V7
An AI agent platform for financial and insurance document workflows
Tool details
V7 Go is the enterprise document-workflow AI agent platform from V7 Ltd., a London company, focused on private equity, insurance, and real estate. It is not built for chatting with a PDF: it runs multi-step, zero-tolerance processes such as due diligence, underwriting, and lease abstraction end to end, and delivers reviewable finished files.
Core capabilities
- Long-document extraction: up to 200 pages per document and 50+ languages, with handwriting, charts, and tables all readable, and no dependence on fixed templates
- Multi-step orchestration: tasks are split into discrete steps, each of which can call a model, OCR, Python, or an HTTP request, with conditional branching
- Context Graph: entities and relationships across SharePoint, Drive, and data rooms are built into a graph, and every fact keeps its original-source citation
- Traceable citations: results link back to specific page numbers, so audit and compliance checks take one click
- Human review: low-confidence results route to people, with role permissions, approval flows, and step-by-step audit logs
- Finished output: spreadsheets, memos, PPTX, and PDF straight out, plus a REST API and MCP Server
Where it fits Private equity CIM→PIM, LPA analysis, and post-investment monitoring; insurance application intake, underwriting triage, and claims; real estate lease abstraction and valuation modeling. It only pays off for institutions that see dozens of data rooms a year or hundreds of applications a week — occasional PDF summarization is not the use case. For image annotation, that is a separate product line, V7 Darwin.
What sets it apart Hebbia and AlphaSense sell retrieval and Q&A; V7 sells running the whole process and handing over the finished deliverable. UiPath sells connectors; V7 sells document semantics plus graph memory. OpenAI's official case study independently confirms that this architecture really exists, which is rare among comparable vendors.
Editorial take Its capability boundary sits in the top tier of enterprise document agents; the weak points are purchasability and verifiability: there is no public price list, the current flagship has zero reviews on Capterra and TrustRadius (G2's 4.7/5 all sits under the older Darwin product), and the site puts its integration count at both 300+ and 1,400+ in different places. The compliance posture is solid and the roughly 36 million USD in funding is credible, but the outcome numbers are largely self-measured — run a PoC on one workflow before discussing an annual agreement.
Pricing
Custom pricingCustom quote (no public price list; annual agreement)Includes V7 Go, Context Graph, private equity/insurance/real estate agents, integrations, governance, and audit logs; the vendor explicitly does not tier features
Priced only by decision and review roles, not by all-employee seats
Billed on pages actually processed, with volume-based discounts; you can start from a single workflow and scale with data room, application, or lease volumes
Additional notes
The vendor does not publish a price list; quotes go through a 30-minute call (covering usage volumes, roles, and workflow scope), and the vendor says it returns a fixed annual number in about 48 hours, locked for the full year. There is no free tier, no free allowance, and no self-serve trial — the only entry point site-wide is Book a demo. The numeric packages still listed on third-party directories all predate the current sales model, are Darwin-era leftovers the vendor has not confirmed, and must not be treated as current prices.
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