Jean Technologies

We started Jean Technologies to solve a problem we kept seeing across industries: platforms that match people to people, or people to opportunities, using infrastructure designed for document search.

The embedding models and retrieval systems that work well for finding relevant documents do not work well for finding compatible people. The objectives are different. The data is different. The evaluation criteria are different.

What we are building

Jean Technologies builds matching infrastructure. We train domain-specific embedding models and rerankers on outcome data, then deploy them as API-accessible services for platforms that need precision matching at scale.

Our two core products are Person Search, which provides embeddings optimized for human compatibility matching, and the Embedding Adapter, which enables zero-downtime migration and cross-silo federation between vector databases.

Who we work with

We work with platforms where match quality directly impacts the business: recruiting and hiring, dating and social, marketplace matching, and investor-founder connectivity. If your platform connects people to people or people to opportunities, we can likely improve your matching accuracy substantially.

How we engage

We provide our technology through two models: platform access via API for teams with mature ML infrastructure, and forward-deployed engineering engagements where we embed with your team to solve specific matching problems on a fixed-outcome basis.

We are a small, focused team based in Palo Alto. If you are building a platform where matching quality matters, we would like to talk.