Building Scalable GenAI with Multinear

​Building GenAI products means balancing user value, model quality, cost, and live-traffic drift—all at once.

​We’ll outline a hands-on framework that ties business goals to product behaviour and data-science metrics.

​We’ll show how the open-source Multinear platform tracks experiments, surfaces regressions, and keeps models accountable from prototype to production.

​We’ll wrap with a live demo of Multinear using a real-life Chatbot app, defining evals, measuring performance and feeding the results back into product decisions.

​Learn more about Multinear:

​https://github.com/multinear/multinear

​https://multinear.com/

​About the Presenters:

​Asaf Bord

• ​Co-founder at Multinear

• ​Product leader

• ​Specializes in AI product strategy

• ​Numerous AI projects in production

• ​LinkedIn @asafbord

​Dima Kuchin

• ​Co-founder at Multinear

• ​Engineering leader

• ​Passionate about building reliable AI solutions

• ​Multiple AI projects from POC to production

• ​LinkedIn @kuchin | X @kuchin