supported for the most sensitive environments.
No per-token usage fees. No subscription to an AI provider. After deployment, operational costs are limited to your own hardware.
You choose the hardware, the LLM model, the vector store, and the deployment topology. Nothing is locked to a vendor's platform.
Talk to us about deploying Data Bridge Intelligence Platform in your organization.