Deep Forestry

PUBLIC

Name	Deep Forestry
Tagline	Autonomous forest drones for precision surveys and AI-driven forestry insights
Headquarters	Sweden
Founded	2016
Stage	Pre-Seed
Business Model	Hardware + Software
Industry	Agtech
Technology	Robotics
Geography	Western Europe
Growth Profile	Lifestyle Business
Founding Team	Solo Founder
Funding Label	Undisclosed

Links

PUBLIC

• Website: https://www.deepforestry.com/
• LinkedIn: https://www.linkedin.com/company/deep-forestry

Executive Summary

PUBLIC

Deep Forestry is an eight-year-old Swedish deep-tech startup developing a fully autonomous drone system to survey forests from below the canopy, a technical approach that merits investor attention for its potential to unlock granular, tree-level data for a sector historically reliant on manual estimates and imprecise aerial scans [deepforestry.com]. The company was founded in 2016 by solo founder Levi Farrand, who launched the venture with the straightforward premise that better forest measurement could lead to better protection [careers.deepforestry.com]. Its core product combines autonomous robotics with AI analysis to generate millimeter-accurate measurements of individual trees for inventory, health, and ESG reporting, claiming a 30-100x speed advantage over traditional methods [deepforestry.com]. Farrand's background blends technical field experience from his prior role as a mass spectrometry technician at Sweden's Geological Survey with unconventional operational grit from work as an adventure guide and naval diver, a profile that suggests resilience but lacks a prior track record in scaling a hardware-enabled SaaS business [Crunchbase, LinkedIn].

To date, the company appears to have been bootstrapped or funded through non-dilutive grants, including participation in an EU Horizon 2020 project and a Vinnova research grant, with no traditional venture rounds publicly disclosed [cordis.europa.eu, vinnova.se]. The business model is a combined hardware and software offering, though specific pricing and go-to-market motion are not detailed in public materials. Over the next 12-18 months, the critical watchpoints will be the transition from grant-funded research to commercial deployments with named forestry customers, the validation of its autonomy and accuracy claims in third-party case studies, and any movement on its stated hiring plans for enterprise sales and engineering roles [careers.deepforestry.com].

Data Accuracy: YELLOW -- Core product claims are from the company site; founder background and grant participation have partial corroboration; revenue, valuation, and team size are from a single unverified source.

Taxonomy Snapshot

Axis	Classification
Stage	Pre-Seed
Business Model	Hardware + Software
Industry / Vertical	Agtech
Technology Type	Robotics
Geography	Western Europe
Growth Profile	Lifestyle Business
Founding Team	Solo Founder

Company Overview

PUBLIC

Deep Forestry AB, a Swedish legal entity registered in Uppsala, began in 2016 as a solo founder project led by Levi Farrand [careers.deepforestry.com]. The founding premise, as stated on the company's careers page, was that better forest measurement could lead to better forest protection [careers.deepforestry.com]. Farrand's background prior to founding the company included roles as an inductively coupled plasma mass spectrometry technician at Sweden's Geological Survey and as an adventure guide and naval diver in Australia [Crunchbase] [LinkedIn/YouTube].

Key milestones for the company have been primarily tied to European research and innovation grants rather than commercial traction or venture capital. The company participated as a project coordinator in the EU Horizon 2020 DFD project, a research initiative focused on digital forestry [cordis.europa.eu]. More recently, Deep Forestry was a participant in the Vinnova-funded FORESTMAP project, a collaboration with Swedish forestry giant SCA [vinnova.se]. In 2025, the company was named the winner of the CMPC Smart Forest Solutions Challenge, a competition organized by the forestry-focused foresight group Foresight CAC [foresightcac.com].

Data Accuracy: YELLOW -- Founder and founding year confirmed by company site. Milestone details are from official EU and Swedish innovation project pages, but team background and business entity details rely on single-source profiles.

Product and Technology

MIXED Deep Forestry's core proposition is a hardware-software system designed to automate a specific, labor-intensive task: measuring individual trees within a forest. The company claims its drone is the world's only fully autonomous system that navigates below the forest canopy, scanning each tree before uploading data to the cloud [deepforestry.com]. This below-canopy flight path is the primary technical differentiator from aerial or satellite surveys, which the company argues provide an incomplete picture.

On the software side, the platform uses AI to process the captured data, generating metrics for each tree including height, diameter, volume, species identification, and health, with claimed millimeter accuracy [deepforestry.com]. The output is framed as actionable insights for forest management, biodiversity tracking, and ESG reporting, requiring no GIS expertise from the user. The company states the process is 30 to 100 times faster than manual surveys [deepforestry.com]. While no third-party verification of these performance claims is available, the company's participation in research projects like the EU's H2020 DFD initiative provides some external validation of its technical approach [cordis.europa.eu].

Public information on the underlying technology stack is limited. Inferred from job postings seeking specialists in machine learning, computer vision, robotics, and autonomy, the system likely relies on a combination of LiDAR or other 3D sensors, SLAM (Simultaneous Localization and Mapping) algorithms for navigation in GPS-denied environments, and computer vision models trained for tree species classification [careers.deepforestry.com]. A partnership with Dutch robotics company Avular, mentioned on Avular's website, suggests collaboration on drone development, though the nature and scope are not detailed [avular.com].

Data Accuracy: YELLOW -- Core product claims are sourced from the company website. Technical validation is partially corroborated by EU project participation, but performance benchmarks and detailed tech stack are not independently verified.

Market Research

MIXED The market for precision forestry data is emerging from a reliance on manual methods, driven by the need for verifiable environmental accounting and operational efficiency in a historically low-tech industry. This shift creates a new category of demand, distinct from traditional forestry services, centered on high-resolution, tree-level data.

Quantifying the total addressable market for autonomous forest surveys is challenging due to the nascent nature of the service. No third-party reports specifically sizing this niche were identified in the research. As an analogous market, the global forestry and logging market was valued at approximately $1.4 trillion in 2024, according to a report by The Business Research Company [The Business Research Company, 2024]. The serviceable addressable market (SAM) for technology-driven forestry solutions is a subset of this, with the global precision forestry market projected to grow from $6.2 billion in 2023 to $10.3 billion by 2028, a compound annual growth rate of 10.7% [MarketsandMarkets, 2023]. Deep Forestry's initial serviceable obtainable market (SOM) would be a further fraction, targeting large-scale commercial forestry and timberland investment management organizations in Western Europe and North America that require frequent, high-accuracy inventories.

Several demand drivers are converging to pull technology into the sector. The primary tailwind is the regulatory and voluntary push for environmental, social, and governance (ESG) and carbon market compliance, which requires transparent, auditable data on forest carbon stocks and biodiversity [deepforestry.com]. Manual estimates are insufficient for this level of verification. Concurrently, commercial forestry operations face pressure to optimize harvest yields and logistics, where inaccurate inventory data directly impacts profitability. A secondary driver is the increasing frequency and severity of forest disturbances, such as pests and wildfires, which necessitate more frequent health monitoring than traditional methods allow.

Adjacent and substitute markets indicate both opportunity and competitive pressure. The primary substitute remains manual surveying crews and consulting foresters, which Deep Forestry claims to outperform by 30-100 times in speed [deepforestry.com]. Adjacent markets include the broader commercial drone services sector, valued at over $40 billion globally [Fortune Business Insights, 2024], and the geospatial analytics software market. These larger, more established markets provide a pool of potential customers and partners but also house competitors with broader capabilities. The regulatory landscape is generally supportive, with European Union initiatives like the European Green Deal and the EU Deforestation Regulation (EUDR) creating mandatory due diligence requirements for forest-risk commodities, which will likely increase demand for traceability and precise mapping solutions [European Commission].

Global Precision Forestry Market (2023) | 6.2 | $B
Projected Market (2028) | 10.3 | $B

The projected growth in the precision forestry category, while not a direct measure of demand for autonomous drones, signals institutional recognition of technology's role in the sector's future. The double-digit CAGR suggests a market in transition, though the ultimate share captured by any single technological approach remains an open question.

Data Accuracy: YELLOW -- Market sizing relies on analogous reports; demand drivers are cited from company materials and public policy announcements.

Competitive Landscape

MIXED Deep Forestry operates in a niche defined by sub-canopy robotics, a technical frontier that separates it from the majority of aerial survey providers.

A direct comparison of key players in the forestry and drone survey space shows a clear segmentation by approach.

Company	Positioning	Stage / Funding	Notable Differentiator	Source
Deep Forestry	Autonomous sub-canopy drones for tree-level inventory	Pre-Seed / Undisclosed	Claims fully autonomous navigation between trees for millimeter-accurate, individual tree scans	[deepforestry.com]
Zeitview (formerly DroneBase)	Aerial inspection platform for energy and infrastructure	Venture-backed	Broad enterprise platform with a large pilot network and multi-industry focus	[Crunchbase]
Terra Drone Corp	Industrial drone solutions and UTM services	Series B / $70M (2022)	Global scale, heavy focus on surveying, mapping, and urban air traffic management	[Crunchbase, 2022]
Ocell	AI-powered drone analytics for agriculture and forestry	Seed / $1.5M (2023)	Specializes in AI analytics atop standard drone imagery for crop and forest health	[Crunchbase, 2023]
Indrones	Drone solutions for surveying, mapping, and delivery	Venture-backed	Integrated hardware-software provider with a presence in emerging markets	[Crunchbase]

The competitive map breaks into three clear tiers. At the top are the scaled aerial survey platforms like Zeitview and Terra Drone, which command significant capital and offer turnkey services across energy, construction, and agriculture. Their forestry offerings typically rely on above-canopy flights, trading some granularity for operational scale and reliability. The second tier includes analytics-focused software players like Ocell, which apply computer vision to imagery captured by standard drones. Deep Forestry sits in a third, technically distinct category: integrated hardware-robotics companies attempting to solve the sub-canopy navigation problem. Adjacent substitutes include traditional manual surveyors and terrestrial laser scanning (TLS) services, which offer high precision but lack the speed and automation Deep Forestry claims.

Deep Forestry's claimed edge is technical and singular: autonomous navigation in GPS-denied, cluttered environments below the forest canopy. If proven, this capability would be a durable differentiator, as it requires expertise in robotics, computer vision, and sensor fusion that is not easily replicated. The company's participation in EU research consortia, such as the H2020 DFD project, provides a public signal of technical credibility and access to grant funding that can extend the runway without dilutive capital [cordis.europa.eu]. However, this edge is perishable. It depends entirely on maintaining a lead in autonomy algorithms and preventing the diffusion of similar technology into the product roadmaps of better-funded robotics or drone companies.

The company's exposure is multifaceted. Its most significant vulnerability is go-to-market. While larger competitors like Terra Drone have established sales channels and proven deployment models, Deep Forestry has not publicly named any commercial customers [Prospeo.io]. This creates a risk that a well-capitalized competitor could develop or acquire similar sub-canopy technology and use an existing distribution network to capture the market. Furthermore, the company's focus on a single, niche application (forestry) limits its total addressable market and makes it susceptible to budget cycles within the forestry industry, which may prioritize cost over cutting-edge technology.

The most plausible 18-month scenario hinges on validation. If Deep Forestry can publicly demonstrate a paid, repeatable deployment with a major forestry operator like SCA (with whom it collaborates on a Vinnova project [vinnova.se]), it would solidify its technical edge and attract strategic investment. In this case, Ocell and other analytics-only players could be the immediate losers, as their above-canopy data advantage diminishes. Conversely, if the autonomy claims remain unverified or the product proves operationally fragile, the company risks becoming an academic project. The winner in a scenario of delayed commercialization would likely be a scaled player like Terra Drone, which could partner with a university lab to develop a similar capability and deploy it through its global service arm.

Data Accuracy: YELLOW -- Competitor funding and stage data sourced from Crunchbase; Deep Forestry's differentiation claims are from its website. No third-party verification of technical capabilities or market position.

Opportunity

PUBLIC The prize for Deep Forestry is the automation of a foundational, multi-billion-dollar global measurement layer for natural capital, a market currently defined by manual labor and imprecise remote sensing.

The headline opportunity is to become the default system for high-resolution, tree-level forest data, a category-defining platform for carbon markets, sustainable forestry, and biodiversity compliance. The reachability of this outcome hinges on a specific technical claim: that its drone is the only system capable of fully autonomous below-canopy flight, a capability that directly addresses the precision gap left by satellites and above-canopy drones [deepforestry.com]. This is not a generic software improvement but a hardware-enabled data capture breakthrough. Evidence that the underlying technology is being taken seriously includes its role in the EU-funded DFD project, where Deep Forestry is listed as the coordinator, indicating validation from a major research body [cordis.europa.eu]. The win condition is not merely selling drones but establishing its data format and analytics as the trusted source of record for forest assets.

Growth scenarios outline concrete paths from a niche hardware provider to a scalable data platform. Each scenario requires a specific catalyst that has some precedent in the company's public activities.

Scenario	What happens	Catalyst	Why it's plausible
Regulatory Standard for Carbon	Forestry carbon credits require Deep Forestry-grade verification, making its platform mandatory for project developers.	A major carbon registry (e.g., Verra) adopts a new methodology requiring sub-canopy LiDAR.	The company is already framing its data for ESG and carbon reporting [deepforestry.com], and its win in the CMPC Smart Forest Solutions challenge shows engagement with large industry players seeking verification solutions [foresightcac.com, 2025].
Embedded Data Supplier for Timber Majors	Large forest owners (e.g., SCA, Weyerhaeuser) integrate Deep Forestry's data feed into their core planning and logistics systems on a subscription basis.	A multi-year enterprise deal with a partner like SCA, with whom it collaborates on the Vinnova FORESTMAP project [vinnova.se].	The cited collaboration with SCA provides a direct beachhead into a major landowner's operations, moving from a research grant to a commercial deployment.
Reseller Network in Key Geographies	Regional forestry consultancies become certified resellers, driving adoption without a large direct sales force.	A formal partnership with a reseller like Kajima-Innovation, which claims to be an early US adopter [LinkedIn, 2026].	The LinkedIn post from a Kajima executive suggests an existing, albeit informal, channel partnership that could be scaled and replicated in other timber-rich regions.

What compounding looks like is a data network effect. Each forest surveyed adds to a proprietary, high-fidelity 3D map of tree morphology, health, and growth patterns. This dataset, unique because of the below-canopy capture method, would improve the company's AI models for species identification and biomass estimation faster than any competitor relying on inferior data sources. The flywheel begins when the accuracy of these models becomes a selling point that wins more surveys, which in turn generates more training data. Early signs of this compounding are not yet public in the form of published model performance, but the technical premise is that the data collection method itself creates the barrier. A partnership with Avular for drone development suggests a focus on hardening the hardware to consistently gather this proprietary data at scale [avular.com].

The size of the win can be framed by looking at the valuation of companies that own critical measurement layers in adjacent industries. For example, Planet Labs, a provider of satellite Earth observation data, reached a public market capitalization of approximately $640 million as of early 2025. While Planet operates at a planetary scale, its valuation reflects the premium placed on owning a unique, frequently updated dataset. A more direct, though private, comparable is unavailable. If the "Regulatory Standard for Carbon" scenario plays out, Deep Forestry's platform could command a similar premium for being the definitive source for a specific, high-value vertical. In this scenario, capturing even a single-digit percentage of the voluntary carbon market's project verification spend,a market projected to be worth $10-$40 billion annually by 2030 in various analyst reports,would support a valuation significantly above its current estimated $2.5 million. This is a scenario-based illustration, not a forecast.

Data Accuracy: YELLOW -- Growth scenarios are constructed from cited partnerships and project wins, but commercial traction and path to scale remain unconfirmed by independent third parties.

Sources

PUBLIC

1. [deepforestry.com] Autonomous Forest Drones for Precision Surveys & AI-Driven Insights | https://www.deepforestry.com/

2. [careers.deepforestry.com] People - Deepforestry | https://careers.deepforestry.com/people

3. [Crunchbase] Levi Farrand - Founder and CEO @ Deep Forestry | https://www.crunchbase.com/person/levi-farrand

4. [LinkedIn/YouTube] DIGITAL FORESTER S5 E7 Levi Farrand Oct 5 video edit - YouTube | https://www.youtube.com/watch?v=d-qp8x8FScc

5. [cordis.europa.eu] EU H2020 DFD project | https://cordis.europa.eu/project/id/101017857

6. [vinnova.se] Vinnova grant E! 115341 FORESTMAP project | https://www.vinnova.se/en/p/forestmap/

7. [foresightcac.com] Winner of CMPC Smart Forest Solutions Challenge | https://www.foresightcac.com/news/cmpc-smart-forest-solutions-challenge-winner-announced

8. [Prospeo.io] Deep Forestry | https://prospeo.io/c/deep-forestry

9. [avular.com] Partnership with Avular for drone development | https://www.avular.com/

10. [The Business Research Company, 2024] Global Forestry And Logging Market Report 2024 | https://www.thebusinessresearchcompany.com/report/forestry-and-logging-global-market-report

11. [MarketsandMarkets, 2023] Precision Forestry Market by Technology, Application, Offering, and Region - Global Forecast to 2028 | https://www.marketsandmarkets.com/Market-Reports/precision-forestry-market-256726118.html

12. [Fortune Business Insights, 2024] Commercial Drone Market Size, Share & Industry Analysis | https://www.fortunebusinessinsights.com/commercial-drone-market-102065

13. [European Commission] EU Deforestation Regulation | https://environment.ec.europa.eu/topics/forests/deforestation-regulation_en

14. [LinkedIn, 2026] Chihiro Saito - Kajima-Innovation and Incubation Office | https://www.linkedin.com/in/chihiro-saito-4931ba1b4/

15. [Tracxn, 2026] Deep Forestry - 2026 Company Profile, Team, Funding, Competitors & Financials - Tracxn | https://tracxn.com/d/companies/deepforestry/__c0L4vsg3renBYVmxBFzxRX1Z9cls4OcI3rbMwZx94yw