Built for enterprises that want AI to understand their business.
A request comes in referencing a product by name. An analyst manually searches multiple ERPs, cross-references spreadsheets, emails colleagues.
AI assistant receives the same request. Queries Phyvant for the product name. Gets verified codes across all systems instantly.
AI is powerful at general tasks. It fails on your specific business—your products, your systems, your rules. That gap costs real money.
Phyvant captures your organization's institutional knowledge and delivers it to every AI tool automatically. Your AI stops guessing. Your experts stop repeating themselves.
A simple loop that gets smarter every time your team uses it. No extra work required.
We pull in your reports, exports, and docs. Your business knowledge becomes structured data AI can use.
Your AI tools check with Phyvant before answering. They get verified info about your business instantly.
Your experts review AI outputs like normal. When they fix something, we capture it automatically.
Those fixes flow back into the system. Next time, the AI gets it right. Accuracy builds over time.
An enterprise AI knowledge graph is a structured layer that captures your organization's institutional knowledge—product codes, business rules, entity relationships, and historical context—and makes it accessible to AI tools. Unlike raw data access, a knowledge graph provides semantic understanding so AI can interpret your data correctly.
Phyvant sits between your data systems and AI tools, providing verified context about your business. When an AI tool queries about a product code like 'PRD-4412', Phyvant returns the verified mapping across all your systems (ERP, CRM, regional databases), business rules, and historical context—eliminating guesswork and errors.
AI data reconciliation is the process of resolving conflicting or inconsistent data across enterprise systems so AI tools can provide accurate answers. Without reconciliation, AI may not understand that 'PRD-4412' in your NA ERP is the same product as 'Item-4418' in your EU system. Phyvant automatically reconciles these identities.
Yes, Phyvant is designed for on-premises deployment within your VPC or data center. Your data never leaves your security perimeter. Every query is logged for compliance, and you maintain complete control over access permissions. This makes Phyvant suitable for regulated industries like healthcare, financial services, and legal.
Phyvant uses a self-improving feedback loop. When your experts correct AI outputs during normal work, Phyvant captures those corrections automatically. These improvements flow back into the knowledge graph, so accuracy increases over time—typically reaching 97% accuracy within 6 months without additional training effort.
Phyvant integrates with any AI tool that can make API calls, including ChatGPT, Microsoft Copilot, Claude, and custom AI agents. It acts as a knowledge layer that AI tools query before responding, ensuring they have verified business context regardless of which AI platform you use.
We'll connect your AI tools to your real business data. See results in the first week.
See how it works with your data