P30.ai
P30 provides an organizational memory platform that gives employees a shared "brain" by capturing institutional knowledge from everyday collaboration across tools like ChatGPT, Claude, and Gemini. The platform reasons across leading AI models to turn business context into priorities, decisions, and automated execution, helping small and medium-sized businesses reduce AI spend and improve decision-making.
- Artificial Intelligence
- Enterprise Software
- AI Agents
- Developer Tools
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Generic AI models lack the specific institutional knowledge, business context, and operational processes unique to each company. When AI systems are deployed without organizational memory, they produce inaccurate, irrelevant, or generic responses that fail to meet enterprise needs and reduce trust in AI-driven workflows. Additionally, context, decisions, and knowledge become trapped in scattered personal chats across ChatGPT, Claude, and Gemini, so every conversation starts from zero and knowledge doesn't compound.
Solution
P30 provides an organizational memory platform that enables AI systems to understand and apply a company's specific business context. The platform captures, structures, and connects institutional knowledge so AI applications can access the right information at the right time. P30 gives all employees one shared brain that learns the business through everyday collaboration, reasons across every leading AI model, and turns that context into clear priorities, smarter decisions, and automated execution. Teams can build AI applications that draw on organizational memory layers, ensuring responses align with how the business actually operates. The platform includes dedicated chat windows where teammates can use their preferred model or align on one, prebuilt apps, and an Agent Wizard for tracking goals, metrics, and blockers.
Target Audience
Primary customers are small and medium-sized businesses and enterprise product teams building AI applications that require deep integration with company-specific knowledge, processes, and operational context.
Features
- Organizational memory layer that structures institutional knowledge for AI retrieval, capturing context from everyday collaboration across ChatGPT, Claude, Gemini, and other tools
- Multi-model reasoning across leading AI models including Anthropic, OpenAI, xAI, and open-weight models on AWS Bedrock, with zero data retention and no training on customer data
- Dedicated team chat windows that let employees use preferred models or align on one, saving approximately 40% on AI spend
- Prebuilt apps and Agent Wizard for tracking goals, metrics, and blockers so leadership always knows company health
- Decision Intelligence capabilities that turn business context into clear priorities and automated execution
- Google Workspace integrations including Gmail read/compose, Calendar events, and Drive access, with encrypted token storage and no copying of mailboxes or files
- Enterprise data-handling controls with zero data retention and no training on proprietary customer content