V7 Go

V7 Go

V7 Go is an enterprise AI platform that automates complex, document-heavy workflows for private markets, insurance, and real estate. It specializes in tasks like investment diligence, submission ingestion, and portfolio reporting, using a proprietary Context Graph and specialized agents to process and analyze documents at scale. The platform enables teams to build, deploy, and improve AI workflows once and apply them across users. It integrates with data rooms, CRMs, and other systems, providing a centralized environment for data extraction, analysis, and document generation. Target users are institutional firms needing to increase analyst productivity, reduce errors, and accelerate deal cycles.

Automation
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Added on
Sep 22, 2026
Monthly Visits
175.3K
Private Markets AIInsurance AutomationReal Estate AnalyticsCustom Quote PricingContext GraphMCP ServerSOC 2 Compliant
Product information

Everything worth knowing about V7 Go

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

Private Markets Deal Workflow Automation
Automates document-heavy investment workflows from CIM screening and due diligence to investment memo and IC deck generation.
Insurance Submission & Claims Processing
Turns document-heavy processes like submission ingestion, underwriting triage, policy review, and claims processing into reliable production workflows.
Real Estate Investment Analysis
Automates acquisition and asset data workflows for deal analysis, underwriting, lease abstraction, and portfolio reporting.
Unified Enterprise Platform
Single platform with built-in agents, document processing, knowledge hubs, and 1,400+ integrations. No add-on SKUs or per-feature upsells.
Technical capabilities
Context Graph & Workflow Agents
Core architecture connecting firm-specific knowledge to specialized agents for autonomous, cited document analysis and output generation.
Enterprise-Grade Security & Governance
SOC 2 Type II & GDPR compliant, encrypted end-to-end, no training on customer data, fine-grained access controls, and audit logs.
Model Context Protocol (MCP) Integrations
Native server and connectors allow V7 Go to integrate directly with external AI tools like Claude and ChatGPT for extensible workflows.
Must watch videos
AI for Private Markets: Inside 10 East's Investment Workflow | V7 Go
12:06
Tutorial12:06
AI for Private Markets: Inside 10 East's Investment Workflow | V7 Go
10 East reviews hundreds of private market deals a year. With V7 Go, a preliminary investment overview went from one to two hours of analyst time to about 20 minutes, a 60 to 70% reduction, with every figure traceable back to its source. In this customer story, Louis Mayer, Managing Director at 10 East, explains how the firm uses V7 Go across its investment process: standardised first pass reviews at the top of the funnel, 25 to 35 page investment memos, quarterly reporting on 300 active portfolio positions, and an NDA review workflow he built himself without writing code. He also covers what mattered when 10 East chose a platform. As an SEC registered firm, compliance and confidentiality came first, including the assurance that the underlying models do not train on the firm's data. Then auditability: every value traces back to the source document, with footnotes in the output that open the original. And because 10 East is a firm of investors rather than technologists, it needed engineers who would build the workflows alongside the team instead of handing over a blank toolkit. Human review stays in every step. The time saved moves to higher value work. What you'll learn: - How 10 East runs first pass reviews on hundreds of deals a year with standardised materials - Where AI fits between deal sourcing, investment memo and post investment reporting - What a 60 to 70% reduction in review time looks like at 10 to 15 new deals a week - How quarterly reporting on 300 portfolio positions gets templated without losing judgement - Why auditability and source citations decide which tools survive inside a regulated firm - The framework 10 East uses to rank which workflows to automate next 0:00 About 10 East 0:42 Where AI sits in the investment process 1:52 From screening to the investment memo 2:47 Choosing a platform: compliance and confidentiality 4:15 Two hours to 20 minutes per deal overview 5:10 Quarterly reporting on 300 portfolio positions 6:00 Six days from first look to investment decision 6:48 Rolling out beyond the investment team 9:03 Why auditability decides which tools survive 11:43 Three questions before you start About V7 Go V7 Go is AI infrastructure for private markets. Deal teams define the workflow once, step by step, with the right tool on each step and the output shaped to their own template, and it runs the same way on the five hundredth document as on the first. It works against a context layer built on the firm's own documents, portfolio and deal history, and every answer opens the source it came from. Used for deal screening, DDQ completion, data room to IC memo, portfolio monitoring and LP reporting. Learn more: https://www.v7labs.com/industry/finance Book a demo: https://www.v7labs.com/demo About 10 East 10 East is a New York based investment firm giving members access to private market opportunities across private equity, private credit, real estate and niche strategies, with more than $1.8 billion of invested capital. Founded by Michael Leffell.
How Moderne Ventures Uses V7 Go for Investment Due Diligence
3:09
Tutorial3:09
How Moderne Ventures Uses V7 Go for Investment Due Diligence
V7 Disclosure: Moderne Ventures is an investor in our company and a user of our product. No compensation was provided for this video. Moderne Ventures uses V7 Go to turn an entire data room into a structured investment memo in its own template, with every answer linked back to the source. In this customer story, Constance Freedman, Founder and Managing Partner of Moderne Ventures, explains how her team uses V7 Go during investment due diligence. She shares how the process can go from weeks to a day, giving the investment team more time to analyse the deal and make the decision. What you’ll learn: • How Moderne Ventures turns a full data room into an investment memo • How V7 Go works with PDFs, spreadsheets, audio, video and other complex files • How visual grounding lets the team trace answers back to their original source • Why V7 Go supports investment teams rather than replacing their judgement • How custom workflows, onboarding and support help teams put V7 Go into production 0:00 About Moderne Ventures 0:35 How Moderne Ventures uses V7 Go 1:14 Working with PDFs, audio, video, Excel and CAD 1:40 Visual grounding and verifiable answers 2:24 Customisation, onboarding and customer support About V7 Go V7 Go helps private-markets teams review data rooms, analyse complex documents and produce outputs such as investment memos, reports and dashboards, with the underlying source available to verify. Learn more: https://www.v7labs.com/industry/finance Book a demo: https://www.v7labs.com/demo About Moderne Ventures Moderne Ventures is a venture capital and growth-equity firm with more than $600 million under management, investing in technology across real estate, finance, insurance and sustainability. #DueDiligence #VentureCapital #PrivateEquity
Generative AI in Insurance: Key Use Cases & Workflow Examples [2026]
7:56
Tutorial7:56
Generative AI in Insurance: Key Use Cases & Workflow Examples [2026]
Generative AI in insurance has moved well past the chatbot and copilot phase. In this video, John Somerset-Irving, Head of Insurance at V7, walks through how it's being deployed in production across four of the most document-intensive workflows in commercial insurance The video explains why that happens architecturally, and what production-grade AI automation actually looks like in practice — covering how insurers, reinsurers, Lloyd's syndicates, TPAs and MGAs are deploying it today across the full document lifecycle. 0:00 Why AI Pilots Fail in Insurance 1:09 How Production-Grade AI Automation Works 1:36 Use Case 1: Submission Processing 3:11 Use Case 2: Schedule of Values (SOV) Reconciliation 4:11 Use Case 3: Claims & FNOL Triage 5:10 Use Case 4: MGA Bordereau Validation 6:03 AI Across the Full Insurance Workflow 7:08 Auditability, Compliance & Compounding Advantage Learn more about V7 - https://v7labs.com Follow us on Linkedin https://www.linkedin.com/company/v7labs Follow us on Twitter: https://twitter.com/v7labs Follow us on Tik Tok: https://www.tiktok.com/@v7labs #insurtech #insurance #insuranceai #ai #underwriting #claimsmanagement #insurancetechnology #mga #reinsurance #documentautomation #aiautomation #operationalefficiency #insuranceindustry #commercialinsurance #riskmanagement #aiagents

Who uses it

Real use cases, no hype
Deal Sourcing & Screening
Automate initial screening of inbound CIMs and pitch decks against your fund's investment criteria.
Due Diligence Automation
Extract, reconcile, and source-link financial, legal, and commercial terms from data rooms.
Investment Memo Generation
Synthesize diligence findings into structured IC memos, decks, or 1-pagers with cited data points.
Claims & Submission Processing
Read and process ACORD forms, loss runs, and policy documents at line-item level for underwriting.
Lease Abstraction
Automatically extract key terms and clauses from rent rolls and lease agreements for real estate analysis.
Portfolio Monitoring & Reporting
Streamline the collection and analysis of quarterly updates and financials from portfolio companies.
What's great
  • Massive time savings (e.g., 100+ hours to under 10 for data room diligence).
  • Consolidates multiple tools into a single platform (replaces 3 tools, cuts costs by 40%).
  • Processes hundreds of complex documents in an afternoon vs. a full team.
  • No training on your data, SOC 2 Type II & GDPR compliant.
Technical strengths
  • Deploys specialized, domain-tuned agents for finance, insurance, and real estate workflows.
  • Context Graph provides persistent, document-level memory for long-running analysis.
  • Deep integrations with data rooms, CRMs, and via MCP server for external tool connectivity.
Where it falls short
  • No public pricing; requires a sales call and custom scoping.
  • Steep learning curve for building complex, multi-step workflows from scratch.
  • Primarily targets enterprise-level private markets, insurance, and real estate sectors.
  • Platform fee structure (platform + users + documents) can be opaque without a demo.
Technical limitations
  • Reliance on their proprietary 'Context Graph' and agent architecture; not model-agnostic.
  • Workflow automation may require dedicated technical resources for initial setup and optimization.
For technical folks

The deep-dive specs

FAQ

Includes technical Q&A
Workflows, volumes, and user roles vary too much between firms. We scope everything in a single call and provide a fixed annual quote within 48 hours.

Traffic Insights

Monthly Visits

175.3K

October 2026

Growth Rate

0%

vs last month

Dominance

0%

in Automation

Top Country

Bangladesh

54% of traffic

Top Countries Breakdown

Bangladesh
54%
United States
12%
India
9%
Philippines
7%
United Kingdom
3%

Growth Trend

Stable

Traffic has remained stable.

Pricing overview
Paid Pricing

V7 Go Pricing

V7 Go uses a paid pricing structure. Real-time rates, custom enterprise quotas, and plan details are managed directly on their official platform.

Check Pricing on V7 Go
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