Teams struggle to compare embedding models beyond generic benchmarks that don't reflect their specific needs (e.g. legal text vs product descriptions).
Create a configurable evaluation platform where users can upload their own datasets and define custom similarity metrics. Generate reproducible report cards across models.
Sell enterprise licenses to AI teams doing frequent model evaluations. Start with support for major open models before adding proprietary ones.
The challenge is creating sufficiently flexible evaluation frameworks without overwhelming non-expert users.