Uncover hidden insights
AI Multi-Document Correlation Agent
Connect the dots. Find the alpha.
Delegate your deepest research to a specialized AI agent. It reads across your entire document universe—contracts, financials, reports, emails—to find the subtle correlations, patterns, and contradictions that lead to breakthrough insights and a true information advantage.

Ideal for
Hedge Funds
Due Diligence Teams
Researchers
Time comparison
Traditional way
Often Impossible Manually
With V7 Go agents
Hours
Average time saved
95%
Why V7 Go
Reads across your entire dataset
To find the connections and contradictions that matter.


Import your files
SharePoint
,
Snowflake
,
Databricks
Import your files from whereever they are currently stored
All types of Business documents supported
Once imported our system extracts and organises the essentials
Connect AI to your entire universe of data.
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Answers
What you need to know about our
AI Multi-Document Correlation Agent
How does it 'correlate' information from different documents?
It uses a combination of entity recognition and semantic understanding. It first identifies key entities (like company names, people, or products) and then analyzes the context around those entities in every document to find relationships and contradictions.
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Can it work on a mix of structured and unstructured data?
Yes, this is its primary strength. It is designed to find the connections between a number in a spreadsheet, a clause in a legal contract, and a statement in an unstructured email thread to form a single, cohesive insight.
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Do we need to tell it what to look for?
You can do both. You can give it a specific query (e.g., 'Compare revenue in document A vs. document B'), or you can use it for unsupervised discovery, asking it to find 'any interesting patterns or contradictions' in a dataset.
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What kind of datasets is this best suited for?
It is most powerful on large, complex, and heterogeneous datasets where human analysis is impractical. Prime examples include M&A data rooms, e-discovery productions, scientific research libraries, and historical archives.
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What does the final output look like?
The agent delivers a dynamic report that outlines the key findings, patterns, and contradictions. Each finding is presented as a clear statement, supported by the specific, cited evidence from the source documents.
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How do we know the correlations are meaningful and not just random?
The agent presents the data and the correlation; the human analyst provides the final judgment. By providing full transparency and citations for every finding, the agent empowers your experts to quickly validate whether a correlation is a meaningful insight or just noise.
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Next steps
Ready to find the hidden alpha in your data?
Bring us your most complex dataset—a data room, a research archive, an e-discovery production. We'll show you the powerful, non-obvious insights our correlation agent can uncover.











