Build powerful workflows
and automate your Deep Research
An agent that plans, searches, revises, and continues until it has enough information to complete the task you gave it — not just until a search limit is hit.
Get started researching
Market & Landscape Research
Due Diligence & Questionnaires
Technical & Scientific Topics
Regulatory & Policy Research
Knowledge Artifacts
Proprietary Data Research
Competitive Intelligence Brief Automation
Ingest competitor sites, decks, and docs
Extract claims, proof, and differentiators
Deliver a cited comparison brief
Connect all your apps to AI
and orchestrate them from one place
Automate complex workflows across all your tools—seamlessly connecting data, actions, and systems through AI-powered orchestration.
Use it for
Market & Landscape Research
Build a structured view of a market by aggregating reports, filings, news, and internal documents.
Due Diligence & Questionnaires
Fill in security, compliance, or diligence questionnaires by searching internal systems and external sources.
Technical & Scientific Topics
Investigate complex domains using papers, filings, and primary sources with citations.
Regulatory & Policy Research
Track and interpret regulatory developments across regions and authorities.
Knowledge Artifacts
Produce reports, slides, tables, or visual summaries from research.

Testimonials
Integrate with 2000+ apps and services
Learn more
FAQs
Any more questions?
How does Deep Research differ from a standard web search?
Deep Research is an autonomous agent that doesnt just return search results. It synthesizes information, follows sub-questions, and continues searching until it can fully answer your original, complex query. Its about getting a complete answer, not just a list of links.
+
Can I point Deep Research at my own internal documents?
Yes, Deep Research can be configured to search across your connected Knowledge Hubs, allowing it to incorporate your proprietary data, internal reports, and documents alongside public web sources for comprehensive analysis.
+
What kind of output does Deep Research produce?
The final output is typically a structured report, memo, or summary with citations, synthesizing all the information it found. Its designed to be a ready-to-use knowledge artifact, not just raw data.
+
Is there a risk of the agent going off-track?
While the agent is autonomous, you set the initial goal and constraints. Its internal planning and revision steps are designed to keep it focused on the core task. You can also monitor its progress and intermediate findings.
+
How does it handle conflicting information from different sources?
The agent is designed to identify and flag conflicting information. In its synthesis, it can present different viewpoints with their sources or attempt to determine the most reliable information based on source quality.
+
Can I use this for highly technical or scientific topics?
Absolutely. Deep Research excels at complex domains by iteratively building understanding. It can process academic papers, technical filings, and other dense sources to provide a synthesized overview, making it ideal for technical-diligence.
+

Don't wait too long
It's time
See how V7 fits your documents, workflows, and compliance needs.





























