Your complete AI search audit and document Q&A platform.
DocuTalk is an AI assistant that reads your entire document corpus and answers questions in plain language. It pulls from the actual documents, cites exactly where it found each piece of information, and respects the permissions of whoever is asking.
Natural language questions across your entire repository.
Ask DocuTalk about a specific clause in a contract, the status of an inspection, or the history of a customer dispute. It searches across individual documents, folders, or your entire repository. Every answer cites the exact paragraph, page, and source file. This is current document software at its most practical: let the AI handle the searching so your team handles the thinking.
- Searches across every document in your repository
- Cites the exact paragraph, page, and source file
- Respects every user's access permissions at query time
Summarize hundreds of pages in seconds, not days.
Upload a regulatory filing, a stack of contracts, or a year of board minutes. DocuTalk generates executive summaries, extracts action items, and flags anything that needs attention. It can synthesize key insights across multiple documents simultaneously. Every summary links back to the source material so your team can verify anything the AI produces.
- Executive summaries generated from multiple documents simultaneously
- Action items extracted automatically from any document type
- Every insight links back to the source material
Auto-classification and metadata extraction that learn from your patterns.
The built-in OCR engine extracts text from scanned PDFs and images, while AI auto-tags files with intelligent metadata. DocuTalk watches how your team classifies and tags documents, then starts doing it automatically. Contracts get extracted dates and party names. The capabilities let you review what the AI classified and correct it, making the system more accurate over time.
- OCR extraction from any scanned PDF or image
- AI auto-tags based on your team's classification history
- Review and correct AI classifications to improve accuracy over time
DB Talk: ask your databases questions in plain English.
Not everything lives in documents. DB Talk extends the same natural language interface to your structured SQL databases. Ask questions like "How many invoices over $50,000 were approved last quarter?" and get answers without writing code. The results come back with the query the system ran, so your analysts can verify the logic. Data querying should be this straightforward.
- Natural language queries to any connected SQL database
- Returns the generated query alongside the answer for verification
- No SQL knowledge required for business analysts
What your team actually gets.
Hours saved per person per week
Teams report saving 6 to 10 hours per person per week on document search, manual review, and manual classification tasks.
Security model preserved
Permission-aware retrieval means the AI never surfaces content users are not authorized to access, even in search results.
Every answer is verifiable
Citations link to the exact paragraph in source documents. Your team can verify the AI's word for it.
How real teams use this every day.
Asset manager searches 50,000 research documents in seconds
Analysts can surface a two-decade audit covering dozens of companies, industries, and sectors instead of spending hours on keyword search results.
Corporate counsel reviews contract portfolio for risk in hours
DocuTalk identified problematic indemnification clauses requiring manual contract review that would have taken weeks to surface manually.
Quality team traces defect root causes across 5 years of data
Engineers can now filter five-year defect reports as precisely as all roles, getting point-in-time answers instead of spreadsheet searches.
30 minutes with a solutions engineer who already speaks your industry.
No pitch deck. We will either show you a clear path forward or tell you we are not the right fit. Bring the toughest question on your desk this week.