
Metafoodx is AI-driven technology that aims to reduce food waste at the source by delivering data and insights on actual consumption. A quick 2-second scan provides operators the information they need to substantially reduce overproduction and increase food safety, while significantly lowering the amount of food waste that ends up in landfills. As a result, organizations see measurable increases in profit margins while also minimizing the overall carbon footprint.

Metafoodx is AI-driven technology that aims to reduce food waste at the source by delivering data and insights on actual consumption. A quick 2-second scan provides operators the information they need to substantially reduce overproduction and increase food safety, while significantly lowering the amount of food waste that ends up in landfills. As a result, organizations see measurable increases in profit margins while also minimizing the overall carbon footprint.
What they do: Patented AI food-operations platform (mobile AI scanner + cloud analytics) to track production, consumption, donations, and composting and reduce food waste
Headquarters: San Jose, California
Founders / CEO: Fengmin Gong (Co‑founder & CEO); Wicky Zhang listed as co‑founder in external profiles
Employees: ~22
Funding: Seed (Jan 18, 2024) and Series A (May 15, 2025; Series A reported $9.4M)
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Food waste reduction and foodservice operations optimization
Information Services
Seed round announced Jan 18, 2024 with investors including GFM Food Tech Accelerator, Daydaycook, and 424 Capital
$9.4M
Series A participants included ScalableVision Capital and BlueRun Ventures
“Includes strategic foodtech and venture investors such as GFM Food Tech Accelerator, Daydaycook, 424 Capital, BlueRun Ventures, ScalableVision Capital, and Trustbridge Partners”
We’re seeking a Product Data Analyst to turn product and customer data into clear insights that drive customer success, product improvements, and business growth. This is an unpaid internship with the opportunity to convert to a paid internship.
Key Responsibilities
1. Data Analysis & Insights
2. Reporting & Customer Support
3. Documentation & Knowledge Management
Qualifications