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On October 22, 2026, Moshi CEO Anekha Sokhal introduced a recommendation engine for commodities traders on the Latent Space podcast. She said Moshi links market information to traders' positions and described it as a combination of Bloomberg, Claude, and Netflix. She previously traded energy derivatives at JPMorgan, and the startup idea came from how, while trading, the volume of information far exceeded what one person could read. She also discussed trusted sources, document extraction (using Reducto), and the trade-offs between building models in-house versus buying them. There have been no subsequent developments.
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Moshi CEO Anekha Sokhal: Turning market data into actionable insights for tradersDevelopments
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Moshi CEO introduces recommendation engine for commodities traders
Source:Latent Space
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Oct 22
Latent Space
Moshi CEO Anekha Sokhal: Turning market data into actionable insights for traders
Moshi CEO Anekha Sokhal said on the Latent Space podcast that Moshi is a recommendation engine that connects market information with traders' positions, describing it as a combination of Bloomberg, Claude and Netflix. She previously traded energy derivatives at JPMorgan, and the startup idea came from the fact that while trading, the volume of information far exceeded what one person could read. She also discussed trusted sources, document extraction (using Reducto), and the trade-offs between building models in-house and buying them.
Latent Space
You Are the Entire Team—Anekha Sokhal on How Moshi Turns Market Data into Actionable Insights for Traders
In a Latent Space podcast, Moshi CEO Anekha Sokhal introduced Moshi as a recommendation engine for traders that links market information to traders' positions, describing it as a combination of Bloomberg, Claude, and Netflix. She previously traded energy derivatives at JPMorgan, and discussed trusted sources, document extraction, and the choice between building and buying models. She also noted that AI engineers are often told "you are the entire team," and emphasized meeting customers before hiring.
Latent Space
A Recommendation Engine for Commodity Traders: Anekha Sokhal on Moshi
Moshi CEO Anekha Sokhal said on the Latent Space podcast that Moshi is a recommendation engine for commodity traders that connects market data with the information traders actually care about in their positions. She described Moshi as a combination of Bloomberg, Claude, and Netflix: market data, an actionable interface, and recommendations tailored to traders. She also discussed trusted sources, document extraction (using Reducto), building versus buying models, and the pressure on AI engineers who are asked to "be the entire team."