The drone lifts off, but instead of climbing into open sky, it dips forward, slipping sideways into a narrow gap between two towering pines. The world on the pilot's screen dissolves into a green-brown blur of bark and branch, a first-person view of a descent into the forest floor. This is the signature move of Deep Forestry's autonomous system: flying not above, but within. The goal is not a bird's-eye photograph, but a three-dimensional census, tree by individual tree, built from the inside out [Deep Forestry].
For commercial forestry, a sector historically measured in hectares and cubic meters, this is a shift in resolution. The traditional methods, satellite imagery, manned aircraft surveys, ground crews with clipboards, offer estimates. Deep Forestry's proposition is a precise, push-button inventory. Their lightweight drone, equipped with Ouster lidar and other sensors, is designed to navigate the dense, cluttered environment below the canopy, capturing structural data that feeds into AI algorithms for analysis [Ouster]. The output is a detailed 3D point cloud and a suite of insights on biomass, carbon stock, and optimal harvest routes, delivered as a turn-key service [ESA Commercialisation Gateway].
The wedge is under the canopy
The company's technical moat is defined by a single, difficult environment. Flying autonomously at speed between closely spaced tree trunks, with uneven terrain and low-hanging branches, is a robotics challenge distinct from open-field agriculture or warehouse scanning. Deep Forestry claims to have built "the first agile, light-weight, autonomous drone to fly below the canopy of commercial forests" [USDA National Agricultural Library]. This under-canopy capability is the wedge. It allows the system to capture data, trunk diameter, crown structure, health indicators, that is simply invisible from above. The promise is to digitize the most labor-intensive and imprecise part of forestry fieldwork, transforming a forest from a monolithic asset into a granular, data-rich portfolio of individual trees.
A bet on precision forestry's moment
The timing aligns with several converging pressures. Sustainable forest management is no longer a niche concern but a core component of corporate ESG reporting and carbon credit markets. Investors and regulators demand accurate, verifiable data on carbon sequestration and biodiversity, which traditional broad-stroke surveys cannot provide. Furthermore, optimizing harvests for maximum yield with minimal waste is a direct economic incentive for forest owners. Deep Forestry is positioning its technology at the intersection of these demands, serving what it calls "precision forestry" [Author note, May 2026]. Their early customer list suggests the message is resonating with the industry's largest players in Sweden, including SCA, Stora Enso, and Sveaskog.
The team and the traction
Founded in 2018 and based in Uppsala, Sweden, Deep Forestry is led by a trio of co-founders. Levi Farrand serves as CEO, William Johnsson as COO, and Erik Osterberg as CTO [Crunchbase]. The backgrounds hint at the interdisciplinary nature of the work: Farrand's experience includes a role at Sweden's Geological Survey, Johnsson previously worked in venture management at Vargas Holding, and Osterberg is an Uppsala University alumnus [Crunchbase]. The company has also engaged with the European Space Agency's commercialisation network and partners with hardware specialists like Avular for robotics platforms [ESA Commercialisation Gateway] [Avular].
The most concrete signal of progress is a recently closed €3 million seed funding round led by Fairpoint Capital, with participation from the EIC Fund and ESA BIC Sweden [Author note, May 2026]. This capital injection, following years of development, is likely earmarked for scaling deployments and commercial operations.
| Role | Name | Notable Background |
|---|---|---|
| CEO & Founder | Levi Farrand | Former ICP-MS Technician, Sweden's Geological Survey [Crunchbase] |
| COO & Founder | William Johnsson | Former Venture Manager, Vargas Holding [Crunchbase] |
| CTO & Founder | Erik Osterberg | Attended Uppsala University [Crunchbase] |
Where the wheels could come off
For all its technical ambition, Deep Forestry operates in a hard-tech arena with known hurdles.
- Operational complexity. Deploying autonomous drones in remote, variable terrain introduces logistical and regulatory friction. Each forest presents unique challenges, and consistent, fail-safe operation across thousands of hectares is an unproven milestone.
- Market education. While the largest Swedish forestry companies are early adopters, the broader global market may need convincing that the cost and complexity of this granular approach outweighs established, cheaper methods. The value proposition must clearly translate into superior financial or compliance outcomes.
- Competitive attention. While the direct competitor Tracy of Sweden is noted, the larger risk may come from adjacent sectors. Established drone surveying companies or agricultural robotics firms could decide to pivot resources into the forestry niche if it proves lucrative, leveraging their own distribution and manufacturing scale.
The company's answer likely rests on its first-mover expertise in under-canopy navigation and the depth of its proprietary AI models trained on forestry-specific data. Their partnership with lidar maker Ouster also suggests a focus on building a best-in-class sensor stack rather than commoditized hardware [Ouster].
The next twelve months
The immediate roadmap is defined by the seed round. Deep Forestry will be judged on its ability to convert capital into expanded customer contracts and demonstrable ROI for its forestry partners. Key milestones to watch will be announcements beyond the Swedish core market, perhaps into other timber-rich regions like Finland or Canada, and any quantification of the inventory efficiency gains or carbon measurement accuracy its system provides. Another round of hiring from its current estimated 1-10 employees [Prospeo] would signal growth, as would deeper technology integrations with the data platforms used by the forestry industry.
The closing scene is not of a drone returning to its case, but of a forester studying a tablet screen where a forest of green dots is annotated with numbers: diameter, height, estimated carbon. The product is the map, but the company is really selling a change in perspective. For centuries, forestry was a practice of approximation, of managing the whole. Deep Forestry's implicit question is whether the future belongs not to the managers of forests, but to the accountants of trees.
Sources
- [Deep Forestry] Company Introduction Video | https://www.youtube.com/watch?v=Jp_zYjy7Vvs
- [Ouster] Case Study: Autonomous Survey Drones Powered by Ouster Lidar | https://ouster.com/insights/case-studies/deep-forestry
- [Author note, May 2026] Deep Forestry raises €3M to build the forestry industry's spatial intelligence layer | https://www.deepforestry.com/press-release/deep-forestry-raises-eu3m-to-build-the-forestry-industrys-spatial-intelligence-layer
- [ESA Commercialisation Gateway] Deep Forestry AB profile | https://commercialisation.esa.int/startups/deep-forestry-ab/
- [USDA National Agricultural Library] revolutionising forestry mapping and analysis with artificial intelligence | https://www.nal.usda.gov/research-tools/food-safety-research-projects/deep-forestry-drones-revolutionising-forestry-mapping
- [Avular] Case study | https://www.avular.com/case-studies
- [Crunchbase] Founder profiles | https://www.crunchbase.com/organization/deep-forestry
- [Prospeo] Deep Forestry Company Profile | https://www.prospeo.com/company/deep-forestry-ab