DI Agent
Deep research tailored to your organization, combining public sources with internal knowledge
Give it a research topic and the agent builds a query set, runs the searches in parallel, and breaks the retrieved pages down into claims, evidence, and sources. Internal knowledge and business system data can be brought into scope alongside public sources. It checks its own gaps and contradictions, searches again where needed, and writes a fully cited report. You can then interrogate the result in chat — so research quality no longer depends on who happens to be doing it.
Common Challenges in Research Work
Preliminary research before meetings takes too long
Chatbots answer without sources, so everything needs re-verification
Depth and angle of research vary from person to person
Cross-referencing public web and official databases is laborious
Checking freshness and contradictions relies on individual judgment
Findings stay with the individual and never accumulate in the organization
How DeepInsight Agent Works
Solutions with AI Agents
Automated Research Design
The agent turns a topic into objectives, sub-questions, and a query set — it designs what to investigate, not just how to search
Parallel Search
Multiple searches run at once, gathering pages and external data together — far faster than sequential retrieval
Evidence Extraction
Retrieved pages are decomposed into claims, supporting evidence, and dated sources — verifiable units rather than raw text
Gap Analysis & Re-search
The agent audits its own gaps and contradictions and loops back to search before it starts writing
Citation Verification
After drafting, citations, figures, dates, and factual consistency are checked mechanically so no unsupported statement survives
Follow-up in Chat
Once the report exists, you can keep asking follow-up questions against the retained evidence
Adapting to Your Organization
Tailored Search
Prompts, priority domains, and search rules can be tuned to your industry and research purpose
Data Sources
Official databases, industry APIs, your own domains, and internal knowledge can all be added as sources
Model Routing
Pick one of the three models, or assign them per stage to balance accuracy against running cost