How V7 gives AI agents institutional memory V7 turns company files into agent context, with GPT‑6 Astra reaching 89% accuracy on its hardest graph-query tests.

Results 89% Accuracy for GPT-6 Astra on the hardest queries Results 78% Lower cost per document with GPT-5.6 Luna Results +11.6 pts Higher accuracy with GPT-5.6 Luna Today’s models can reason through complex tasks, but they don’t automatically understand the underlying business context of those tasks.

Which fund report is current?

How is the same entity named across three systems?

That context lives in documents, data rooms, spreadsheets, emails, and internal tools: scattered, unresolved, and invisible to agents.

For teams in finance, insurance, and real estate, retrieval accuracy within workflows is non-negotiable.

After building a widely used computer vision accessibility app together, Rizzoli and Edwardsson started V7 in 2018 to help companies teach AI systems how their businesses work.

V7 Go is an agentic platform to build mission critical workflows, and organize buried context into memory that agents can query and act on.

…