Burnt Prairie · On-site · $150k–$275k/yr
Burnt
Backed byPenny Jar CapitalAbout Burnt
Burnt is building the AI Brain for global supply chains, starting with the global food supply chain from farm to table. The company has automated $10M+ in monthly orders without humans in the loop and has raised $3.8M from Penny Jar and Scribble Ventures. Burnt plans to expand from food distribution into full enterprise deployments across the broader food supply chain, from freight to manufacturing to distribution, with its AI agents proactively helping to run the business. It aims to do for the entire supply chain stack what Salesforce did for CRM and describes itself as an AI Watchtower for global supply chains in a $10 trillion+ market. Burnt is currently building its founding team and hiring elite builders.
Open positions · 1
Company at a glance
Founders & Leadership
Location
About the Team
Team Distribution
- Leadership38%
- Operations25%
- Engineering13%
- Sales13%
- Other13%
Where the Team Studied
- 1.University of South Africa
- 2.HEC Paris
- 3.London School of Economics and Political Science
- 4.Duke University
- 5.Georgetown University
Team Worked At
- Sony
- Teradata
- ThoughtWorks
- Accenture
Team Composition
7 people- Entrepreneurship3 senior3
- Information Technology1
- Operations1
- Sales1
Culture & values
We are hiring elite, competitive builders to join the founding team and expand into enterprise deployments across the broader food supply chain.
Funding History
$3.8M
raised
Burnt, an AI supply-chain automation startup for food distributors, raised a $3.8 million seed round led by PennyJar Capital with Scribble Ventures, Formation VC, and angel investor Dan Scheinman participating.
Life at Burnt
Frequently asked questions
Companies similar to Burnt
Arga Labs provides isolated sandbox environments equipped with API twins of third-party services, enabling developers and organizations to safely test and train AI agents without risking their production systems. By offering a controlled testing ground that mirrors real-world APIs, the company allows teams to experiment with AI implementations, validate workflows, and refine agent behavior in a risk-free setting. This approach addresses a critical need in AI development, where testing in live environments can introduce costly errors or security vulnerabilities.
Avallon creates AI agents that make claims operations teams an order of magnitude more efficient. The company is composed of engineers and operators with deep industry experience whose backgrounds span top institutions like Cornell, MIT, and HSG and whose work includes published research in NLP. Avallon has scaled technology in complex, traditional industries and built products trusted by Fortune 500 companies. The company grew revenue 10x in three months during Y Combinator and is backed by top investors including YC, Frontline Ventures, 1984, and Booom VC as it scales rapidly.
The company aims to make building affordable by leveraging AI to analyze blueprints. It focuses on building computer vision object detection models and coordinating these models, with an emphasis on ML and algorithm development. The company states it prioritizes the intelligence side (ML and algorithms) over the application side. Backed by investors who have funded PlanGrid, Dropbox, and Airbnb, it has strong backing. It is part of Y Combinator's Winter 2025 batch (YCW25).
