The Technology Stack for Managing Forests

Forests are becoming harder to manage through periodic surveys and manual inspection alone. Climate pressure is increasing the need for faster information, while forestry companies still rely on slow fieldwork and machinery designed for another era. A new group of startups is applying software and advanced hardware to improve how forests are understood and protected. Others are changing how physical work is carried out. This landscape follows these companies from forest monitoring to timber trade.

Forest Intelligence

What is this category about?

• Forest intelligence products help forest owners understand what is happening across their land without relying only on manual field surveys. They use satellite imagery, aerial data or measurements collected inside the forest to build a digital view of each stand.

• A major problem is that forest inventories become outdated quickly. A survey may only cover selected plots and can remain in use for several years. During that time, trees grow and harvesting work changes the structure of the forest. Storms or drought can make the existing data inaccurate much faster.

• Large forest areas are also difficult to inspect. Satellite imagery can cover thousands of hectares, but it does not always show what is happening below the canopy. Manual measurements are more precise, but they are slow and expensive. The products in this category try to combine broad coverage with enough field data to produce reliable estimates.

• The final goal is not simply to create a better map. Forest managers need to know how much timber is present, where conditions have changed and which areas require work. The value comes from turning forest data into decisions about inventory, valuation or intervention.

What do products in this category do?

• A major product approach is to use satellite or aerial imagery to estimate forest conditions across large areas. This approach exists because customers need frequent updates without sending teams into every stand. CollectiveCrunch combines satellite and LiDAR data with local forest models to estimate inventory and detect changes. OCELL uses aerial imagery to create digital forest models that customers can use inside its management software.

• A second model collects detailed data inside the forest. This is useful when customers need information about individual trunks rather than general canopy coverage. Deep Forestry uses autonomous drones that fly between the trees and create a tree level inventory. 44moles uses LiDAR scans collected by field teams and turns them into standardized forest measurements.

• A third model turns smartphones or tablets into forestry tools. This reduces the need for specialized measurement equipment and makes it easier to collect data during normal fieldwork. Arboreal uses mobile cameras and LiDAR sensors to measure tree diameter and height. The results can then be exported into forestry or mapping systems.

• Some products go beyond measurement and become part of the customer’s daily operating system. The logic is simple: better data has limited value when it remains inside a report. Treemetrics connects inventory data with forest management and valuation workflows. OCELL uses the forest model as the basis for planning work and documenting what has happened. WoodMatch adapts this approach to smaller private owners by combining parcel data with practical management support.

What types of customers are using these products?

• Large forest owners are the clearest customer group. They manage enough land for small improvements in inventory accuracy to affect planning and operating costs. Metsähallitus has used CollectiveCrunch data in forest management planning. Sveaskog adopted Arboreal after testing the product as an alternative to manual measurement tools.

• Forestry groups and timber companies use these products to improve operations across large estates. Metsä Group has worked with CollectiveCrunch on storm and pest damage monitoring. Coillte has used Treemetrics for forest measurement and management work.

• Municipalities use similar technology for a different reason. They often manage urban forests and green areas where timber output is not the main priority. Karlstad Municipality uses Arboair to monitor tree damage and changes in canopy coverage across a defined area.

• Some companies reach smaller owners through partners rather than selling directly to each customer. Arboair integrated its analysis into Forsler’s Skovkortet platform in Denmark. WoodMatch works with forest owner associations that already have relationships with private landowners.

• The public customer evidence is strongest among large forestry organizations. Smaller owners are harder to reach and usually have less willingness to pay for advanced analytics. Products aimed at this segment often begin with free access or low-cost subscriptions.

What are the major trends shaping this category?

• Forest inventories are becoming less reliable between measurement cycles. Drought and pest outbreaks can change the condition of a forest quickly. This is increasing demand for monitoring systems that update more frequently than a traditional inventory.

• The cost of collecting forest data is falling. Satellite imagery is easier to access, while mobile LiDAR and drones make detailed field measurement cheaper. This allows startups to combine several data sources instead of depending on one expensive survey method.

• The market is moving beyond timber volume. Forest owners increasingly need information about biodiversity or carbon storage. They also want to understand whether management decisions are improving resilience. These use cases are harder to measure consistently, but they increase the value of a detailed forest model.

• Basic mapping is becoming easier to reproduce. Public tools such as FAO’s Open Foris already give users access to forest-monitoring infrastructure. Startups therefore need to compete through better ground data or by connecting the analysis directly with forest operations.

• European forest data will probably remain fragmented. Countries use different inventory methods and reporting systems. A platform that can work with local data while producing a consistent output may be more useful than one that depends on a single European standard.

How does the funding environment look?

• Funding is concentrated in a small group of companies. OCELL has raised €4.9 million in seed funding and a €10 million Series A. It is the clearest example of investors backing a forest management platform.

• Deep Forestry raised €3 million in 2026. Its investment case is different because the company controls the hardware used to collect the data. Autonomous flights below the canopy are technically harder than processing existing satellite imagery, but they may also produce data that competitors cannot easily access.

• CollectiveCrunch has raised €3.7 million across two disclosed rounds. Its funding shows how forest inventory software can expand into pest detection and biodiversity monitoring without changing the underlying data platform.

• Public financing has also played an important role. Treemetrics received large ESA contracts to develop remote-sensing products. These contracts should not be treated as venture rounds, but they helped finance technical work that would have been difficult for a small company to fund alone.

• Most companies in the category have raised little institutional capital. The question that hangs across this landscape is how “VC compatible” these startups really are.

Forest Health and Threat Detection

What is this category about?

• Forest health products help managers find damaged or stressed trees before the problem spreads. The current category on the map is heavily focused on bark beetles because outbreaks can move quickly across spruce forests and destroy valuable timber.

• The main challenge is that an infestation is difficult to see during its early stage. A tree may still look healthy from the outside while beetles reproduce beneath the bark. By the time the crown changes colour, the next generation may already be ready to leave and attack nearby trees.

• Manual inspection is still the standard approach, but it is difficult to repeat across a large forest. Workers must visit exposed areas regularly and inspect individual trees for small physical signs. This takes time, while the locations most at risk can change during the season.

• The products in this category try to narrow the search area. They identify suspicious trees or stands so the manager knows where to inspect. The value depends on how early the warning arrives and whether the product can separate an infestation from other forms of tree stress.

What do products in this category do?

• One approach is to use satellites to monitor large forest areas. This approach exists because managers need to know where conditions are changing before sending people into the field. Yolanda’s BugBit compares satellite imagery over time and combines it with weather information. Its web application then highlights areas where the forest may be under threat. The company initially focused on bark beetles but has started positioning the product as a broader forest health platform.

• A second model uses drones to inspect forests at much higher resolution. The logic is to observe individual trees more frequently without requiring a trained pilot for every flight. Drönarstation sells an autonomous drone with a solar powered charging station. The software identifies dead trees and places their coordinates on a map. It can also locate trees brought down by wind, which can become breeding material for bark beetles.

• The third approach lets users submit images for analysis. This is a lighter product model because the company does not need to operate the sensing hardware. BeetleSense allows users to upload up to 100 images taken with a phone or drone and purchase an infection scan for $30. The company is also developing a broader platform that combines several external data sources, but the image scan is currently the clearest commercial product.

• These approaches are likely to work together rather than replace one another. Satellite monitoring can identify a suspicious area. A drone can then inspect individual trees. A field visit is still needed before a tree is removed. The product becomes more useful when it supports this complete process instead of producing an isolated risk score.

What types of customers are using these products?

• Private forest owners are the clearest early customer group. They may not have the time or technical knowledge to inspect their land frequently. Drönarstation is designed as a tool that an owner can operate without a drone licence. The company reported selling five systems at the Borgeby Fältdagar event in 2026, with four purchased for forestry use. One system was exported to Norway.

• Professional forestry operators are another target customer. They manage larger areas and need to decide where field teams should spend their time. For these buyers, the product does not replace forest workers. It helps them focus inspections on the stands where a threat is more likely.

• Insurance companies are a possible customer for satellite based monitoring. Yolanda originally developed BugBit in response to a challenge about using space data in finance and insurance. The product could help an insurer assess changes in forest risk without waiting for a claim. Yolanda is still testing the platform with forestry and insurance stakeholders, so this remains a target market rather than proven commercial adoption.

• The public customer evidence remains limited. BeetleSense has a paid product but has not disclosed named customers. Yolanda has not published a commercial deployment. Drönarstation has reported actual unit sales, but it has not identified the buyers. The category therefore has early signs of demand without a strong library of customer cases.

What are the major trends shaping this category?

• Climate change is making outbreaks more frequent and more damaging. Warmer conditions allow bark beetle populations to grow faster. Drought also weakens the ability of trees to defend themselves. Large areas of Norway spruce were planted outside their natural range, which has left parts of Europe particularly exposed.

• The industry is learning that satellite imagery alone may not provide an early enough warning. A 2025 study found that Sentinel-2 imagery performed much better when the detection window was extended to 13 weeks. That is often too late for effective intervention because beetles can leave the original tree within six to ten weeks. The researchers concluded that satellite monitoring should complement field surveys rather than replace them.

• Drones are becoming more important because they can inspect individual tree crowns. A 2026 study across several European countries found that drone imagery could detect infestations before visible symptoms appeared. The results also showed that sensor choice matters. Hyperspectral equipment performed better in some early stage cases, although this comes with a higher cost.

• The market is moving from damage mapping toward risk prediction. Detecting a dead tree is useful, but it may already be too late to stop the outbreak. New research is looking at which stands are most vulnerable before an attack happens. This requires products to understand forest structure and local beetle activity. Current systems are not yet reliable enough to automate this decision, but risk prioritization could become the more valuable product over time.

How does the funding environment look?

• This is the least funded category in the landscape. None of the three companies has announced a conventional venture round. The available funding mainly comes from small public programmes designed to support product development or market testing.

• Yolanda received a €72,000 grant from the Slovene Enterprise Fund for BugBit. The company also won €10,000 through EUSPA’s myEUspace competition. This funding helped the team move from a hackathon project toward a working platform. It has not yet produced clear evidence of commercial scale.

• BeetleSense received a SEK 10,000 Vinnova travel grant in 2026. The funding paid for participation in the Forest Innovation Summit in California, where the company looked for early adopters. This should be treated as market-development support rather than company financing.

• The lack of venture funding reflects the current maturity of the category. Early detection is technically difficult, while customers still need field confirmation before taking action. Investors may wait for proof that these products can produce reliable alerts and support repeatable sales. A company that demonstrates both could become much more attractive because the underlying problem is becoming more urgent.

Wildfire Detection and Response

What is this category about?

• Wildfire detection products help emergency teams find a fire before it becomes difficult to control. Traditional detection still depends heavily on lookout towers or reports from the public. This works when smoke is visible, but it can delay the response in remote areas.

• Detection alone is not enough. Fire services need the precise location of the ignition so they can decide which units to send. Once the fire starts moving, they also need updated information about its perimeter and direction.

• The difficulty is that no single monitoring method works everywhere. A satellite can cover an entire country, but it may not see a small fire immediately. A camera provides more frequent observation, but only within its line of sight. Sensors placed inside the forest can detect smoke early, but they require dense physical deployment.

• The products in this category try to shorten the complete response loop. They help teams move faster from the first signal to a verified location. More advanced systems also support the intervention itself.

What do products in this category do?

• The main approach is to monitor fires from space. This approach works well when a customer needs coverage across a very large territory. OroraTech operates thermal satellites and combines their data with software that detects hotspots. Its platform also helps customers track how a fire is developing. Greece has gone further by deploying four dedicated OroraTech satellites for a national wildfire monitoring system.

• A second approach is to install fixed detection equipment in high-risk areas. Dryad places gas sensors directly inside forests so the system can identify a fire during the smouldering phase. The sensors communicate through a low power mesh network and send the location to the customer’s cloud platform. FireTracking takes a different approach. It connects cameras installed on towers or other high points to software that looks for smoke and locates the ignition.

• A third model uses aircraft or drones to inspect an alert and follow the fire. The product exists because a fixed sensor can report a location without showing responders what is happening around it. Evolonic is developing a long range drone with onboard fire detection. Albatros uses aerial cameras and AI to find ignitions, then monitors active incidents from above. Dryad is connecting its sensor network with observation drones that can launch after an alert.

• Some companies are also working on the intervention itself. CAURUS is developing sensors and software that help aerial crews evaluate water drops. Its longer term product includes a new dispersion system designed to use water more precisely. Dryad has demonstrated an autonomous process in which its sensors trigger an observation drone before a second drone attempts to extinguish the fire. These systems are still being tested rather than sold at scale.

• The final approach focuses on the command layer. Wildflyer brings weather information and incident data into one web platform. Its FieldKit application allows crews to record observations offline and synchronize them later. The product does not detect a fire by itself. It gives analysts and field teams one shared view of the incident.

What types of customers are using these products?

• National governments are becoming important customers for satellite systems. Greece commissioned OroraTech to provide continuous monitoring across the country. This type of contract gives a government dedicated infrastructure rather than access to a general satellite feed.

• Local authorities and fire departments are the main buyers for camera systems. The French department of Indre-et-Loire contracted FireTracking and its partners to install twelve detection points. Seven sites were operational by November 2025, with the remaining sites planned through a second deployment phase. The system is intended to cover most of the department’s forest areas.

• Forest owners and conservation organizations use ground sensors to protect specific sites. The National Trust installed 50 Dryad sensors at Marsden Moor in the United Kingdom. The pilot combines sensor alerts with local weather information so rangers can assess whether faster detection improves the management of fire risk.

• Infrastructure companies can also help distribute these products. Axione provides connectivity and deployment support for FireTracking in France. This allows FireTracking to reach public authorities through a company that already operates regional communications infrastructure. The channel is useful because installing a detection network requires more than software.

• The smaller companies are still selling through pilots. Evolonic is testing its system with fire brigades rather than reporting commercial orders. Wildflyer shows several European fire services on its website, but public information about contract size remains limited. CAURUS is also working through funded demonstrators and civil-protection partnerships.

What are the major trends shaping this category?

• Europe’s fire season is becoming longer. Serious incidents now occur outside the traditional summer period. The EU recorded more than one million hectares burned in 2025, making it the worst season in the available record. Fires had already affected more than 100,000 hectares by the end of March. And 2026 will probably be a record year.

• Wildfire risk is also spreading beyond the Mediterranean. The 2025 season began with significant activity in the United Kingdom and Ireland. Northern parts of Europe are therefore becoming relevant markets for detection technology, even though their fire services have less experience with large wildfires.

• The market is moving from one detection source toward layered systems. Satellite data provides wide coverage. Cameras offer more frequent local observation. Ground sensors can identify smoke before it becomes visible from a distance. Drones can then verify the alert and show responders what is happening. The companies that connect these layers may become more valuable than vendors selling one isolated signal.

• Governments are beginning to treat wildfire monitoring as permanent infrastructure. Greece’s dedicated satellite system is the clearest example. Local authorities are making similar investments in fixed camera networks. This changes the market from short pilot projects toward systems that must operate continuously and integrate with emergency services.

• Public policy is also moving toward prevention rather than relying only on suppression capacity. The European Commission has called for a more integrated approach covering the period before an incident as well as the response. The EEA warns that adaptation is not keeping pace with the growth of climate risk. This should increase demand for tools that improve readiness before the first fire begins.

How does the funding environment look?

• Funding is heavily concentrated in OroraTech. The company closed a €25 million Series B in October 2024 and extended the round to a total of €37 million in May 2025. Investors are backing more than a wildfire application. OroraTech owns satellite infrastructure and can use the same thermal data for other government monitoring needs.

• Dryad has attracted the second largest pool of private capital. It raised a €10.5 million Series A in 2022. In 2024, it closed €8.9 million in convertible financing after an initial €5.6 million close. The company also received a separate €3.8 million European grant for its drone-response programme. This funding reflects the cost of manufacturing physical sensors and developing autonomous aircraft.

• Public funding plays a major role among companies that have not reached commercial scale. CAURUS received €125,000 from the German Federal Environmental Foundation and another €300,000 for its AeroDrop demonstrator. These grants finance field testing that would be difficult to support through early customer revenue. The company has also completed an undisclosed pre-seed round.

• The funding pattern shows that investors favour companies with proprietary infrastructure. Satellite fleets and sensor networks require more capital, but they also produce data that competitors cannot easily reproduce. Software built on top of existing data can reach the market with less funding, although it may be harder to defend over time.

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Forest Operations and Harvesting

What is this category about?

• Forest operations products improve the work done after a management decision has been made. They focus on the machines and operators that enter the forest to thin or harvest trees.

• Modern forestry machines are productive, but much of the final decision still depends on the operator. During thinning, the driver must choose which trees to remove while controlling a large machine in a dense environment. Poor visibility makes this difficult, while the result affects how the remaining forest develops.

• The industry also faces a shortage of experienced machine operators. Training takes time because forestry machines are complex and the work changes with each stand. Automation can help less experienced operators follow the harvesting plan more consistently. NFA describes this shortage as one of the main reasons forestry needs better driver assistance.

• A separate problem comes from the machines themselves. Heavy ground equipment can compact forest soil and disturb water movement. Recovery can take many years. This creates demand for machinery that reduces the physical footprint of harvesting.

What do products in this category do?

• The first product model adds intelligence to existing forestry machines. This approach is easier to deploy because customers can improve equipment they already own rather than replace the entire machine.

• Nordic Forestry Automation installs a retrofit system on harvesters. It builds a live digital view around the machine and shows the operator whether the thinning work is following the plan. The system can measure individual trees and track the position of the harvester under the canopy. Its first commercial product is a driver-assistance system, while the longer-term plan is to automate parts of the machine’s work.

• The second product model redesigns how trees are removed. AirForestry is developing an electric drone that flies to a selected tree and cuts it using a suspended harvesting tool. The tree is transported through the air, which removes the need for the machine to drive across the forest floor.

• This approach is harder to commercialize because the company must build an entirely new harvesting system. AirForestry has now harvested trees in a real forest and completed an autonomous sequence on a test field. The system still remains in operational validation rather than normal commercial deployment.

• The two approaches represent different levels of automation. NFA helps the existing operator make better decisions today. AirForestry is working toward a system where the operator supervises the operation from outside the machine.

What types of customers are using these products?

• NFA sells to forestry companies that already operate large harvester fleets. Its system is deployed with Sveaskog and Södra. Holmen is another Swedish customer. In North America, NFA works with Weyerhaeuser. The company says its systems have completed more than 20,000 operating hours across seven markets.

• The immediate user is the harvester operator. The customer may be a forest owner, but the product must fit the daily workflow of the contractor or employee driving the machine. NFA developed its first product with operators and continued improving it through permanent field deployments.

• AirForestry is working directly with large forest owners before offering a standard commercial service. Holmen, SCA, Stora Enso and Sveaskog have committed €1.8 million in contracted pilot revenue to test the system in their forests. The companies will help adapt the technology to real operational requirements.

• Sveaskog has also agreed to buy thinning operations from AirForestry under a multi-year partnership beginning in 2028. This gives AirForestry a future customer commitment, although commercial operations still depend on the technology completing its validation phase.

What are the major trends shaping this category?

• Forestry automation is moving from general machine control toward decisions at the level of each tree. Better sensing allows a machine to understand the structure of the stand while the work is happening. Research on precision forestry increasingly connects these tree-level decisions with the future development of autonomous harvesting machines.

• The first step is likely to be driver assistance rather than complete autonomy. Forests are harder to automate than factories because the terrain changes constantly and positioning can be unreliable below the canopy. Retrofitting existing harvesters lets companies introduce automation without waiting for a fully autonomous machine.

• Reducing soil damage is also becoming part of the product case. Heavy machinery can compact forest soils, especially when the same route is used repeatedly. AirForestry takes the most radical approach by removing ground contact, while NFA aims to help existing machines follow operations more precisely.

Timber Trade

What is this category about?

• Timber trade begins before a buyer places an order. Sellers must measure the wood and describe its quality. They also need to prove where it came from. Much of this information has traditionally moved through paper documents or spreadsheets.

• The material itself makes the transaction difficult to standardize. Each timber lot differs in species and dimensions. Buyers therefore need detailed information before they can compare offers or make a bid.

• Regulation is making origin data part of the commercial transaction. The EUDR will apply from December 30, 2026 for large and medium operators. Most micro and small companies have until June 30, 2027. Wood placed on the European market will require evidence that it is legal and deforestation free.

• The companies in this category are not all marketplaces. Some measure timber in the field. Others manage traceability after the wood begins moving. A smaller group controls the trade itself.

What do products in this category do?

• One product model digitizes timber measurement. Syltra AI estimates the volume of a log pile from a photograph. Each measurement can be connected to a location and exported into an EUDR record. The web platform is available today, while its mobile applications remain in early access.

• A second model manages the transaction between seller and buyer. timber worXs lets forest owners upload timber lots and run a digital submission. The platform then handles the commercial process through to delivery release. It charges a fee only when a transaction closes.

• Compliance platforms follow the wood across several companies. Deeplai combines digital records with physical log identification. Prisma Timber focuses more directly on the compliance workflow. It connects origin data with inventory transformations and TRACES submissions.

• Some products extend into transport and operational planning. Nemus connects the original forest location with the delivery process. Its Trucker application records collection points in the field and produces a digital transport document. Nemus is operated by the Cesefor foundation rather than an independent startup.

What types of customers are using these products?

• Public forestry organizations use timber worXs to digitize valuable timber auctions. A March 2026 submission in Rheinland-Pfalz brought together 21 forest offices and 26 bidding companies. About 1,734 cubic metres of timber were offered through the platform.

• Timber manufacturers and professional buyers use platforms that combine sourcing with logistics. Timberhub says it serves more than 150 buyers through a network of over 70 sawmills. It reports delivering more than 300 truckloads per month across 22 countries. These figures are self-reported but show a more developed commercial operation than the rest of the category.

• Deeplai reaches customers through industry partnerships. Forest Growers Research is deploying its log-identification technology in New Zealand. IdeaLignum distributes the TimberID platform in Italy. This partner model helps Deeplai enter markets where local forestry knowledge matters.

• The youngest companies are still using product-led or implementation-led sales. Syltra offers a free plan for smaller timber operations. Prisma Timber sells through demos. Nemus provides implementation support because customers must connect the software to their existing forestry process.

What are the major trends shaping this category?

• EUDR is the clearest market driver. The 2025 revision reduced some of the burden for downstream companies by concentrating the main due diligence filing responsibility on the first operator. It did not remove the need to collect reliable origin information and pass it through the supply chain.

• Compliance is becoming part of the transaction rather than a separate reporting task. Timberhub attaches geolocation data and audit records to each order. timber worXs is adding traceability to its auction process. This makes compliance infrastructure more valuable when it is connected directly to the purchase.

• Marketplaces are expanding into operating systems. Timberhub started with sourcing but now manages transport and compliance. timber worXs follows the same pattern in raw timber auctions. The transaction gives these companies a natural position from which to add workflow software.

• AI is entering through narrow operational tasks rather than general decision support. Syltra uses computer vision to measure piles from photographs. Deeplai uses physical markings and software to identify individual logs. These applications have a clear output that can immediately become part of a commercial record.