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Catalyst raises $30M seed round led by Sequoia to build AI trading agents for retail investors. The startup enables users to execute trading strategies through natural language commands.
PRIVATEOct 08, 2026
Amount Raised
$30 Million
Round Type
Seed
San FranciscoSoftwareArtificial IntelligenceSaaSEnterprise SoftwareAnalytics
Investors
Peak XV PartnersPremji InvestCoinbaseAntifundLux CapitalPeakXVJump TradingSequoia Capital
Description
Catalyst, a startup founded by Justin Zheng and Dylan Iskandar in 2025, has raised $30 million in a seed round led by Sequoia Capital. The round included participation from Jump Trading, PeakXV, Lux Capital, AntiFund, Coinbase, and Premji Invest. Catalyst builds AI trading agents that convert natural language instructions into executable trading strategies for retail investors. The platform aims to simplify complex financial markets by leveraging AI to help users preserve and grow their capital.
Company Information
Company
Catalyst
Location
San Francisco, California, United States
About
Prior to this, the Ali Ghodsi-led data and AI company had primarily backed prominent data stack players such as dbt Labs, Matilion, and Alation. The company says this will simplify the user experience and enable customers to get more value from their existing investments in Catalyst and Databricks. Prior to this investment, the company had raised a total of $65 million and its last public valuation was $245 million. Catalyst said the investment would deepen the integration between its offering and Databricks’ lakehouse, enabling a better user experience for their joint customers. Founded in 2016, Catalyst is an SaaS platform that aggregates customer data from multiple sources into one intuitive view and provides sales and success teams detailed insights into customer maturity, health and upsell potential. Notably, the CEO added that Catalyst is the only platform that proactively tells enterprises which of their playbooks are actually generating positive results in customer adoption or increased spending.
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