V7 Go
AI agents and workflows that automate document-heavy diligence, underwriting and claims for finance, insurance and real estate teams.
By V7 Labs · HQ London, United Kingdom · 4.3/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Private markets, PE/VC and credit funds automating CIM screening, due diligence, IC memos and portfolio reporting
- Insurers and brokers automating submission ingestion, underwriting triage, policy review and claims processing
- Real estate investors handling lease abstraction, deal analysis, acquisition underwriting and portfolio reporting
- Legal and advisory teams reviewing contracts at scale with source-cited, auditable output
- Enterprises that need model choice (GPT, Claude, Gemini) plus governed execution and audit logs
Ideal size: 20–500 (deal, underwriting and operations teams) people · Mid-market to enterprise with high-volume, document-heavy processes
Not for
- Teams wanting published self-serve pricing or a free tier — V7 sells custom annual agreements only
- SMBs without high-volume document workflows to justify an annual platform agreement
- Buyers wanting an out-of-the-box vertical ERP rather than configurable AI workflows
- Organisations unwilling to run a scoping call and pilot before enterprise-wide deployment
Value metrics scorecard
Time-to-Value
2–6 weeks (live in days, not months)
~30 days to first production value
Total Cost of Ownership
$100,000/yr
Starts at $0 · Custom fixed annual agreement scoped from platform access, named users and document volume; no public price list
Implementation Friction
2/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Role-based access for deal teams, underwriters, analysts and reviewers; no published seat tiers
Add-on costs
- None stated — agents, document processing, knowledge hubs and integrations ship with every plan; no feature tiers
Company & support
Who is behind V7 Go, and how your team gets help once it is live.
Company
- Founded
- 2018 · 8 yrs in business
- Headquarters
- London, United Kingdom
How you get support
- PhoneNot listed
- EmailPlan not stated
- Live chatPlan not stated
- Support portal / ticketsNot listed
- Community forumNot listed
- Help centre / docsAll plans
- Dedicated account managerNot listed
- In person / on-siteNot listed
- Hours
- Not recorded
- Response time
- Vendor-reported average first response 11 minutes; average resolution 5 hours
Docs and help centre are public; in-app chat and email support are delivered via Intercom per V7's subprocessor list. SSO and access-monitoring summaries are enterprise tier only.
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where V7 Go sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line. A dashed ring marks an outlier pinned to the edge; hover for its value.
Companies on the chart 6 / 10
- V7 Go
- QuotaPath
- Dust
- Rocketlane
- Litify
- Plane
Add or change companies
Up to 10 companies including V7 Go. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
Ships an official MCP server. Connects to Claude Code, Claude Desktop, ChatGPT connectors and Cursor out of the box.
AI & MCP readiness
What V7 Go ships in AI, and what it asks of your ecosystem.
AI features shipped
V7 Go runs 280+ prebuilt and custom agents over a Context Graph, processes documents and generates tables, memos and slides, cites every output back to its source page, exposes audit logs and usage reporting, and lets users pick GPT, Claude or Gemini per field.
Your data & models
- Trains on your data
- Never trains on your data
- Runs on
- OpenAI, Anthropic, Google
- AI pricing
- Included in the plan
In your ecosystem
- AI connection
- Official MCP server
- Model key
- Not recorded
- AI usage audit
- Basic visibility
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
V7 Go is V7 Labs' AI workflow platform for document-heavy work in private markets, insurance and real estate — deal diligence, submission ingestion, underwriting triage and claims. Agents run over a connected Context Graph with GPT, Claude and Gemini model choice, source-cited outputs, role-based access and audit logs. Pricing is a custom annual agreement scoped on platform, users and document volume; no public list price. V7 holds SOC 2 Type II, ISO 27001, HIPAA and GDPR compliance and states customer data is never used to train models.
Frequently asked questions
How is V7 Go priced?
There is no public price list. V7 scopes your workflows, document volume and user roles in a short call and returns a fixed annual number, typically within 48 hours. The agreement is built from three components: platform access (V7 Go, Context Graph, specialized agents, integrations, governance and audit trail), the named users who decide, and the document pages you actually process. Volume-based expansion replaces new contracts as you add workflows.
How quickly can we see value?
V7 says firms typically see return in the first quarter, and that workflows go live in days or weeks rather than months — one referenced customer was live in six weeks. Deployments usually start with a single high-volume workflow such as CIM screening, submission intake or lease abstraction, with the success metric agreed up front and reported against in the pilot.
Is our confidential deal and client data used to train AI models?
No. V7 states on its pricing and homepage material that customer data is never used to train models, and its privacy page says third-party model providers are contractually prohibited from using customer data for advertising, data brokering or model training. Outputs are cited to the source page so compliance and audit can verify any answer, and private deployment is available.
Which AI models does V7 Go use, and can we choose?
V7 lists access to leading LLMs including GPT (OpenAI), Claude (Anthropic) and Gemini (Google), with region-specific processing options and the ability to pick a model per field. The security page names Anthropic, Google Gemini Suite and OpenAI as subprocessors whose models users may select to process their data.
What compliance certifications does V7 hold?
V7's security page states ISO 27001 certification, SOC 2 Type II auditing, HIPAA compliance and GDPR readiness, with an independent third-party penetration test at least annually, encryption at rest and in transit, least-privilege access control and quarterly access reviews. SOC 2 Type II and ISO 27001 reports can be requested through the trust centre.
Can V7 Go connect to our existing stack?
Yes. V7 advertises more than 1,400 integrations plus MCP, with named connectors for Salesforce, HubSpot, Slack, Snowflake, AWS, Google Drive, Gmail, Sheets, Slides, SharePoint, Teams, Outlook, Excel, PowerPoint, Procore, Bloomberg and PitchBook, among others. A native MCP server lets MCP-capable assistants and agents query and trigger V7 Go workflows over OAuth.