Burnt Secures $3.8M to Automate Food Supply Chains with AI

September 25, 2025
Burnt has raised $3.8 million in seed funding to develop an AI-powered platform that automates repetitive tasks in the food supply chain, announced in a press release. The funding round was led by Penny Jar Capital, with participation from Scribble Ventures, Formation VC, and other investors.

Burnt has raised $3.8 million in seed funding to develop an AI-powered operating system aimed at automating repetitive tasks in the food supply chain, announced in a press release. The funding round was led by Penny Jar Capital, with participation from Scribble Ventures, Formation VC, and other prominent investors.

Burnt's platform is designed to work with existing legacy systems, automating monotonous workflows without replacing them. This approach allows the company to capture orders from various sources and input the data into existing ERP systems more efficiently. Currently, Burnt processes over $10 million worth of orders monthly for its initial customers, which include top food distributors across meat, seafood, and specialty foods.

The startup's first AI agent, Ozai, automates the order-entry process, handling up to 80% of workflows that are typically stuck in outdated systems. This innovation aims to streamline operations in the food supply chain, a sector known for its complexity and reliance on manual processes.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like AI Funding Brief or Daily AI Brief.

Also, consider following us on social media:

AI Funding News AI Brief AI Brief (X)

More from: Funding

09/25
Thyme Care Secures $97M Series D to Expand AI-Driven Oncology Solutions
09/25
NAVER D2SF Invests in GravityLabs for Health Habit Platform Expansion
09/25
Beroe Secures $34 Million to Enhance Procurement Intelligence
09/24
Cohere Secures Additional $100 Million, Valuation Hits $7 Billion
09/24
epresspack Acquires TheNewsMarket to Expand Global Presence

Subscribe to AI Funding Brief

AI Token Webinar

Market report

AI’s Time-to-Market Quagmire: Why Enterprises Struggle to Scale AI Innovation

ModelOp

The 2025 AI Governance Benchmark Report by ModelOp provides insights from 100 senior AI and data leaders across various industries, highlighting the challenges enterprises face in scaling AI initiatives. The report emphasizes the importance of AI governance and automation in overcoming fragmented systems and inconsistent practices, showcasing how early adoption correlates with faster deployment and stronger ROI.

Read more

You May Also Like