Facts

• Segment: Agriculture
• Country: Sweden
• Website: https://www.deepforestry.com

Profile sections

• Summary
• Market context
• Facts
• Funding
• Investors
• Context / Market Position
• Events
• Team
• Supply chain relationships
• Context tags
• Sources

Summary

Deep Forestry develops autonomous forest drones for below-canopy inventory and environmental data collection. Its drones navigate between trees to build tree-level 3D maps, helping forestry teams measure diameter, height, volume, biodiversity and carbon data faster than manual surveys.

Market context

Deep Forestry is relevant because it applies autonomous flight and spatial AI to a difficult outdoor environment where ground-truth forest data is expensive and hard to collect manually. Deep Forestry uses autonomous drones and AI analytics for forest inventory and natural-resource mapping.

Facts

• Website: https://www.deepforestry.com
• HQ: Stockholm, Sweden
• Segment: Agriculture
• Known funding rounds: 1

Funding

• 2026-05-07 - Seed - $3M - Deep Forestry raises €3M seed for autonomous under-canopy forest drones - source: deepforestry.com

Investors

• Arbor Day Foundation Impact Fund - Participant - Vc - 1 funding event - first seen 2026-05-07
• Fairpoint Capital - Lead - Vc - 1 funding event - first seen 2026-05-07
• First Gate Invest - Participant - Unknown - 1 funding event - first seen 2026-05-07
• Spatial Capital - Participant - Vc - 1 funding event - first seen 2026-05-07
• Superorganism - Participant - Unknown - 1 funding event - first seen 2026-05-07

Under-canopy drone mapping for forest intelligence

Deep Forestry develops autonomous under-canopy drone systems and AI analytics for single-tree forest inventory, biomass measurement, biodiversity reporting and forestry operations.

• Target environment: Forests, under-canopy mapping routes and natural-resource inventory programs.
• Deployment model: Drone mapping and analytics system for forestry operators, land managers and sustainability-data customers.
• Customer context: Forestry companies, carbon and biodiversity teams, land managers and timber operations.
• Workflow context: Under-canopy autonomous flight, single-tree inventory, biomass measurement, harvest planning and biodiversity reporting.
• Commercial maturity: Seed-stage robotics and AI company with reported 1,000+ autonomous under-canopy flights.
• Market position: Forest robotics and spatial-intelligence company focused on under-canopy environments.
• Adoption constraints: Adoption depends on flight reliability under canopy, mapping accuracy, regulatory access, analytics quality and forestry customer workflows.
• Adjacent context: Forestry drones, environmental robotics, spatial AI, remote sensing, carbon measurement and natural-resource analytics.
• Source confidence: high

Under-canopy drone mapping for forest intelligence

Deep Forestry develops autonomous under-canopy drone systems and AI analytics for single-tree forest inventory, biomass measurement, biodiversity reporting and forestry operations.

• Target environment: Forests, under-canopy mapping routes and natural-resource inventory programs.
• Deployment model: Drone mapping and analytics system for forestry operators, land managers and sustainability-data customers.
• Customer context: Forestry companies, carbon and biodiversity teams, land managers and timber operations.
• Workflow context: Under-canopy autonomous flight, single-tree inventory, biomass measurement, harvest planning and biodiversity reporting.
• Commercial maturity: Seed-stage robotics and AI company with reported 1,000+ autonomous under-canopy flights.
• Market position: Forest robotics and spatial-intelligence company focused on under-canopy environments.
• Adoption constraints: Adoption depends on flight reliability under canopy, mapping accuracy, regulatory access, analytics quality and forestry customer workflows.
• Adjacent context: Forestry drones, environmental robotics, spatial AI, remote sensing, carbon measurement and natural-resource analytics.
• Source confidence: high

Under-canopy drone mapping for forest intelligence

Deep Forestry develops autonomous under-canopy drone systems and AI analytics for single-tree forest inventory, biomass measurement, biodiversity reporting and forestry operations.

• Target environment: Forests, under-canopy mapping routes and natural-resource inventory programs.
• Deployment model: Drone mapping and analytics system for forestry operators, land managers and sustainability-data customers.
• Customer context: Forestry companies, carbon and biodiversity teams, land managers and timber operations.
• Workflow context: Under-canopy autonomous flight, single-tree inventory, biomass measurement, harvest planning and biodiversity reporting.
• Commercial maturity: Seed-stage robotics and AI company with reported 1,000+ autonomous under-canopy flights.
• Market position: Forest robotics and spatial-intelligence company focused on under-canopy environments.
• Adoption constraints: Adoption depends on flight reliability under canopy, mapping accuracy, regulatory access, analytics quality and forestry customer workflows.
• Adjacent context: Forestry drones, environmental robotics, spatial AI, remote sensing, carbon measurement and natural-resource analytics.
• Source confidence: high

Events

• 2026-05-07 - Funding - Deep Forestry raises €3M seed for autonomous under-canopy forest drones - Deep Forestry raised EUR 3 million led by Fairpoint Capital, with participation from Superorganism, SpatialCapital, The Ar…
• 2025-03-18 - Award - Deep Forestry wins CMPC Smart Forest Solutions Challenge - Foresight Canada described Deep Forestry's approach as autonomous drones and AI for tree-level forest analysis.
• 2024-01-25 - Research Publication - Vinnova reports Hyper-Forest autonomous under-canopy drone prototype testing - The project built an autonomous drone prototype for flying below forest canopy.

Team

• Levi Farrand - Founder and CEO

Supply chain relationships

• Ouster - lidar_sensor_supplier - Deep Forestry autonomous survey drones are powered by Ouster OS0 lidar.

Context tags

• Aerial mapping robot OEM - Stack Layer - Deep Forestry uses autonomous drones for under-canopy forest mapping.
• Aerial Mapping - Workflow - Deep Forestry targets precision forest inventory and spatial mapping.