The gap between benchmark performance and real-world reliability is starting to become one of the biggest challenges in AI.
Especially in areas like healthcare, legal AI, and robotics, where a technically “correct” answer isn’t always enough.
These systems increasingly depend on:
- Contextual reasoning
- Expert judgment
- High-quality human feedback loops
Which is pushing the industry toward more specialized and verifiable data infrastructure.