YuzeAI
Sustainability data for the AI world
YuzeAI connects AI agents to enterprise systems, other agents, and the operational context buried inside your customers data - grounded in domain intelligence, not generating plausible fiction
Your Data. Always yours.
Your Data Trains Your Insights. Never Our Models.
Customer data is never used to train generative AI models. Cross-customer intelligence is derived from operational patterns — integration health, usage patterns, data completeness — never from data content.
Every AI interaction is logged, auditable, and scoped to its tenant. No cross-tenant data access, by construction.
The AI Context Problem
The Context AI Needs Is Buried in Your Customers' Operational Systems
Your customers’ sustainability data lives across dozens of disconnected systems — ERP, EHS platforms, regulatory databases, supplier portals, carbon accounting tools. An AI agent that can’t reach these systems can’t answer real questions.
But connectivity alone isn’t enough. The context that makes AI useful — what data exists, what’s missing, how reliable it is, what it means in a regulatory or operational context — is locked inside workflows no AI model has ever seen. Without that context, you get confidently wrong answers with no way to verify them.
YuzeAI solves both problems: connecting agents to the systems they need, and surfacing the operational context that makes their answers trustworthy.
Agent & MCP Gateway
One Gateway. Every System. Agents Connected to Agents.
YuzeAI provides a managed Agent and MCP Gateway that connects agents to enterprise systems, agents to specialized intelligence platforms, and agents to other agents — through a single governed endpoint. A compliance agent that finds a restricted substance can hand off to a procurement agent. A carbon accounting agent can request data from a supply chain agent.
Every connection runs through managed infrastructure with built-in authentication, tenant isolation, rate limiting, and audit logging — maintained by YuzeData, not your end users.
Domain intelligence first
We Do the Hard Work Before AI Touches Anything.
Most platforms feed raw data into a language model and hope for the best. YuzeAI takes a different approach. We profile every data source, detect patterns deterministically, and add operational and regulatory context — all algorithmically, before AI is involved.
Threshold checks, anomaly detection, trend analysis, and cross-customer correlation run without a language model. No hallucination possible. By the time AI touches the data, the analytical heavy lifting is already done.
Scored. Cited. Bounded.
Every Claim Is Scored. Every Source is Cited. Every Boundary Is Respected.
Every insight carries a confidence score derived from data quality and pattern strength — not from the AI model’s self-assessment. Every insight traces back through the analytical layers to source data, so your customers can verify and your team can explain. Hard boundaries define what the system can and cannot claim based on what data is actually available — claims outside those boundaries are structurally prevented, not just discouraged.
No false certainty. No hedging when the data is strong.
