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The Top 6 AI-Powered Companies and How They Transform Climate, Nature, and Carbon Solutions

Artificial Intelligence (AI) is becoming a central tool in the fight against climate change. From tracking deforestation to verifying carbon credits and forecasting climate risks, AI is being used to reshape how we understand and respond to environmental problems. This article showcases the top six companies using AI for climate, carbon, and nature-based solutions.

Ranging from nimble startups to publicly traded innovators, these companies are using machine learning, geospatial data, and advanced AI analytics to bring speed, transparency, and accountability to environmental and climate action. Before getting to know each one of them, let’s unravel the reasons why AI is crucial in tackling climate issues.

Why AI Matters in the Fight Against Climate Change

The global climate crisis is a problem of speed, scale, and complexity. Greenhouse gas emissions have to be reduced rapidly, and ecosystems need to be restored effectively. But traditional tools can’t keep up with the pace or size of the problem. This is where AI comes in to help. 

AI technology helps collect and process large amounts of data. It also automates repetitive tasks and provides real-time insights worldwide.

According to a 2023 report by BCG and BCG Gamma, AI has the potential to help reduce 5% to 10% of global greenhouse gas (GHG) emissions by 2030—equivalent to 2.6 to 5.3 gigatons of CO₂e per year.

AI for climate control reduce emissions 2030

This reduction could come from more efficient energy use, smarter agriculture, cleaner transportation systems, and better industrial processes. For example:

  • AI-driven building energy management systems can lower electricity usage by 10% to 20% by adjusting heating, cooling, and lighting based on occupancy and usage patterns.
  • In agriculture, precision farming powered by AI can cut emissions from fertilizer use by up to 20%, while boosting yields and reducing water waste.
  • AI can also improve the accuracy of carbon credit verification and forest monitoring, reducing fraud and ensuring nature-based solutions deliver real climate benefits.
  • Logistics and transportation optimization through AI can reduce fleet emissions by up to 15%, according to McKinsey.

Key Areas Where AI Is Making a Difference:

Carbon Accounting. Companies can use AI to track emissions and, thus, climate actions more accurately. It helps them monitor supply chains, facilities, and transport networks. According to PwC, AI-enhanced carbon accounting can significantly improve emissions tracking accuracy, helping firms meet ESG reporting standards and avoid greenwashing.

Project Verification. AI, satellite imagery, and drone data can verify carbon offset projects, like reforestation. This ensures they provide the promised environmental benefits. For example, AI-powered verification platforms can reduce carbon offset fraud, according to research from Microsoft’s AI for Earth program.

Climate Forecasting. AI models can simulate extreme weather events, droughts, and climate risks decades into the future. A study by the European Centre for Medium-Range Weather Forecasts found that AI-based models like Google’s GraphCast outperform traditional forecasts by up to 90% of tested metrics.

Deforestation Monitoring. Machine learning tools can spot early signs of illegal logging and land degradation across vast landscapes. Global Forest Watch reports that AI-aided systems can detect deforestation in near real-time, reducing response times from weeks to just hours.

AI also supports nature-based solutions by automating tasks like species recognition, soil monitoring, and forest growth modeling. These innovations are essential in building trust and scalability in carbon markets.

In short, AI isn’t just speeding up climate solutions—it’s making them smarter, more credible, and more scalable. And the companies at the forefront of this AI–climate fusion are shaping the next era of environmental action. Let’s take a closer look at six companies leading this AI revolution.

Veritree – Restoring Nature with Digital Precision

Veritree is a Canadian startup that combines AI, geospatial technology, and blockchain to verify ecosystem restoration projects. Their goal is to make reforestation more transparent, measurable, and accountable.

Veritree works in Kenya, Indonesia, and Madagascar. It partners with planting groups and tracks each tree planted on a digital dashboard. They verify project performance through ground data, satellite imagery, and automated analytics.

The company makes sure the forests planted are thriving. They focus on healthy biodiversity and long-term carbon absorption. Here’s how the company’s AI-driven technology works:

Veritree has helped plant over 100 million trees so far. They partner with more than 300 companies, including the outdoor brand tentree. Veritree uses AI to spot growth trends and threats, such as pests or drought. This helps secure long-term ecological success. Here is the company’s impact in numbers:

vertiree impact in numbers

In May 2025, Veritree closed a $6.5 million Series A round, led by Pender Ventures, with participation from Garage Capital, Northside Ventures, and Diagram Ventures. This round coincided with a major milestone (over 100 million trees pledged) and supports their goal of planting 1 billion trees by 2030.

Veritree’s Key Initiatives:

  • The 10 Million Tree Challenge. A corporate reforestation initiative where companies pledge to plant trees to offset emissions.
  • Verified Impact Platform. Uses satellite data, geospatial analytics, and AI to monitor planted forests over time, ensuring survival rates and ecological success.
  • Partnership with tentree. Every product purchased funds tree planting via Veritree, backed by real-time dashboards showing impact metrics.
  • Mangrove Restoration in Kenya & Indonesia. AI tracks coastal resilience benefits, biodiversity, and carbon sequestration metrics.

Treefera – AI Transparency in Supply Chains and Carbon Projects

UK-based Treefera is a fast-growing company that uses satellite imagery and AI to map the “first mile” of agricultural and forestry supply chains. This is the part of the supply chain where environmental and social risks are often highest but least visible.

Treefera’s platform monitors where raw materials come from, such as coffee, palm oil, and cocoa. It makes sure they aren’t tied to deforestation or land degradation. It also helps carbon project developers and buyers check the credibility of land-based offset projects.

With its advanced mapping and verification tools, Treefera supports sustainability compliance and supply chain de-risking. So far, here are the company’s achievements and results in figures:

trefeera results
Source: Treefera

Treefera has had a burst of capital growth. In April 2024, the firm raised $12 million in Series A funding from Albion VC. In June 2025, they secured a $30 million Series B round. Notion Capital led the funding, with help from Albion VC, Endeit Capital, Triple Point, and Twin Path Ventures. This funding is to scale up its services and expand into emerging markets in Africa and Latin America. 

More and more ESG-conscious companies use Treefera’s AI tools for climate or nature-based solutions. They want verified carbon claims and ethical sourcing data. Here are the company’s major initiatives:

  • Carbon Credit Verification for Forest Projects. Provides AI-powered evidence on forest cover changes, biomass, and carbon absorption for voluntary carbon market (VCM) buyers.
  • Partnership with Satelligence and Google Earth Engine. Integrates with Earth data sources to streamline project due diligence for investors.
  • Agrifood Traceability Solutions. Used by global food firms to verify sustainable sourcing from cocoa, palm oil, and coffee farms.
  • Geospatial ESG Monitoring. Detects deforestation and biodiversity loss risks in carbon projects before they happen, reducing greenwashing.

C3.ai – Enterprise-Grade AI for Emissions and Energy

C3.ai is a U.S.-based enterprise software company listed on the NYSE (ticker: AI). Founded in 2009 with a focus on carbon and energy analytics, C3.ai went public via IPO in December 2020. Its founder, Tom Siebel, originally envisioned the firm as a tool to “measure, mitigate, and monetize” corporate carbon footprints. 

Post-IPO, the company has continued growing through strategic AI solutions for sustainability. It offers AI-powered platforms to companies in energy, defense, manufacturing, and finance. These tools focus on sustainability and managing emissions.

For climate-focused users, C3.ai offers carbon accounting and optimization tools that automate the tracking of Scope 1, 2, and 3 emissions. These solutions connect with enterprise systems and supply chain platforms. They give a complete view of emission sources. 

Moreover, the company helps firms see how different decarbonization plans might play out, with predictive modeling. Below are the company’s customers.

C3.ai customers
Source: C3.ai

C3.ai has worked with major organizations such as Shell, Engie, and the U.S. Department of Energy. While it serves a wide range of industries, its software is gaining popularity among large enterprises facing pressure to meet net-zero targets and report ESG data transparently. Know more about the company’s AI technology here.

C3.ai’s Major Projects and Efforts:

  • C3 AI ESG Application. Automates ESG reporting, emissions tracking (Scopes 1–3), and decarbonization recommendations using AI.
  • Partnership with Shell and Baker Hughes. Used to optimize energy infrastructure and reduce methane leaks through predictive AI.
  • C3.ai Energy Management Suite. Helps utilities and oil majors lower carbon intensity while boosting operational efficiency.
  • AI Model Library for Carbon Emissions. Offers prebuilt models that track emissions across supply chains and suggest reduction pathways.

Planet Labs – Satellite Data for Nature and Carbon Intelligence

Planet Labs operates the largest fleet of Earth-imaging satellites and captures daily images of the entire planet. Founded in 2010 and publicly listed on the NYSE (ticker: PL), Planet is transforming how we monitor environmental changes.

Planet Labs has steadily built a robust financial foundation to support its growing fleet of Earth observation satellites. In 2018, Planet secured a $168 million Series D round to scale its hardware and integrate the Terra Bella satellite business, previously acquired from Google. 

By 2021, Planet had closed another $95 million Series C round, pushing its total venture capital raised to over $160 million. These investments boosted progress in AI-powered geospatial intelligence. Their AI tech helps in climate, carbon, and environmental monitoring of various companies.

Planet uses machine learning and geospatial analytics to turn raw images into insights. These insights can spot changes in forest cover, illegal deforestation, and land-use patterns.

In the context of carbon credits and nature-based solutions, this is crucial. The image below shows an example of the company’s output using LiDAR, and they can provide a lot more services for forest carbon and other areas

Planet Labs result

Recently, Planet has focused on Monitoring, Reporting, and Verification (MRV) tools for the carbon market. It can estimate forest height, biomass density, and carbon absorption over time, offering transparency for offset buyers and project developers.

Governments, NGOs, and environmental asset managers already use their platform. As MRV rules for carbon projects get stricter, Planet’s AI-powered satellite tools will be vital.

Notable Initiatives:

  • Planetary Variables Product Suite. Tracks vegetation biomass, soil moisture, and canopy height for MRV in carbon markets.
  • Partnership with NASA, UN FAO & Microsoft. Provides critical deforestation and land-use data for nature-based climate projects.
  • Forest Carbon MRV Pilot with Verra. Helping carbon registries improve the accuracy of credit issuance using remote sensing.
  • Global Forest Watch Contributor. Powers near-real-time forest loss alerts used by NGOs and investors to flag risks to carbon projects.

Sylvera – Carbon Credit Ratings with AI Insight

Sylvera is a London-based climate tech company aiming to bring clarity and accountability to the voluntary carbon market. The company uses AI, satellite data, and its own methods to rate carbon offset projects around the globe.

Buyers of carbon credits often struggle to evaluate the effectiveness of a given project. Sylvera solves this problem by scoring projects on additionality, permanence, co-benefits, and data quality. Its analytics help corporations, investors, and even governments make informed carbon purchasing decisions, as explained in the video. 

By 2025, Sylvera tracks and rates thousands of carbon offset projects. These projects vary in type, including forest protection, soil carbon, and blue carbon initiatives. The company teamed up with big asset managers and financial platforms. They are adding their ratings to climate investment portfolios.

Sylvera has strong support from top investors like Index Ventures and Insight Partners. It also leads the push to standardize how carbon credits are assessed. 

In January 2022, the company secured $32.6 million in Series A funding, co-led by Index Ventures and Insight Partners. The round raised its total funding to about $39.5 million. This money will help grow its AI-driven carbon credit ratings and tools that boost credibility.

Sylvera’s Key Projects and Initiatives:

  • Carbon Credit Ratings Platform. Used by major buyers like Salesforce, Bain, and Delta Airlines to assess credit integrity before purchase.
  • Data Partnership with MSCI. Integrates Sylvera’s ratings into ESG investing platforms to align with sustainable finance standards.
  • AI-Driven “Quality Score” for Offsets. Evaluates permanence, leakage, additionality, and co-benefits of forest and tech-based projects.
  • Improving VCM Integrity Initiative. Actively involved in global standards discussions (ICVCM, VCMI) to build trust in offsets.

SEE MORE: Sylvera and BlueLayer Launch World’s First Live Carbon Data to Unlock $2B Investment

Pachama – Machine Learning for Forest Carbon Verification

Founded in California, Pachama uses satellite imagery, LiDAR, and machine learning to verify carbon capture in forest-based projects. They aim to improve the quality of nature-based carbon credits. This is especially true for reforestation and forest conservation.

Pachama closed its Series B in May 2022, raising $55 million to bring total funding to around $79 million. In December 2023, the company added $9 million to its Series B funding. This raised the total growth-stage funding to around $88 million. Key investors included Lowercarbon Capital, Breakthrough Energy Ventures, Amazon’s Climate Pledge Fund, and T.Capital. 

Pachama monitors forest projects continuously. This helps companies see their carbon credit impact over time. Their AI models can spot forest degradation, tree death, and land-use changes quicker than old field audits.

The company works with top reforestation developers. They provide a marketplace for companies to buy verified, high-quality carbon credits. They aim to make all forest projects auditable, transparent, and trustworthy. These traits are essential for companies that want to invest in offsets to meet their net-zero goals.

With a strong reputation for data transparency and environmental integrity, Pachama is a key player in the next generation of digital carbon platforms. The company’s major initiatives include:

  • Verified Forest Carbon Marketplace. Features vetted carbon credits from high-integrity forest projects with transparent scoring.
  • Pachama Monitoring Platform. Uses AI to track canopy cover, deforestation, and biomass over time to validate carbon sequestration claims.
  • Partnership with Shopify, Microsoft, and Flexport. Trusted provider of forest carbon offsets for top-tier climate-conscious companies.
  • Pachama Originals. Launching its own AI-verified reforestation projects with rigorous environmental and community co-benefits. 

Smart Technology for a Smarter Climate Response

AI is emerging as a crucial ally in climate action. These tools are closing the gap between climate goals and real results. They help monitor forests, track emissions, verify carbon credits, and forecast climate risks.

The six companies featured here—Veritree, Treefera, C3.ai, Planet Labs, Sylvera, and Pachama—are proving that technology can accelerate and enhance nature-based and carbon-driven solutions. They show that with the right data and intelligent tools, we can restore ecosystems, build trust in carbon markets, and support a sustainable future.

As climate challenges grow more complex, expect AI companies to play an even bigger role in creating a planet that’s not only livable but thriving.

The post The Top 6 AI-Powered Companies and How They Transform Climate, Nature, and Carbon Solutions appeared first on Carbon Credits.

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Climate-Linked Supply Chain Risk Is Already in Your P&L

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The earnings calls that quietly reframed climate from sustainability question to operating risk.

Three earnings calls in the last 18 months tell the story without any help from a press release.

Hershey, May 2024: cocoa price exposure compresses margin, and the company attributes part of the cost shock to West African weather. Olam, July 2024: coffee climate exposure quantified in the annual report. JBS, January 2025: supply chain climate disclosures expanded materially in response to investor pressure and regulatory expectation. None of these companies issued the announcement as climate news. They issued it as financial news. The climate-linked supply chain risk did not arrive with a sustainability framing; it arrived as a P&L line.

You are probably reading this article because you suspect the same thing is happening to your business. This piece walks through what is showing up on which earnings calls, how procurement and finance leaders are quantifying the exposure, and what serious corporates are doing about it before the regulator asks.

Where climate risk has already appeared in earnings

The pattern is consistent across resource-intensive sectors. A weather event compresses supply, the price spikes, the cost flows through the income statement, and the analyst on the call asks whether the event is anomalous or structural. Increasingly, the honest answer is the second one.

Cocoa is the cleanest example. The 2023 to 2024 West African harvest fell sharply on the back of erratic rainfall and disease. Cocoa futures more than tripled. Companies with concentrated West African sourcing absorbed the cost; companies with diversified sourcing absorbed less. The exposure was not climate as ESG topic. It was climate as cost of goods.

Coffee follows the same pattern. Brazilian and Vietnamese harvests have moved on weather more sharply across the last several seasons. Roasters with long-tenor supplier relationships and origin diversification have managed the volatility; roasters with spot-market exposure have not. Wheat, sugar, palm oil, beef: the same dynamic in different commodities, a pattern the IPCC AR6 Working Group II report projects will intensify across agricultural systems through mid-century.

What this means: climate risk is no longer a footnote in the 10-K. It is a line item the CFO has to explain on the call.

The three commodity exposures that hit margin first

For most companies with material Scope 3 exposure, three exposures dominate the near-term P&L risk.

  • Concentrated single-origin sourcing in a climate-vulnerable region. If your tier-one supply for any material commodity sits in one geography, you have a concentration risk that climate amplifies. Diversification across origins is the obvious hedge, but it takes years to build and requires relationships you cannot acquire by tender.
  • Supplier financial fragility under climate stress. Smallholder farmers, who supply a large share of the global cocoa, coffee, and palm oil market, do not carry the balance sheets to absorb yield shocks. When yields collapse, they exit. When they exit, your supply base shrinks, and the surviving suppliers raise prices. The risk is structural, not cyclical.
  • Logistics and storage exposure to extreme weather. Hurricane disruptions to Gulf shipping, drought-driven Panama Canal restrictions, flooding in European inland waterways: each of these has moved input costs in the last three years, a pattern documented in Munich Re’s natural catastrophe data. The exposure shows up as a one-quarter event in the financial press but accumulates over time on the cost line.

TCFD and ISSB disclosure changes

The disclosure architecture has now caught up with the risk. The Task Force on Climate-related Financial Disclosures, whose recommendations are now embedded in the ISSB’s IFRS S2 climate standard, requires companies to disclose climate-related risks across physical and transition categories, with quantification where possible.

For physical risk specifically (the climate-linked supply chain risk you are reading about), the disclosure must address both acute exposures (extreme weather events) and chronic exposures (gradual changes in temperature, precipitation, and growing seasons). The disclosure must address the time horizon over which the risk is material, the parts of the value chain exposed, and the financial impact under different scenarios.

The CSRD imposes similar requirements under European law, with double materiality (both financial and impact materiality) embedded in the assessment. The practical effect: your auditors and your investor relations team now need a defensible answer to the climate-linked supply chain risk question, and the answer needs to be quantified.

What procurement and finance can do now

Three actions matter near-term.

Map your exposure. Most companies do not have a clear view of which tier-one and tier-two suppliers sit in which climate-vulnerable geographies. Without the map, you cannot quantify the risk, and without the quantification, you cannot disclose it credibly. The map is the foundation, and World Resources Institute climate risk research provides useful public tooling to start.

Diversify and deepen, in that order. Diversification across origins reduces concentration risk, but the deeper move is to invest in the resilience of the suppliers you already have. Regenerative practices, agroforestry, soil health interventions: these reduce yield volatility under climate stress and protect your input cost trajectory.

Embed the climate spend inside procurement, not outside it. Treating climate risk as a sustainability cost line subordinates it to the ESG budget. Treating it as a procurement and resilience investment puts it in the budget that matters, which is the cost-of-goods budget that the CFO defends quarterly.

Nature-based supply chain investments are the asset class designed for exactly this purpose. They sit inside the value chain, they reduce climate-linked supply risk, they generate verifiable Scope 3 reductions, and they produce the documentation an auditor and a regulator can both test.

If you are quantifying climate-linked supply chain risk in advance of the next earnings cycle or the next disclosure period, the carbon and sustainability experts at Carbon Credit Capital can help you map your exposure and structure a Dual-Value Model response that addresses reduction, resilience, and disclosure-readiness in a single program. Schedule a consultation.

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Where should an SME start with a carbon action plan?

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More and more small and medium-sized businesses are hearing the same question from their larger customers: What is your carbon footprint? That question now travels down entire supply chains, and it arrives next to tender requirements, certification criteria, and rising customer expectations.

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