Enterprise document search
Unified semantic search across policies, product and project documents, with answers that cite the source text and permissions that follow the user.
- Cross-industry
- Manufacturing
- Energy
Give it a research question and it breaks it into sub-questions, runs multiple rounds of internal and external retrieval, and delivers a structured report with citations.
Map the main vendors, technical approaches and typical customers in China’s industrial visual inspection AI market in 2026, and produce a research brief of up to 3,000 words.
The brief includes a market overview (3 data points, each with a source), a comparison table of 6 vendors, analysis of 3 technical approaches, summaries of 8 typical customer cases, and a note on information gaps. All 27 citations are clickable for verification.
An industry or competitor study usually costs an analyst 2–3 days of searching, de-duplicating and cross-checking. The Deep research template turns that into a multi-step Agent workflow: decompose the question, run several rounds of retrieval and verification for each sub-question, then compile a cited report.
External sources come from web search and crawling, internal sources from the enterprise knowledge base, and the two are labeled separately in the same report. Every conclusion traces back to its original source, so there is no content that looks plausible but cannot be checked.
Reports are delivered as Markdown or Word, with a chapter structure that can be fixed to your team template.
Unified semantic search across policies, product and project documents, with answers that cite the source text and permissions that follow the user.
Turns recordings or transcripts into structured minutes, extracts decisions, action items and owners, and writes them back to your task system.
Most customers go live after changing 20–40% of a template. Book a workshop and we will assess it together.