Kodama, a robotics company building physical AI for forestry, announced US$7 million in new financing to accelerate commercial deployments and autonomy development. The round was co-led by Konvoy Ventures and Breakwater Ventures, with participation from Blue Forest Asset Management, NYA Ventures, Breakthrough Energy Ventures, Congruent Ventures, Dangerous Ventures, and M1C. The new capital brings Kodama's total funding to US$14 million and will support deeper OEM partnerships and expanded work in complex off-road environments.
Tackling a Skilled Labor Shortage in Forestry
Forestry contractors are facing rising demand for timber, forest management, and wildfire resilience work, but experienced equipment operators are increasingly difficult to recruit and retain. Remote jobsites and long hours make the work demanding, and when an operator misses a shift, expensive machinery can sit idle. Kodama addresses this challenge with a hybrid model that pairs supervised autonomy with teleoperation, allowing machines to handle repeatable tasks while experienced operators remotely manage complex work and edge cases.
Commercial Momentum Across the Southeastern United States
Kodama's technology is already deployed in commercial logging operations across the southeastern United States, and over the last six months, machines equipped with its systems have moved more than 100,000 tons of timber across multiple states. This field activity generates operating data and customer insight that improve current performance while building the foundation for increasingly autonomous forestry operations. As Kodama deploys more machines, its data advantage compounds through a continuous learning loop across equipment, operators, worksites, and workflows.
Building Durable Advantages in Heavy Equipment
Investors see Kodama's combination of integrated hardware, OEM relationships, and real-world datasets as difficult to reproduce. Jackson Vaughan, Managing Partner at Konvoy Ventures, said the company is deepening relationships with customers and equipment manufacturers while assembling the dataset required to make intelligent forestry work at scale. He added that this combination becomes stronger with every machine and customer Kodama brings online.
A Pragmatic Path to Autonomy
Will Finney, General Partner at Breakwater Ventures, emphasized that AI adoption will be won by companies solving real operating problems today. He noted that Kodama is already helping forestry contractors make better use of skilled labor while improving safety and equipment productivity. CEO Merritt Jenkins added that Kodama's technology must achieve high uptime in harsh environments through ruggedized hardware, production-grade software, safety systems, and close feedback with field customers.
Integrating With Existing Forestry Equipment
Kodama is building its platform within the existing forestry equipment ecosystem, which allows customers to adopt new operating capabilities while preserving the value of their current machine fleets. The company has already integrated its technology with forestry equipment manufacturers and is expanding support across additional equipment platforms. Jenkins said the future of heavy equipment will not arrive in a single autonomous leap, and Kodama is building the intelligence layer for heavy equipment operating in unstructured environments.
With US$7 million in fresh capital and total funding of US$14 million, Kodama is well positioned to expand its commercial footprint and advance its autonomy roadmap. The company's human-in-the-loop approach addresses immediate labor constraints while its expanding dataset supports longer-term automation across forestry operations. Kodama's progress demonstrates how practical robotics can deliver near-term value in demanding industrial environments while laying the groundwork for a more autonomous future.