We solve what others assume away.

Getting useful information out of a conversation is harder than it looks. Most AI interviews produce transcripts. Yield produces structured, verified, contradiction-flagged knowledge. We’ve built high-EQ conversations at scale that capture not just what people say, but what they mean, what they’re uncertain about, and what they don’t know they know. Our ongoing research pushes extraction accuracy and depth further with every deployment.

Every company is different. The entities, relationships, and dependencies that make one company run look nothing like another. Yield builds ontologies that are specific enough to be useful and general enough to work across industries, populated automatically from conversation and system data. Each new deployment refines the models further.

Finance thinks billing takes 3 days. Operations says 2 weeks. Both believe they’re right. Yield detects these contradictions, routes them to the right experts, and resolves them into verified facts. This is one of the hardest problems in organizational intelligence, and we’re continuously improving how it works at scale.

Finding a problem is the easy part. Fixing it autonomously, across systems, processes, and people, without breaking anything requires a different kind of architecture entirely. Yield’s specialists already execute reliably in complex operational environments. Our research focuses on expanding what they can handle safely.

Yield’s Blueprint stays current as a company changes: new people, new systems, new processes. No manual intervention, no complete rebuilds. Our research keeps improving how fast and accurately the model adapts.