The phrase “digital business” gets tossed around a lot these days. It’s often used to describe companies with sleek apps, AI-infused dashboards, or some “game-changing” gadget. But if we’ve learned anything in the past decade, it’s that technology alone isn’t enough to sustain success.
Lots of opinions, with fancy slide decks and pithy bullet points that, in the end, don’t really say much of anything. Too often they are skewed along a single critical dimension (information that connects you with your customers … data that transforms your products and markets … analytics that let you see the future …) but no concrete plans. Usually, “digital strategy” comes across as a sales demo for some cloud or SaaS offering, an introduction to a major $$ consulting engagement, or maybe a pitch for organizational change as the Marketing group tries to take over IT (or, the IT team makes a play to bring in Marketing).
Or maybe Engineering wants to take control of it all. Hmm, wouldn’t that be interesting …
Framework: The Five Components
A great digital business doesn’t just adopt technology—it integrates it into the DNA of how the company operates, creates value, and connects with people. To get there, you need a framework—a way to think about all the moving pieces that make up your business, how they fit together, and how technology can help them work better.
That’s where the Five Core Components come in: Customers, Products, Operations, Data, and People. This framework isn’t a checklist or a rigid set of rules. It’s a way to focus your efforts on the areas that matter most and build a strategy that evolves with your business.
The magic of this framework is its adaptability. It has helped industries as diverse as logistics, healthcare, and forestry innovate and thrive. Yup, I said it … forestry. If you’re wondering what drones, IoT sensors, and carbon credits have to do with trees, lets look at some examples, and explore how framing our thinking in this way can drive innovation in ForestTech and beyond.
Customers: Innovating Experiences That Create Value
In a digital world, serving customers is about more than offering products and service. It’s about understanding their needs, anticipating their expectations, and building experiences that keep them coming back. From call centers and outbound marketing efforts, to websites and e-commerce tools that bring products directly to the customer (and return detailed feedback), to CRM systems that help us track and analyze complex market relationships – data-enabled connections can tie us tightly with our customers, and help us grow. But have we connected with our internal systems, to eliminate transactions and speed the value? And can we move beyond transactions, to develop tighter relationships with customers – maybe bringing them into product development or strategic planning?
In forestry, this isn’t just about timber buyers looking for sustainably sourced wood. The “customers” in this space are more diverse than you might think:
Landowners need tools to monitor and manage their forests remotely, especially when they’re balancing profitability with sustainability.
Investors are looking for data-backed insights into forest health, carbon capture, and long-term yield potential. Carbon credit systems are creating entirely new market opportunities.
Conservationists and NGOs want transparency—proof that forests are being managed responsibly and biodiversity is being protected.
A digital business in forestry might use AI-powered platforms to help landowners predict the best times to harvest or deploy blockchain for timber traceability, reassuring buyers and regulators alike. Innovating around customer experiences creates trust, strengthens relationships, and differentiates your business from competitors. For all types of customers, the key is to listen to their voice and solve problems that matter.
Products: Embedding Innovation into Core Offerings
Here’s where things get interesting. Products in a digital business aren’t just physical objects or static offerings – they are dynamic platforms for delivering value. This doesn’t mean you need to turn your product into the next iPhone, but it does mean rethinking how your product interacts with and incorporates technology. Information about our products, operating in the field, is becoming easier to gather – and is quickly becoming an assumption, table-stakes expectations from our customers and markets. Can we generate new forms of revenue, and deliver differentiating features in our products and services?
Forestry is full of opportunities to embed technology into products:
Smart Forest Management Systems: Think IoT-enabled sensors that monitor soil moisture, growth rates, and pest activity, sending real-time data straight to a landowner’s phone.
Carbon Credit Platforms: Tools that help landowners quantify their forest’s carbon capture potential open up new revenue streams while driving sustainability.
Remote Sensing Services: Drones, lidar, and satellite imagery turn a vast forest into a detailed digital map, providing insights that would have taken months to gather on foot.
Innovating your products doesn’t just create differentiation—it unlocks entirely new ways to engage with your market.
Operations: Driving Efficiency and Agility Through Innovation
If customers and products are what you see on the surface, operations are the engine under the hood. They’re the processes, systems, and workflows that make everything run smoothly (or not). Digital businesses take operations seriously—not just to cut costs, but to make their entire organization more agile and scalable.
Do your teams really understand the systems and processes that automate internal transactions – the details of running your business every day – and use them to their full potential? This covers an amazing range of systems, from the daily and mundane (email, calendaring, basic communications), to accounting systems that tick and tie your order-to-cash, purchase-to-pay, and make-to-ship processes (ERP). Most of us have reasonably mature systems in place for all of this – but our “revolution” here will focus on deeper training, richer data, and integrations with other systems.
Forestry operations are ripe for digital transformation:
Predictive Harvesting Models: Algorithms can optimize when and where to harvest, reducing waste and increasing yields.
Supply Chain Transparency: Timber supply chains are complex. Blockchain can help verify sourcing, ensuring compliance and ethical practices.
Fire Management Tools: Using predictive analytics to mitigate wildfire risks creates operational resilience and protects valuable resources. Fire management tools illustrate this perfectly.
Great operations aren’t just efficient—they’re adaptable. When the unexpected happens, innovation in operations can keep you ahead of the curve.
Data: Transforming Information into Innovation
Access is only half the battle; to really get the benefit, decision-makers and influencers will need to truly understand how to work with the data, asking it questions and working out the answers. And this won’t work if you’re going to be like every other organization, relying on a core set of data geeks and report writers for the analytics. High-performing individuals and teams must be able to access and manipulate information quickly and effectively. This has less to do with fancy visualization tools, and much more to do with skills training and intellectual curiosity. People need to take ownership of their data, in every sense of the word.
In forestry, the potential for data is exciting:
Forest Health Monitoring: IoT sensors, drones, and satellite imagery create a constant stream of information about tree growth, pest infestations, and fire risks.
Carbon Sequestration Analytics: Landowners and investors need accurate, real-time data to participate in carbon credit markets.
Inventory Management: Tracking timber resources—by species, age, and location—helps forest managers make smarter decisions about harvest planning and replanting.
Turning raw data into actionable insights requires innovation in how data is captured, processed, and used.
People: Empowering Innovators for the Digital Age
It may seem counterintuitive at first, but a deeply digital world relies on people – individuals with advanced skills and learning agility, working in distributed teams across multiple locations, collaborating and sharing in an effective and fluid manner. This is much tougher than it sounds, believe me – many societal factors must be overcome. But when you crack this code and bring highly engaged teams together – your buzzword targets (Innovation! Engagement! Productivity! Growth!) will sound less like wishful thinking, more like success metrics.
In forestry, this means bridging the gap between traditional expertise and modern technology:
Training Programs: Forestry teams need to be comfortable with drones, remote sensing tools, and data analytics platforms. These aren’t just tech add-ons—they’re becoming essential skills.
Cross-Disciplinary Collaboration: Bringing foresters, data scientists, and engineers together can spark innovation, whether it’s developing a new product or solving an operational challenge.
Leadership in a Digital Age: The best leaders create a culture that embraces experimentation, continuous learning, and adaptation.
Empowered people are the driving force behind innovation, ensuring your business can adapt, experiment, and thrive.
Call to Action
Your Digital Strategy statement <a href=”https://www.makerturtle.com/the-internet-of-things-and-applied-digital-strategy/”>has to explain</a> what you’re trying to achieve, where you will play, and how you will win. But if you’re trying to really transform your company, a Great Digital Business will nail each of these five components:
Who you serve
What you deliver
How you work
Using data to your advantage
The people that make it happen
Looking for more insights? Join our mailing list for updates or share your thoughts in the comments below.
When my corporate career was drawing to a close, sustainability and carbon credits were just coming in to the conversation. For a long time, I thought carbon credits were one of those ideas that sound great on paper. In practice, though, they still face any array of challenges. Enter Greenomix, a company that’s tackling these challenges head-on with a unique mix of financial assurance and technology.
In my work at Talking Tree Ventures, I’ve become deeply invested in supporting innovators in areas like Forest Economics, Reforestation, and Fire Management. I am having a great time finding innovative companies that support those areas. For example, Greenomix offers support investments in reforestation and conservation by addressing the risk management issues plaguing carbon credit markets.
Recently, I had the privilege of sitting down with Cary Shepherd, the company’s CEO, to learn more about their work.
The Greenomix Mission: Making Carbon Credits Work
When I asked Cary to distill his company’s mission into a few sentences, his response was both candid and compelling. “We make sure carbon credits work,” he said simply. “By pairing them with a financial product that funds the replacement of any problems over their lifespan, we take the risk out of the equation.”
This “risk,” as Cary explained, ranges from natural disasters like fires to unpredictable regulatory changes. Here’s a list of examples … how interesting …
Environmental Risks – Wildfires, which destroy large portions of forest, releasing sequestered carbon back into the atmosphere and invalidating the associated carbon credits.
Scientific Updates – Updates to methodologies for calculating carbon sequestration could retroactively adjust the amount of carbon credited to a forest project, reducing its perceived value.
Legal and Regulatory Risks – A government could revoke recognition of voluntary carbon credits in favor of mandatory compliance credits.
Market Risks – Decreased demand for voluntary carbon credits (due to corporate policy changes or public sentiment) could reduce the market value of credits tied to the forest.
Competing Projects – The emergence of alternative carbon removal methods, like direct air capture or ocean-based sequestration, could devalue forest-based carbon credits.
Operational Risks – Carbon credit projects often require ongoing monitoring and reporting. Failing to meet these requirements can result in penalties or invalidation of credits.
Social and Political Risks – Changes in leadership or organizational priorities could deprioritize maintaining the forest, leading to its degradation.
Reversal Risks – If the land is repurposed (e.g., cleared for agriculture or development), the associated carbon credits might become invalid.
There are plenty more, this is just a sample list. And a ton of things that I just wouldn’t know to anticipate; Greenomix’s solution is as much about foresight as it is about fixing issues when they arise.
A Personal Journey Toward Impact
Cary’s career path is pretty cool. Starting as a climate finance attorney, he honed his expertise negotiating complex clean energy programs and legislation. His transition to the private sector deepened his understanding of environmental markets – and revealed a gaping hole in the system.
“I’ve seen amazing carbon projects in low-income communities transform local economies,” Cary shared. “But too often, large corporations hesitate to invest due to uninsurable risks.”
That realization became the seed for Greenomix. With his co-founder, Cary developed a model that treats carbon credits less like risky investments and more like diversified financial portfolios.
Greenomix Carbon Assurance: The Game-Changer
At the heart of Greenomix’s approach is the Greenomix Carbon Assurance product. Cary described it as a blend of three key services:
Permanence Assurance: Financial mechanisms that guarantee the longevity of carbon credits.
Carbon Monitoring: An AI-driven system that keeps tabs on project performance and emerging risks.
Carbon Management: Proactive interventions to correct underperformance in carbon credit portfolios.
It’s this trifecta of innovation, technology, and finance that allows Greenomix to offer what Cary calls “climate wealth management.”
The Role of Technology
No conversation about innovation would be complete without a discussion of technology. Greenomix has built its own AI tools to assess and manage carbon projects dynamically.
“Our AI system conducts real-time diligence that would be cost-prohibitive with human labor alone,” Cary said. “It gives us the ability to identify risks and adjust strategies long before problems escalate.”
This proactive approach isn’t just about avoiding pitfalls—it’s about building trust in a market that desperately needs it.
Connecting Carbon Credits to Forest Restoration and Conservation
One of the most exciting aspects of Greenomix’s work is its potential to amplify efforts in Forest Restoration and Conservation. By making carbon credits more reliable, Greenomix encourages investment in projects that not only restore forests but also conserve existing ones, such as those under REDD+ programs, safeguarding biodiversity and preventing deforestation. “Forests are irreplaceable,” Cary said. “Every step we take to ensure the success of reforestation and conservation projects contributes to climate resilience on a global scale.”
What’s Next for Greenomix?
The company is at an exciting juncture, working to close its first revenue-generating deals. Cary is clear about the stakes: every customer they sign on is proof of concept for their innovative model. “These early wins are crucial,” he said. “They’ll help us refine our approach and build momentum for future growth.”
Lessons for Entrepreneurs
As I am writing up these notes, I am thinking about the broader lessons Cary’s journey offers to entrepreneurs. His story underscores the importance of spotting systemic issues and addressing them with creativity and pragmatism. He’s not just solving a technical problem – he’s creating a system that could redefine how we think about sustainability.
Cary and the Greenomix team are building something pretty cool – a solution that aligns perfectly with Talking Tree Ventures’ mission to make a meaningful impact through innovation.
What do you think about Greenomix’s approach to carbon credits? Have questions or insights to share? Let’s keep the conversation going in the comments below.
And if you’d like to stay updated on stories like this, don’t forget to join our mailing list at Talking Tree Ventures.
Wildfires are a natural part of forest ecosystems, but in recent decades, their frequency and severity have increased alarmingly. As our climate warms, fire seasons grow longer and more destructive, challenging traditional methods of prevention and response. This is where Artificial Intelligence (AI) comes in—a game-changer in fire management.
At Talking Tree Ventures, we believe innovation and technology are critical to addressing such complex challenges. With the same transformative potential AI has shown in Forest Restoration, its application in fire management is equally compelling and essential. Let’s dive into how AI is reshaping this field.
Wildfire Prediction: Anticipating Risks
Wildfires often seem unpredictable, but AI is changing that narrative by analyzing vast amounts of environmental data to predict when and where fires might occur. By integrating factors like weather patterns, vegetation health, and historical fire data, AI models generate accurate risk forecasts.
AI Impact: AI-powered systems can identify fire-prone regions weeks in advance, enabling authorities to take preventive measures such as clearing dry brush or pre-positioning firefighting resources.
In the Wild: Companies like Descartes Labs use AI to analyze satellite imagery, offering near real-time fire risk assessments for governments and land managers.
Fire Detection: Acting Quickly
The faster a fire is detected, the easier it is to contain. Traditional detection relies on human observation, which is slow and prone to error. AI, however, leverages tools like satellite imaging and drones equipped with thermal cameras to detect wildfires as they ignite.
AI Impact: Early detection allows firefighting teams to respond quickly, often containing fires before they grow uncontrollable. This not only saves lives but also reduces the economic and ecological costs of large-scale fires.
In the Wild: California-based startup Chooch AI uses machine learning to analyze video feeds from fire lookout towers, identifying smoke or flame patterns faster than human operators can.
Resource Allocation: Smarter Firefighting
Deploying firefighting resources effectively is one of the most complex aspects of wildfire management. AI optimizes this by predicting fire behavior and recommending where resources should be concentrated for maximum impact.
AI Impact: Algorithms can analyze terrain, weather, and fuel loads to predict how a fire will spread. This information helps firefighting teams deploy their resources more strategically, saving valuable time and effort.
In the Wild: The National Interagency Fire Center (NIFC) collaborates with tech companies to integrate AI-driven fire modeling tools into their resource planning, enhancing the efficiency of firefighting operations.
Post-Fire Recovery: Building Resilience
After a wildfire, the work isn’t over. Recovery efforts often include assessing damage, reforesting burned areas, and restoring ecosystems. AI excels here too, offering detailed analyses of burn severity and assisting in planning restoration efforts.
AI Impact: By mapping post-fire landscapes and analyzing soil conditions, AI helps identify areas requiring immediate intervention, ensuring faster recovery and stronger ecological resilience.
In the Wild: Platforms like NASA’s FIRMS use AI to monitor post-fire recovery, delivering valuable data to ecologists and land managers for strategic reforestation efforts.
Community Engagement: Empowering Local Action
Fire management isn’t just about technology—it’s about people. AI tools are increasingly being used to engage and educate communities, providing real-time updates on fire conditions and evacuation plans.
AI Impact: Interactive apps powered by AI give residents the information they need to make safe decisions during fire emergencies. These tools also foster collaboration between community members and local authorities.
In the Wild: The app RedZone uses AI to provide personalized fire alerts and safety recommendations based on a user’s location, empowering individuals to take proactive measures.
Key Takeaways
AI enhances wildfire prediction and detection, enabling earlier and more effective responses.
Smarter resource allocation and post-fire recovery strategies reduce economic and ecological costs.
AI-driven community tools build resilience and empower informed decision-making.
The integration of AI in fire management isn’t just a technological innovation—it’s a necessary evolution in how we safeguard our forests and communities. For startups and investors, the opportunities in this space are vast and impactful. Talking Tree Ventures is proud to support the visionaries working at the intersection of technology and forestry.
In the evolving landscape of forestry, artificial intelligence (AI) emerges as a transformative force, reshaping forest economics and presenting unprecedented opportunities for startups and investors. At Talking Tree Ventures, we are committed to supporting innovators who harness technology to drive sustainable and economically viable forestry practices.
AI-Powered Forest Inventory: Precision and Efficiency
Traditional forest inventories, often labor-intensive and time-consuming, are undergoing a significant transformation through AI integration. By analyzing satellite imagery and employing machine learning algorithms, AI enables precise assessments of forest resources, including tree species identification, density measurements, and health evaluations. This technological advancement not only reduces operational costs but also enhances the accuracy of data, facilitating informed decision-making for forest management.
AI Impact: AI-driven forest inventory tools can identify tree species and assess forest density and health, all while reducing costs by automating data collection and analysis. This precision enables foresters and investors to maximize resource value while planning more effective management interventions.
In the Wild: The World Resources Institute has employed AI in the Global Forest Watch project, which uses satellite data and machine learning to monitor forests worldwide. This tool has improved transparency in forest resource management, enabling stakeholders to make informed decisions. More on this here.
Optimizing Timber Harvesting: Balancing Profit and Sustainability
AI applications in timber harvesting are revolutionizing the balance between economic gain and environmental stewardship. Through predictive analytics, AI models can forecast optimal harvesting times and methods, considering factors such as tree growth rates, market demand, and ecological impact. This approach ensures that timber extraction is both profitable and sustainable, aligning with the principles of sustainable forestry.
AI Impact: Predictive analytics can optimize harvesting schedules to boost profitability and maintain ecological balance, enabling sustainable operations. Forecast models help companies reduce waste and plan operations that minimize habitat disruption.
In the Wild: In Finland, UPM Forest has implemented AI to determine optimal harvesting methods and schedules, balancing yield with ecosystem preservation. This application shows how AI can align commercial and conservation goals. Learn more about UPM’s work here.
Market Analysis and Forecasting: Navigating Economic Trends
Understanding market dynamics is essential for stakeholders in the forestry sector. AI enhances this understanding by analyzing complex datasets to identify trends, predict price fluctuations, and assess demand for various forest products. Such insights enable startups and investors to make strategic decisions, optimize supply chains, and mitigate financial risks.
AI Impact: AI analyzes historical data alongside current indicators to forecast trends and fluctuations, helping companies better match supply with demand and improve pricing strategies.
In the Wild: Canadian forestry giant Canfor is using AI-driven tools to analyze market data, enabling faster responses to demand shifts. This agility helps manage risks and maintain profitability in volatile markets. Read more about Canfor’s strategies here.
Forests play a pivotal role in carbon sequestration, offering opportunities for monetization through carbon credits. AI facilitates accurate measurement and monitoring of carbon storage, essential for participating in carbon markets. By analyzing satellite data and employing machine learning models, AI provides precise estimates of carbon sequestration levels, enabling forest owners to generate reliable carbon credits and contribute to climate change mitigation.
AI Impact: By accurately quantifying carbon stocks, AI enables forest managers to generate and verify carbon credits, opening revenue streams for landowners and supporting climate objectives.
In the Wild: Pachama uses AI and satellite data to verify carbon credits in reforestation and forest preservation projects, increasing transparency and accountability. Learn more about Pachama’s methodology here.
Risk Assessment and Management: Safeguarding Investments
Investing in forestry involves inherent risks, including susceptibility to pests, diseases, and wildfires. AI mitigates these risks by providing predictive analytics and early warning systems. For instance, AI models can analyze environmental data to forecast wildfire risks, enabling proactive measures to protect forest assets. Similarly, AI can detect early signs of pest infestations or disease outbreaks, allowing for timely interventions and minimizing potential losses.
AI Impact: Early warning systems driven by AI improve risk assessments by detecting wildfire, pest, and disease threats before they escalate, protecting both forests and investments.
In the Wild: SilvaGuard has developed an AI platform that provides real-time fire and pest alerts based on environmental data. This tool is in use across the U.S., demonstrating AI’s role in risk management. More on SilvaGuard’s approach here.
In conclusion, the integration of AI into forest economics offers transformative potential for startups and investors. By enhancing precision, optimizing operations, providing market insights, facilitating carbon credit valuation, and improving risk management, AI paves the way for a sustainable and profitable future in forestry. At Talking Tree Ventures, we are dedicated to supporting innovators who leverage technology to advance forest economics, contributing to global environmental sustainability and economic prosperity.
We invite you to join our mission to revolutionize forest economics through innovation. Share your thoughts in the comments, subscribe to our mailing list, and stay tuned for more updates on how technology is transforming the forestry sector
As I learn more about technology advances in the forestry sector, I see many familiar ideas and some fascinating new stuff. Artificial Intelligence (AI) is reshaping industries everywhere, and Forest Restoration is no exception. The imperative for forestry leaders—whether in executive roles, product engineering, or strategy—is clear: AI can enhance operational efficiency, optimize restoration efforts, and drive sustainable outcomes.
But this isn’t just about deploying AI. It’s about using technology to transform a historically slow and labor-intensive process into one that is precise, scalable, and economically viable. Check out some of these ideas and examples of how AI is set to revolutionize our reforestation efforts.
AI-Powered Reforestation: Speed and Precision – In traditional reforestation, workers plant trees one by one, often in rugged, inaccessible terrain. This makes scaling up operations difficult and time-consuming. Now, AI-powered drones can accelerate the process, making it possible to cover vast areas more quickly and accurately.
AI’s Impact:
AI-driven drones can plant seeds six times faster than humans, vastly improving reforestation efficiency.
Algorithms analyze soil quality, terrain, and climate data to ensure that seeds are planted where they are most likely to thrive.
AI can monitor seedling health in real-time, offering data-driven insights for timely interventions when growth stalls or environmental conditions threaten success.
Enhancing Biodiversity: Data-Driven Ecosystem Restoration – Restoring forests isn’t just about planting trees. It’s about rebuilding ecosystems that support a variety of plant and animal species. AI plays a key role in ensuring that the right species are planted in the right places, supporting biodiversity from the ground up.
AI’s Impact: AI analyzes large environmental and species-specific data datasets, helping restoration teams select the best mix of native plants and animals for each site.
Machine learning tracks the broader ecosystem’s response to new plantings, allowing restoration strategies to be adjusted as needed.
AI helps prioritize key areas for restoration—such as wildlife corridors or carbon sinks—where interventions can have the biggest ecological impact.
Predictive Climate Analytics: Building Resilience – One of the major challenges in forest restoration is the unpredictability of climate change. How do you ensure that newly planted forests will thrive in a future defined by erratic weather patterns? AI offers predictive power by analyzing environmental data to forecast how forests respond to changing conditions, such as increasing temperatures or shifting rainfall.
AI’s Impact
AI-driven models can predict which species will fare better under different climate scenarios, allowing restoration teams to make proactive decisions.
Restoration efforts can be adjusted based on these insights, ensuring that the species selected for planting are climate-resilient.
Ongoing simulations allow for adaptive management so forest restoration can evolve in response to real-time environmental data.
AI and Carbon Credit Valuation: Monetizing Ecosystem Services – Forest restoration offers more than environmental benefits. It also presents financial opportunities through carbon credits earned by sequestering carbon in newly planted forests. However, calculating carbon sequestration accurately can be a challenge—this is where AI comes into play.
AI’s Impact
AI simplifies carbon credit valuation by analyzing satellite data, ground sensors, and aerial imagery for precise carbon storage measurements.
Machine learning algorithms track carbon sequestration over time, allowing forest owners to generate reliable carbon credits.
AI also optimizes restoration efforts to maximize carbon capture, offering dual ecological and financial returns.
Post-Restoration Monitoring: Ensuring Long-Term Success – Restoring a forest is the first step in a long process. For the restoration to be successful, continuous monitoring is essential. Traditional methods of monitoring, though, can be costly and ineffective. AI-powered platforms make this far more efficient by providing real-time data on tree health, pest infestations, and water availability.
AI’s Impact
AI offers real-time monitoring solutions that detect early signs of distress in newly planted trees, ensuring prompt action before problems escalate.
Remote sensing and AI-driven data collection can track subtle changes in forest health, including disease or drought stress, improving the long-term success of restoration efforts.
Continuous AI monitoring ensures that financial and ecological investments in forest restoration yield sustainable outcomes.
The Strategic Imperative: Why AI is Essential for Sustainable Forest Management
Data drives the future of forestry. AI is no longer a speculative tool—it is an operational necessity. Forestry leaders and entrepreneurs must adopt these technologies quickly enough to keep pace with growing environmental challenges and societal demands for sustainability.
At Talking Tree Ventures, we’re excited to support innovators taking on the challenge of restoring our planet’s forests. Join our mailing list to stay updated on new developments, share your thoughts in the comments, and explore more ways you can contribute to the future of sustainable forest management.
