According to an OpenAI post dated September 21, 2026, V7's agentic platform V7 Go uses OpenAI models to turn company documents, data rooms, spreadsheets and internal tools into structured 'memory' that AI agents can query. Founded in 2018 by Rizzoli and Edwardsson, V7 builds workflows for finance, insurance and real estate teams. The company says V7 Go uses GPT-5.6 Luna to extract information from files and organize it in a 'Context Graph' that connects entities, relationships and cited evidence, while GPT-5.6 Terra and Sol handle reasoning and tool use across multi-step tasks. V7 states it is starting to use GPT-6 Astra on its most demanding queries, reporting 89% accuracy on its hardest graph-query tests. V7 says agents complete 50–100 step workflows in minutes and cites figures including asset managers screening deals '21x faster,' a financial services team cutting review time from over 100 hours to under 10 (saving $12,000 per task), and insurance teams reducing claims errors by 13.5%. On the HERB benchmark, V7 says its retrieval-only system outperformed the baseline by 69% and cut hallucinations on unanswerable queries by 38%. These figures come from V7 and OpenAI; independent verification is limited.
- V7 Go uses GPT-5.6 Luna, Terra and Sol, plus GPT-6 Astra on the hardest queries, per OpenAI (Sept 21, 2026)
- V7 reports 89% accuracy for GPT-6 Astra on its hardest graph-query tests and 99.9% workflow accuracy
- Customer figures cited by V7: 21x faster deal screening, $12,000 saved per financial-review task, 13.5% fewer insurance claims errors
- On the HERB benchmark, V7 says its retrieval-only system beat the baseline by 69% and cut hallucinations on unanswerable queries by 38%
What it means for you
V7 is a specialist tool that reads a company's scattered documents and turns them into a structured, searchable 'memory' so AI agents stop re-reading the same files on every request. It is aimed squarely at document-heavy work in finance, insurance and real estate — think screening deals or processing claims. The impressive-sounding numbers come from the vendor and OpenAI, so treat them as claims, not proven results.
Try this
If you drown in repetitive document review, spend an hour listing which of your workflows involve pulling the same facts from many files — that list tells you whether a tool like this is even worth a demo.
Who should care
Small firms in finance, insurance, real estate or professional services that process large volumes of contracts, reports or claims and repeat the same lookups constantly.
Skip this if
You don't run document-heavy, multi-step workflows, or your business handles files in the dozens rather than the thousands — this is enterprise-scale tooling and won't earn its keep.
Sources: OpenAI — read the original