V7 Go
V7 Go is an agentic document workflow platform from V7 Labs, sold into document heavy industries with private markets, insurance and finance among its named verticals. Its financial services proposition covers the investment lifecycle, with more than 280 prebuilt agents for due diligence, deal screening, investment memos, portfolio reporting, insurance submission ingestion, underwriting triage and know your customer extraction. Users assemble workflows visually without engineering, setting confidence thresholds and routing rules that send uncertain items to human review, and every output carries a citation to its exact location in the source document.
The platform routes between models from OpenAI, Anthropic, Google and Microsoft Azure OpenAI, stores data in the European Union and offers private deployment; Star Mountain Capital is among its named customers.
Capability Axes
Capability grades
15 of 15 axes rated · 12 graded A or B
Every step in a configured workflow is model work, from parsing memorandums and insurance submissions of varying layout to the analysis a user describes in plain language, across more than 280 prebuilt agents. Without the models the workflow designer has nothing to run.
Human review is a configurable workflow step, with confidence thresholds and routing rules that send uncertain extractions to a person and audit logs across workflows. Nothing must reach sign off regardless of configuration, so a customer can route nothing to review, and no default is published.
Confidence scores expose uncertainty at the point of extraction, and the platform cites a placement on SpreadsheetBench. First party accuracy or error rates by workflow type and validation documentation are unpublished.
Star Mountain Capital, a $5 billion alternative asset firm, reports 21 times faster processing and 54 percent fewer errors, and Centerline's chief executive, Trey Heath, reports a 35 percent productivity gain in the first month.
Training on customer data is ruled out, and documents sent to third party model providers are never used to train or improve generalized models. Retention terms at those providers and lifecycle periods for customer data are not stated.
Deal files, onboarding identity records and claims material are the payload, encrypted at rest and in transit. The trust center references a data retention and disposal policy but gives no periods.
A 2026 SOC 2 Type 2 report and an ISO 27001:2022 certificate and audit report are listed in the trust center, released on request, with penetration testing and role based access described.
GDPR and HIPAA compliance are stated, but no financial supervisor, statute or guidance instrument is named for underwriting triage, know your customer extraction or claims work. Audit logs are offered without saying which obligations they serve.
Non technical users assemble agents for underwriting, onboarding checks and claims, which hands model governance to whoever configures them. No guardrail, warning on consequential decisions about individuals or performance by document format appears in published material.
Citations point every result to the exact place in the source document it came from, so a wrong extraction can be found by whoever relies on it. V7 publishes no guarantee and describes no correction or restatement process for an error found after a workflow has produced a decision.
OpenAI, Anthropic and Google Gemini, plus Azure OpenAI, are the named model providers customers choose between, hosted on AWS in Ireland, Google Cloud in Belgium and Microsoft Azure. Only a formal subprocessor register with contractual retention terms is missing.
More than 1,400 integrations and MCP connections, API documentation at docs.go.v7labs.com and exports to Google Drive and SharePoint form a broad surface, with knowledge hubs indexing data rooms and financial models. Market data terminals, private company databases and core banking or policy systems are not listed.
Storage stays inside the European Union, with Azure options in the EU, the US and the UAE, region specific processing for model calls and a private deployment option.
Pricing dimensions are published without rates: an annual agreement built from a platform fee, user seats and pages processed, with every feature included. A fixed annual price comes back within 48 hours of a scoping call, but no figure, tier or minimum is shown.
Private markets and insurance each get dedicated material and prebuilt agents, from deal screening and investment memos to submission ingestion and claims. Banks are reached only through know your customer extraction, and financial services shares the platform with legal and real estate work.
Product updates
Material product, regulatory, evidence and commercial changes at V7 Go, each verified against a live source and tagged to the capability axis it bears on. Funding rounds and awards are not product changes and are not logged.
V7 Go moved chats onto Go Agent V2, which carries a model picker and a reasoning setting so a lookup and a long analysis need not run the same way. GPT-6 Astra, Gemini 3.7 Flash and Gemini 3.8 Flash are selectable and Gemini 2.5 Pro is retired, and the settings tooltip now names the concrete model rather than a generic label. The same release keeps every turn of a run with each tool call stored beside the result it returned, attributes answers by the text they quote, and records an MCP tool invocation as user activity with the sign in route behind it.
V7 Go added organization wide reporting so metrics can be read across every workspace rather than one at a time, began recording manual field edits with a timestamp and surfacing them in token reports, and started flagging output samples as stale when they no longer match the instructions that generated them.
Compared With
Most editorial comparisons pair two vendors the index assesses as direct competitors for the same buyer. Some pair vendors that are adjacent rather than rival, where the useful question is where one ends and the other begins. Each carries a verdict, the buyer conditions that favor each vendor, and a graded side by side.
Alternatives to V7 Go
Vendors in the same categories as V7 Go whose profiles look most alike, each with a line on what the product does. Similar is not the same: check that each one does the job you need. No vendor pays for placement.
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The index publishes no overall score or ranking. See what we assess and the methodology.
Pricing
Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.
| Entry Price | Pricing Basis | Data Protection Terms | Implementation | Source |
|---|---|---|---|---|
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Not published as a figure. V7 Go is sold as an annual fixed agreement priced on a platform fee, user seats and pages processed, with a quote returned within 48 hours of a scoping call.
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Three components: a platform fee covering V7 Go, the context graph, specialized agents, integrations, governance and audit trail; user seats priced for the people who make decisions rather than everyone who might log in; and document volume based on the pages actually processed. All features ship as standard with no add on SKUs, and an agreement expands with document volume and users rather than through new contracts. | Not tiered on the pricing page. The pricing page states for all customers that V7 does not train on customer data, encrypts data end to end, is SOC 2 Type II and GDPR compliant, and offers private deployment. | No implementation fee is published. A dedicated solutions team is included in the platform fee, and implementations typically go live in weeks. | Vendor Published |
Taken from V7's own pricing page on 2 October 2026. No rate per page, per seat or for the platform fee is shown, so a buyer can see what drives cost but must request the figure.