Product Graph is a software requirements platform for AI-first teams that captures the what and why in a structured way. It enables real-time collaboration, AI-assisted writing, and structured documentation, integrating with tools like Notion, Confluence, Google Drive, Linear, and Jira to generate clear, agent-ready requirements.
Product Graph uses state-of-the-art Large Language Models (LLMs) to power its features. We select models that offer the best balance of quality and speed, continuously refining our integrations and updating them as new models become available. The specific models utilized vary depending on the deployment and use case.
Is my data or writing used to train any AI models?
No, your data or writing is not used to train any AI models. Product Graph prioritizes user privacy and ensures that your content remains secure and confidential.
Yes, your documents are private. Product Graph employs robust security measures, including encryption, access controls, and secure storage, to protect your data. For enterprise users, additional features like private/self-hosted LLMs, SOC 2 compliance, and private deployments to secure private clouds are available. These options ensure that both enterprise and non-enterprise users can maintain full control over their data while benefiting from enhanced privacy and security.
Yes, Product Graph supports the use of private/self-hosted LLMs for enterprise users. This allows organizations to integrate their own models while maintaining full control over their data and infrastructure.
Yes, you can find our privacy policy and terms of service at https://productgraph.ai/terms. We are committed to protecting your data and being transparent about how it is used.
Yes, Product Graph offers enterprise plans with advanced features such as private deployments, audit logs, custom templates, and team management tools. If you are interested in learning more, please contact us at [email protected].