Meibel Showcases Runtime Platform at GAI World
On September 29–30, Meibel will take the stage at GAI World 2025 in Boston to lead two hands-on workshops built for teams who are serious about production AI.
Join us Monday at 1:00 PM and Tuesday at 1:40 PM as we show how our runtime platform makes AI systems reliable, interpretable, and ready to scale.
Confidence Scoring at Runtime
Even with structured data flowing, teams often hesitate to rely on AI outputs. Answers may look convincing but there’s no clear way to know which ones are grounded and which ones could introduce risk. This lack of visibility is what keeps many systems stuck in pilot mode.
Confidence scoring is how Meibel resolves that uncertainty. Embedded directly into the runtime, every output is measured for grounding, consistency, and reliability. Instead of guesswork, teams gain a live signal of whether an answer can be automated, escalated, or sent for review. The result is a system that’s observable and governable, not a black box.
Structurable Data in Action
Every team working with enterprise data runs into the same wall: the information that matters most doesn’t live in clean tables. It’s hidden in specs, PDFs, RFPs, and transcripts. Left as-is, this creates hours of manual review, brittle parsing scripts, and retrieval pipelines that break the moment formats change.
Meibel’s runtime platform changes this dynamic. By surfacing structure at the moment data is ingested, it turns raw documents into queryable knowledge. What was once slow, inconsistent, and error-prone becomes repeatable and reliable — enabling AI systems to produce not just semantic answers, but quantitative ones that can be trusted in production.
Moving from Pain to Production
The combination of structurable data and confidence scoring is what allows teams to move past the common frustrations of AI adoption. Messy documents stop being roadblocks; they become structured inputs that drive better retrieval and richer outputs. Unreliable responses stop being hidden risks; they become measured decisions routed according to policy. The runtime layer is what turns fragile prototypes into systems that can adapt, improve, and perform at scale.
Why It Matters
Production AI isn’t about adding more prompts or chaining together new tools. It’s about governing how data enters the system, how outputs are verified, and how decisions are made in real time. That’s the role of Meibel’s runtime platform — and that’s what we’ll be showcasing at GAI World.
If you’re attending, join our workshops to see these ideas in action. If not, stay tuned — we’ll be sharing highlights and insights on how structurable data and confidence scoring form the foundation of confident AI.