AI Weekly Malaysia

Anekha Sokhal, CEO of Moshi, describes building a recommendation engine for traders that combines market data, an interface, and tailored recommendations — framed as 'Bloomberg, Claude and Netflix had a baby.' The conversation covers her path from mathematics and JPMorgan energy derivatives to founding Moshi, plus build-vs-buy decisions for models and document extraction (she cites Reducto) and the pressure on AI engineers told 'you are the team.' She also notes extending her New York stay to take customer meetings in energy and Houston before hiring.

Why: If you are a solo AI engineer or small founding team, the concrete decision here is what to buy versus build: Moshi uses Reducto for document extraction rather than building it, and Sokhal prioritizes booking customer meetings over hiring. The 'you are the team' framing is a useful prompt to decide which infrastructure you should not rebuild yourself.

Anekha Sokhal, CEO of Moshi, describes the product on the Latent Space podcast as what you'd get if 'Bloomberg, Claude and Netflix had a baby' — market data, an interface for working with it, and recommendations tailored to a trader's book. She traces her route from mathematics and JPMorgan to founding Moshi, and the conversation covers trusted sources, document extraction (Reducto is linked in the show notes), build-versus-buy decisions on models, and the 'you are the team' pressure AI engineers describe hearing from management. Recorded at AI Engineer New York, she extended her stay into a week of customer meetings, including energy companies in Houston.

Why: The concrete takeaways are sequencing and scope: Sokhal says meeting users came before hiring, and the episode treats document extraction as a buy-not-build layer rather than something you train yourself — a useful default if your product sits on messy PDFs and market feeds. The 'you are the team' framing is the other decision point: one engineer being asked to own an entire AI product is better served by narrowing to a single role's workflow (here, a trader's book) than by shipping another dashboard. No pricing, model versions, or benchmarks are given, so treat this as product-philosophy material, not a technical evaluation.