V7 Unveils AI Platform Providing Enterprise Memory

Founded in 2018 by Alberto Rizzoli and Simon Edwardsson, V7 has announced the V7 Go platform, which enables AI agents to access corporate context during complex business processes. The system combines scattered data to offer a structured memory that agents can query.

The Importance of Corporate Context

While today's artificial intelligence models can execute complex tasks, they cannot automatically grasp businesses' core operational context. This critical information remains scattered across documents, data rooms, emails, and internal tools, making it directly invisible to agents.

Context Graph Structure

The V7 Go platform extracts information from millions of files and organizes them into an Entity Graph structure. This structure links assets, relationships, and evidence together to create an up-to-date corporate record that AI agents can query.

OpenAI Models Utilized

The system employs the GPT-5.6 Luna model for the information extraction process. GPT-5.6 Terra and Sol models are preferred for reasoning and tool usage in business processes, while GPT-6 Astra handles challenging queries such as financial analysis across thousands of documents.

Integrations and Performance

Integrating with repositories like SharePoint and Google Drive, the platform overcomes the limitations of long-context approaches. In the HERB benchmark, V7's system surpassed the official baseline, reducing the hallucination rate in unanswerable queries.