Shaped

As a search and recommendation platform for ML engineers, Shaped puts both jobs in one system instead of two separate stacks.

Shaped lets you build ranking models and personalized results on top of your own data, with real-time learning loops so rankings can shift as user behavior changes.

The foundation is built on transformer models.

Shaped handles cold-start cases, which matters when new users or items have little history, and it understands multi-modal content, so a catalog that mixes text and images is not a problem.

Setup connects directly to the data sources you already use, so you do not have to rebuild pipelines before testing anything.

This is a tool for engineers who want control.

You can swap in and compare different ranking strategies quickly, and the system is extensible rather than locked down.

The catch is that getting the most from those options takes technical skill.

Pricing depends on usage, and you contact Shaped for an estimate instead of choosing a listed plan.