Solutions
Purpose-built tools for extracting and interrogating document data, combining deterministic precision with semantic flexibility and auditable results.
The Foundation
Structure-preserving ingestion
Our AI-powered ingestion pipeline uses vision models to read documents the way a human would — preserving table structures, layout, and contextual relationships that traditional text extraction destroys. Files are processed page-by-page, with tables stored in their original row and column form rather than flattened into text.
Every document is then dual-indexed for both semantic vector search and full-text keyword search, so retrieval can match on meaning and exact terminology — the foundation that makes the rest of the platform possible.
The Engine
Powered by our Hybrid Retrieval Engine
Precise and auditable extraction of data from your documents, pairing deterministic retrieval with semantic flexibility so you can choose the right balance of precision and reasoning. Queries traverse the fallback chain with a full diagnostics trail — every answer traceable, every retrieval step logged, every result inspectable — so you can trust the numbers and defend the workings.
Three AI driven retrieval strategies, one fallback chain, full auditability.
Uses an AI Agent to identify candidate tables and row/column mapping, then performs a purely programmatic lookup against the table, with no further AI involvement.
Uses an AI Agent to identify candidate tables and row/column mapping, then performs an AI guided retrieval. Best suited where DTR may struggle due to inconsistent formatting, merged cells, or poor document quality.
Uses advanced Hybrid Search techniques to retrieve the most relevant content for the AI Agent to generate an answer. Best for free-text questions and for semantic fallback when table retrieval fails.
Purely Programmatic
No LLMs. No hallucinations. No tokens.
Need extractions with zero AI risk? Once a document has been ingested, Probuck.ai can also perform precise extractions from known locations without any further AI involvement. No hallucinations and zero token usage.
Single-cell lookup against ingested tables using keyword search for exact terms. Specify a row/column mapping and the engine performs a fully programmatic lookup with no AI involvement and zero token usage. No fallback. Use for repeatable, audit-grade extractions where the exact row/column wording is known.
Enhance your data
Live data on demand
The Document Chatbot and Agentic Workflows can be further enhanced with optional internet access, web scraping, API integrations with external data providers, and file uploads directly into the model's context window — blending internal document intelligence with live external data and ad-hoc inputs.