Kodama raises $7m to scale physical AI for commercial forestry

Kodama, a robotics company applying physical AI to forestry operations, has closed a $7 million financing round co-led by Konvoy Ventures and Breakwater Ventures. The raise brings total funding to $14 million and will support wider commercial deployments, deeper OEM integrations, and continued development of autonomy capabilities for off-road heavy equipment.

The round also drew participation from Blue Forest Asset Management, NYA Ventures, Breakthrough Energy Ventures, Congruent Ventures, and several other investors. Kodama said proceeds would be used to expand its technology across additional equipment platforms and to deepen existing relationships with forestry contractors and machine manufacturers.

The technology

Kodama's system pairs supervised autonomy with teleoperation: machines handle repetitive tasks independently while experienced operators intervene remotely for complex decisions and edge cases. The company says this hybrid model improves machine utilisation rates and extends the reach of skilled operators who are in increasingly short supply.

Over the six months prior to the announcement, machines running Kodama's platform moved more than 100,000 tons of timber across multiple states in the southeastern United States, the company said. Those commercial deployments are generating a continuous stream of real-world operating data that, Kodama argues, compounds into a proprietary training advantage.

"Kodama's tech stack is not something that can be vibe coded," said Merritt Jenkins, chief executive and co-founder. "It has to work in harsh environments with high uptime for crews that depend on it every day. That requires ruggedised hardware, production-grade software, safety systems, and a tight feedback loop with customers in the field."

Market context

Industrial autonomy is attracting substantial venture capital across agriculture, mining, construction, and forestry, driven by a common thesis: labour shortages in physically demanding, remote roles create a structural opening for robotic assistance. Forestry is a comparatively niche segment, but the dynamics are acute. Experienced equipment operators are difficult to recruit and retain, and idle machines in remote logging operations represent a significant economic drag.

Kodama competes in a space where the principal alternatives are either full manual operation or purpose-built autonomous vehicles that require customers to retire existing fleets. By integrating with established forestry-equipment manufacturers and working within current machine ecosystems, the company is positioning itself to reduce adoption friction. Jackson Vaughan, managing partner at Konvoy Ventures, noted that the combination of integrated hardware, OEM relationships, and real-world dataset is "difficult to reproduce and becomes stronger with every machine and customer Kodama brings online."

That data-compounding argument echoes strategies used successfully in autonomous trucking and agricultural robotics, where incumbents with early field deployments have built moats that later entrants struggled to close. Whether forestry yields similarly durable network effects will depend on how quickly the company can grow its machine count and whether OEM partnerships translate into distribution at scale.

Regulatory and standards outlook

Physical AI systems operating in commercial forestry fall under occupational safety frameworks in the United States, particularly OSHA standards for logging, which are among the most stringent in US industry given the sector's historically high fatality rate. A human-in-the-loop architecture helps Kodama navigate those requirements in the near term, since fully autonomous operation in commercial logging would face a more demanding regulatory path. As the platform moves toward greater autonomy, the company will need to engage with federal and state safety authorities on updated operational guidelines. Breakthrough Energy Ventures' participation is also notable: it signals investor interest in the intersection of forest management and wildfire resilience, an area attracting increasing policy attention as climate-driven fire risk expands across the western United States.