Kodama Systems Raises $7 Million for Timber Automation Deployment

Kodama Systems has raised $7 million to scale commercial deployments of its supervised autonomy technology for forestry equipment. The company's systems have been deployed in commercial logging operations across the southeastern United States for the past two years, moving more than 100,000 tons of timber in the last six months alone while improving machine utilization and safety.

The funding round was co-led by Konvoy Ventures and Breakwater Ventures. It included participation from Blue Forest Asset Management, NYA Ventures, Breakthrough Energy Ventures, Congruent Ventures, Dangerous Ventures, and M1C. This latest financing brings Kodama's total funding to $14 million.

Funding and strategic development

The new capital will support further commercial deployments, deepen partnerships with original equipment manufacturers (OEMs), and advance the development of Kodama's supervised autonomy platform. The company is already integrated with two of the world's three largest forestry equipment manufacturers. One customer in Georgia has been using the technology for over a year.

Industry context and workforce challenges

The forestry sector is under pressure. Contractors face rising demand for timber and forest management work, including wildfire-resilience projects. They simultaneously struggle with high operator turnover, the physical strain of the job, and difficulty recruiting experienced personnel. When operators miss shifts, expensive machines sit idle, undermining operational economics.

Kodama's technology directly addresses these workforce challenges by providing more reliable, consistent operations. The system improves machine utilization, a critical metric for logging businesses. Safety improvements have also been observed, as remote operation reduces risks associated with cab-based injuries and hazards from falling trees.

Technology differentiation and future direction

Kodama employs a hybrid model that combines supervised autonomy with teleoperation. This allows machines to handle repeatable tasks autonomously while skilled operators manage complex work remotely from a control center. This approach amplifies the capabilities of existing operators and improves machine utilization in complex off-road environments.

The company's operations generate approximately one terabyte of training data per day through remote operation. Kodama plans to use this collected data to optimize machine coordination, fuel use, and broader productivity metrics. The data advantage compounds through a continuous learning loop across equipment, operators, worksites, and workflows.

Merritt Jenkins, CEO and co-founder of Kodama, emphasized that the technology stack must work in harsh environments with high uptime for crews. Jackson Vaughan, Managing Partner at Konvoy Ventures, noted that Kodama is developing integrated hardware, deepening customer relationships, and building real-world datasets for scalable intelligent forestry. Kodama plans to expand its deployments and leverage its growing data repository to further optimize machine coordination, fuel use, and productivity metrics.