MoBagel

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MoBagel is a Silicon Valley company based in Santa Clara, founded by innovators from Stanford and UC Berkeley with a team drawing on Stanford, UC Berkeley, and Oxford, that builds enterprise grade agentic AI for business intelligence. Its flagship C-Suites AI Builder enables data teams to create and scale agents that deliver end to end intelligence through three coordinated layers, Report AI for real time reporting, Decision AI for guiding strategy, and Action AI for triggering automated workflows. Underneath sits Decanter AI, a no code AutoML platform containing more than one hundred machine learning algorithms plus automatic time series forecasting, which lets data scientists, domain experts, and business stakeholders build, test, and deploy accurate models through an intuitive interface. MoBagel has been recognized by Gartner as a representative AI vendor for five consecutive years, was named a key AI/ML platform vendor in Gartner's Top Ten Strategic Tech Trends for 2020 report, and reports more than eleven thousand brands empowered, with customers including SoftBank, Advantech, AU Optronics, New Balance, and Coca Cola. The platform ships pre-trained vertical agents. The Marketing AI Agent, built around the AI Audience product, unifies the funnel with creative intelligence, machine learning audience targeting, and churn to upsell prediction, monitoring traffic, conversions, and key metrics on a unified dashboard; a cosmetics brand case study reports cost per acquisition cut by forty two percent with tripled ad spend. The Finance AI Agent unifies financial data, predicts overdue payments and uncollectible accounts, and runs an early warning system that automatically reminds stakeholders. The Supply Chain AI Agent strengthens demand forecasting, with a logistics case study reporting forecast accuracy lifted from sixty to ninety percent, and the Manufacturing AI Agent predicts equipment failures for proactive maintenance. MoBagel is a Qualcomm strategic partner for AI inference and has collaborated with Fujitsu, whose Kozuchi research technology is used in Decanter AI. MoBagel sits at the agent builder and data analyst layer, turning enterprise data into decisions and automated actions, and it works through a co-creation and co-deployment model with partner companies that bring domain expertise. It offers a documented API and a public Python SDK for Decanter. It is a strong fit for enterprises that want outcome focused, pre-trained vertical agents grounded in their own operational data, and a weaker fit for teams seeking open LLM choice, a self hosted deployment, or deep agent-level governance tooling, none of which are documented.