Why We Built SliceLabel
We've spent years in the AI industry watching the same pattern repeat: teams build impressive AI systems, run automated benchmarks that show great results, then ship to production—where edge cases, security vulnerabilities, and subtle failures create real problems.
The Wake-Up Call
The breaking point came when we watched a healthcare AI startup nearly fail their FDA submission because their "comprehensive evaluation" was entirely automated. The model performed beautifully on their benchmarks but had systematic errors on exactly the edge cases regulators cared about most.
The problem wasn't that evaluation is hard. The problem was that the evaluation infrastructure didn't exist:
- No platform designed for specialized AI evaluation at production scale
- No network of domain experts trained for AI safety assessment
- No methodology frameworks built for regulatory scrutiny
- No service providers who understood both AI systems and evaluation rigor
So we built it. SliceLabel is the evaluation infrastructure we wish had existed when we needed it.