Investors are closely watching for companies that help track and manage climate data as the world focuses more on sustainability. One of the major names with potential in this space is BigBear.ai (NYSE:BBAI). 

BigBear.ai is not just a software company. It plays a behind-the-scenes role in supporting governments, firms, and ESG managers by making data easier to understand, analyze, and act on. The company has also set its own climate goals, including a net-zero target by 2030.

The company’s financials are impressive. Revenue grew to $43.8 million in Q4 2024, up 8% year-over-year. It ended the quarter with a $437 million backlog, more than double the $168 million seen in Q3 2023. Its net debt-to-cash ratio improved from 4.0x to 1.2x by the end of 2024. Cash reserves totaled $107.6 million as of Q1 2025.

Let’s take a closer look at how BigBear.ai can help support the ESG and climate analytics space, and why it may interest investors focused on sustainability and AI.

Helping Organizations Make Sense of ESG Data

ESG data is one of the fastest-growing areas in finance and corporate reporting. But many organizations struggle to collect, process, and make decisions from this data because it comes from so many sources—satellite imagery, IoT sensors, supply chains, and internal reports.

BigBear.ai can help solve this problem. Its AI tools are designed to handle large and complex datasets. For example, a company trying to measure its carbon footprint across global supply chains can use BigBear.ai’s platform to track emissions in real time. It brings together structured and unstructured data—like spreadsheets, reports, and live feeds—and turns it into useful insights.

The company’s software detects patterns and highlights risks, helping ESG teams identify where emissions are high or where human rights concerns might be emerging. By turning raw data into visual dashboards and clear reports, BigBear.ai supports better decision-making in both the private and public sectors.

• RELEVANT: ESG Definition & Basics – Why ESG Gives “Double Dividends”

Supporting Climate and Environmental Data Analysis 

BigBear.ai’s tools help agencies and organizations manage large datasets to improve operational efficiency and decision intelligence. While not specifically focused on climate modeling, its AI tools have the potential to enhance analysis of complex environmental datasets and improve understanding of various operational scenarios.

BigBear.ai’s technology is being deployed through several significant U.S. government contracts. Under a sole-source, five-year contract valued at approximately $165 million, the company is helping the U.S. Army modernize 15 legacy systems through the Global Force Information Management – Objective Environment (GFIM-OE) project.

Another contract, valued at $13.2 million, supports the Joint Staff Directorate by enabling AI-powered decision-making capabilities that can be applied to a range of operational scenarios, including disaster response and environmental considerations.

BigBear.ai was also named a subcontractor on a $2.4 billion Federal Aviation Administration (FAA) contract aimed at modernizing national IT infrastructure. Its VeriScan™ biometric tools are currently deployed at 14 gates at Denver International Airport and are in use at Heathrow Airport.

These deployments enhance operational efficiency and security in airport environments. These improvements can indirectly support ESG goals by streamlining operations, improving passenger processing, and supporting the airport’s emission reduction goals.

Government and Defense Roots Strengthen Its Tech

BigBear.ai didn’t start as an ESG or climate tech company. It has deep roots in defense and national security, formed from a merger of multiple analytics firms. Its early work with U.S. intelligence agencies gave it experience handling secure, high-stakes data environments.

That background now helps it to potentially offer reliable and secure platforms for ESG and environmental analytics. As more governments apply AI to climate goals, BigBear.ai’s existing relationships in the public sector give it a competitive edge.

In December 2024, the company was awarded a 10-year GSA OASIS+ IDIQ contract covering five areas—including research, logistics, and intelligence—with applications ranging from environmental forecasting to resilient infrastructure planning. It also won a Department of Defense contract for its Virtual Anticipation Network Environment (VANE), designed to improve geopolitical and environmental threat analysis.

The company’s international exposure is growing as well. In early 2025, BigBear.ai showcased its predictive analytics tools at the International Defense Conference (IDEX) in the UAE, signaling expanding global interest in its climate modeling solutions.

BigBear.ai has formed strategic partnerships to strengthen its capabilities. Here are some of the major ones.

• Project ORION – AI-Powered Decision Support
  In 2024, BigBear.ai secured a $13.2 million U.S. government contract for its J-35 ORION platform. Originally built for military force management and decision support, but it can be used for environmental risk analysis as well.
• Pangiam Acquisition (2024)
  BigBear.ai acquired Pangiam, a leader in biometric and edge-AI technology. Its tools are for biometric identity verification and secure access solutions. 
• FAA Biometric Deployments – Denver & Heathrow
  BigBear.ai’s biometric tech is deployed at major airports, helping to reduce congestion and passenger dwell times. While aimed at improving security, the faster processing may also support the airport’s climate goals by lowering emissions at terminals.

The company also teamed up with Palantir to integrate its AI tools with Palantir’s Foundry platform, enabling even broader use in ESG monitoring and climate risk analytics. On top of these initiatives, BBAI is also working with its own environmental and climate goals. 

BigBear.ai Charts a Path to Net Zero with Measured GHG Reductions

While BigBear.ai can help others in reaching their ESG goals, it has also committed to its own. The company aims to achieve net-zero greenhouse gas emissions by 2030.

The company’s 2022 Greenhouse Gas Emissions Report establishes a transparent baseline for its emissions and outlines a science-based strategy for reduction.

2022 Emissions Baseline

In calendar year 2022, BigBear.ai measured its Scope 1 and Scope 2 emissions across all company-leased and controlled facilities. The company calculated its emissions in accordance with the GHG Protocol Corporate Accounting and Reporting Standard, ensuring accuracy and comparability.

Total Scope 1 and 2 emissions amounted to approximately 1.628 metric tons of CO₂ equivalent. The primary sources were electricity used in commercial office spaces, employee business travel, and commuting.

A detailed breakdown shows that Scope 2 emissions (primarily from electricity consumption) accounted for 95% of the company’s total emissions. Meanwhile, Scope 1 emissions (mainly from fuel combustion and company-leased vehicles) made up the remaining 5%. Notably, BigBear.ai’s total energy consumption was already low, at just 0.1 GWh for the year.

Science-Based Reduction Targets

BigBear.ai is committed to further reducing its climate impact by setting annual reduction targets starting in 2023. The company’s strategy includes:

• Eliminating certain real estate holdings to reduce Scope 2 emissions associated with office electricity use.

• Phasing out all company-owned vehicles to eliminate Scope 1 emissions from transportation.

By focusing on these short- and mid-term actions, BigBear.ai aims to achieve net-zero emissions by 2030. The company’s analytical approach and transparent reporting position it as a responsible player in the tech sector’s transition to a low-carbon future.

Why Investors Are Watching BBAI Stock

BigBear.ai can be seen as a company positioned at the intersection of AI and sustainability. It has the potential to offer its AI infrastructure to support green initiatives across sectors.

The company is still sensitive to quarterly volatility due to its reliance on large government contracts, and analysts have flagged a low Altman Z-score (around 0.14), indicating potential financial risk. However, for long-term investors—particularly those focused on ESG—BigBear.ai’s sustainability goals and data-driven approach may offer unique upside as the company evolves.

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

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Vancouver-based Lundin Mining Corporation aims to rank among the world’s top ten copper producers. On June 18, during its Capital Markets Day, the company shared its goal of producing over 500,000 tonnes of copper and 550,000 ounces of gold each year.

The plan includes major expansions at current sites and developing the Vicuña district, one of the richest untapped sources of copper, gold, and silver.

Jack Lundin, President and CEO, commented,

“Lundin Mining is entering an exciting new growth phase, underpinned by a clear path to increase copper production through low-cost brownfield expansions at Candelaria, Caserones, and Chapada. These projects are expected to deliver meaningful production gains over the next three to five years. Across all our operations, we see significant exploration upside, including promising opportunities at Eagle that could meaningfully extend the life of mine. In parallel, our Vicuña Project offers transformational long-term growth potential. Backed by a significantly strengthened balance sheet, reduced cash costs, robust free cash flow generation, and a best-in-class team, we are well-positioned to continue returning capital to shareholders while advancing  ambition of becoming a top-ten global copper producer.”

Lundin’s Copper Expansion Plans Backed by Operational Strength

Lundin Mining plans to boost copper production by 30,000 to 40,000 tonnes annually within three to five years. The company revealed that these increases will mainly come from brownfield expansions at existing operations.

2025 Production Guidance

Here are some of the strategies for achieving the targets:

Candelaria 

At Candelaria in Chile, Lundin is shifting its underground expansion to a more cost-effective model. This change will maintain nearly the same output while improving equipment use and speeding up underground development. Lundin expects to increase annual copper output by about 10%, adding around 14,000 tonnes.

Caserones

In Caserones, Chile, better leaching methods are increasing copper cathode production. By maximizing underused plant capacity and accessing more oxide material, Lundin aims to produce an extra 7,000 to 10,000 tonnes of copper each year.

Chapada

In Brazil, the Chapada mine is set for significant growth. A nearby brownfield project, the Saúva project, could contribute 15,000 to 20,000 tonnes of copper and 50,000 to 60,000 ounces of gold annually. This would boost copper output by 50% and double gold production at Chapada. A prefeasibility study is underway and should be ready by year-end.

Boulderdash Project: U.S. 

In the U.S., exploration continues at the Boulderdash project near the Eagle Mine. Lundin has an agreement with Talon Metals for a 70% stake if the project progresses. A successful discovery here could greatly extend the Eagle operation’s life.

Vicuña Project Could Transform Lundin’s Production Profile

Lundin holds a 50% stake in the Vicuña Project, which includes the Filo del Sol and Josemaria deposits. This area is now seen as one of the largest copper, gold, and silver resource regions worldwide.

An integrated development study is in progress, aiming to detail production outlooks and capital needs. Completion is expected in early 2026. If successful, this project could significantly enhance Lundin’s position among global mining leaders.

Copper and Gold Targets Within Reach

In the coming years, Lundin Mining forecasts steady production growth. Copper output is set to rise by up to 40,000 tonnes annually, while gold production could increase by as much as 70,000 ounces.

• These efforts support the larger goal of achieving annual production levels of over 500,000 tonnes of copper and 550,000 ounces of gold.

Lundin’s Strong Financial Outlook Supports Growth

Another feather in its cap is: Lundin Mining continues to show strong financial performance. The company plans to return $220 million to shareholders each year through dividends and share buybacks.

For 2025, Lundin anticipates revenue around $3.7 billion, assuming a copper price of $4.40 per pound. Adjusted operating cash flow is expected to reach $1.3 billion, with adjusted free cash flow around $800 million.

From 2025 to 2029, Lundin expects to generate $8.1 billion in cumulative EBITDA, $6.5 billion in operating cash flow, and $4.9 billion in free cash flow.

• SEE MORE: Anglo American and Codelco Join Forces to Maximize Chile’s Copper Output 

Recent Copper Output and Cost Savings Boost Confidence

Furthermore, in April and May, Lundin produced 53,000 tonnes of copper. Year-to-date copper production through May is 129,800 tonnes. This kept the company on track to meet its annual targets.

Cash costs at the Chapada mine have decreased due to strong gold prices and a weaker local currency in Brazil. Consequently, Lundin has lowered its overall copper cash cost guidance from $2.05–$2.30 per pound to $1.95–$2.15 per pound.

Lundin Mining Powers Up with 100% Renewables in Candelaria 

Lundin Mining continued to make progress on reducing its greenhouse gas (GHG) emissions in 2024. One of the key steps was at its Candelaria operation, where the company increased its renewable electricity supply from 80% to 100% by updating its power purchase agreement. With this change, all of Lundin Mining’s sites in Chile now run entirely on renewable electricity.

Scope 2 Emissions Drop Despite Overall Rise

• Since 2019, the company’s market-based Scope 1 and Scope 2 GHG emissions have dropped by 62%—from 1,543,612 tonnes in 2019 to 953,051 tonnes in 2024.

However, total gross Scope 1 and Scope 2 emissions were slightly higher in 2024 compared to the previous year. This increase was mainly due to including a full year of fuel-related emissions from the Caserones mine. Still, market-based Scope 2 emissions went down by 6%, helped by the shift to fully renewable electricity at Candelaria.

Lundin Mining is on track for a significant increase in copper and gold production. With low-cost expansion and a promising mining district, the company is focused on meeting its growth objectives. Grounded in solid financials and a commitment to shareholder returns, Lundin’s future relies on strong fundamentals and global opportunities.

• READ MORE: Copper Demand Set to Hit 37M Tonnes by 2050—Can Supply Keep Up? 

The post How Lundin Mining (LUN) Plans to Break into the World’s Top Ten Copper Producers? appeared first on Carbon Credits.

TerraPower, the nuclear energy company founded by Bill Gates, has secured a major $650 million investment to advance its Natrium reactor. This funding round included support from Nvidia’s NVentures, Bill Gates, and HD Hyundai. It brings TerraPower’s private financing to over $1.4 billion.

With $2 billion in federal support from the U.S. Department of Energy, the company now has more than $3.4 billion to speed up the design and building of its first commercial Natrium reactor.

The plant is being built in Kemmerer, Wyoming, at the site of a retiring coal plant. The goal is to have it operational by 2030, with construction that started in 2024. TerraPower has submitted its formal permit application to the Nuclear Regulatory Commission.

This is an important step in the U.S. nuclear approval process. This project is a top example of small modular reactor (SMR) use in the country. It may also serve as a model for future clean energy growth.

Tech Titans Join Nuclear Push for Low‑Carbon, 24/7 Power

Tech companies are turning to nuclear power as data centers and AI technologies using a lot of energy now. Nuclear power offers a clean and stable solution. Unlike solar and wind, which are intermittent, nuclear energy provides consistent electricity around the clock. This makes it ideal for powering servers, cooling systems, and other infrastructure that must run 24/7.

• RELATED: Meta Partners with Constellation to Power Illinois AI Data Centers with Nuclear Energy

Nvidia’s investment in TerraPower signals a growing interest from the tech sector in long-term energy solutions. AI applications, such as language models and image generators, drive high demand for computing power. This power relies on a steady supply of electricity.

According to estimates, a single AI training run can consume as much power as 100 U.S. homes use in a year. That figure is expected to rise as AI becomes more advanced and widespread. The chart below shows the range of power estimated for U.S. data centers by 2030. 

TerraPower has also partnered with Sabey Data Centers to explore integrating Natrium reactors directly with new data center builds. The goal is to place advanced nuclear reactors near digital infrastructure. This will provide secure, carbon-free power where it’s needed most. This could help stabilize grids while also reducing emissions from the rapidly growing tech sector.

Other major technology firms like Amazon, Microsoft, and Google are also investigating nuclear energy options. Many companies have net-zero goals due in the next decade. They are starting to see that renewables alone might not be enough.

Advanced nuclear reactors, such as Natrium, provide a flexible option. They complement solar and wind energy, which helps balance the grid and meet peak energy demands.

Natrium’s Secret Sauce: Salt, Safety, and Smarts

The Natrium design features a 345-megawatt sodium-cooled fast reactor. Unlike traditional reactors that use water as a coolant, Natrium uses liquid sodium, which allows the reactor to operate at lower pressures and higher temperatures. This improves efficiency and simplifies construction while enhancing safety.

What makes Natrium especially innovative is its 1-gigawatt-hour thermal energy storage system. This system stores excess heat in molten salt, which can then be released on demand to generate up to 500 megawatts of electricity for several hours. Such flexibility allows the plant to increase output during peak demand. It can also reduce production when renewable sources generate enough power.

Apart from being safer and more adaptable, Natrium is also cleaner than older reactors. It produces less long-lived radioactive waste and is designed to be easier to build and replicate. TerraPower expects future reactors to be constructed in about 36 months, significantly faster than traditional nuclear projects.

Supply‑Chain Partnerships and Global Scale‑Up

To bring Natrium to market quickly and at scale, TerraPower is forming global partnerships. The company is working with HD Hyundai Heavy Industries to manufacture reactor components and vessel systems. It has also teamed up with Spain’s ENSA and South Korea’s Doosan for parts fabrication and engineering services.

TerraPower is also eyeing international markets. It has submitted its Natrium design to the UK’s Generic Design Assessment and is in early discussions with regulators in Japan and South Korea.

As more countries set net-zero goals and look to retire fossil fuel plants, interest in advanced nuclear is growing. TerraPower’s flexible, scalable model could meet that demand in both developed and emerging economies.

• RELEVANT: Europe’s €240B Nuclear Revival and the Rise of BWX Technologies (BWXT) & Électricité de France (EDF.PA)

A New Nuclear Renaissance for Energy‑Hungry AI and the Grid

We are entering a new phase of global energy transition, one in which AI and data services will become as central to society as manufacturing and agriculture. With that shift comes a steep rise in electricity demand.

Data centers, AI training clusters, and cloud platforms are projected to consume up to 8% of global electricity by 2030—double what they consume today.

EPRI U.S. Data Center Load Projections

In response, private investors and governments are turning to small modular reactors as a solution. These reactors can be placed near industrial centers or in remote spots. They produce steady electricity while using little land and also fit well with the current infrastructure.

SMRs also complement wind and solar by filling in gaps when the sun isn’t shining or the wind isn’t blowing. Learn more about this reactor technology in this comprehensive guide. 

TerraPower’s Natrium is one of several SMR designs moving forward globally, but it is currently among the best-funded. Including the recent Nvidia-led round, SMR developers worldwide have raised over $3.5 billion in private capital since 2023.

That wave of investment shows a change in how industries and countries see nuclear energy. It’s not just a backup option anymore. Instead, it’s a key solution for decarbonizing power systems. Experts believe that advanced reactors could help meet dual challenges: providing zero-emission baseload energy and supporting the digital economy’s rising demand.

If TerraPower’s Wyoming project succeeds, it may lead to a new generation of nuclear plants that are smaller, safer, and easier to build than their predecessors. This trend is strengthened by the recent nuclear energy deal signed by Oklo with the U.S. Air Force. The DoD picked Oklo to provide clean power to its Eielson Base in Alaska.

Nuclear 2.0: Why TerraPower Could Lead the Charge

TerraPower’s Natrium reactor represents a bold and practical approach to clean energy. Backed by private tech investors like Nvidia and federal agencies, the company is creating a new nuclear power model. This model is safe, adaptable, and meets today’s energy needs.

If the company can deliver on its promise, Natrium may become a blueprint for the future of nuclear power: compact, clean, and ready for the 21st century.

• READ MORE: Trump’s New EOs Revive Nuclear: Fast Reactors, Big Promises, and a Race Against Time

The post Nvidia Invests in Bill Gates’ TerraPower, Which Closes $650M for Its Natrium Reactor appeared first on Carbon Credits.

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.

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.

• RELATED: Global Carbon Pricing and Revenues: How Carbon Markets Hit Over $100 Billion

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:

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:

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 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. 

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.

• READ MORE: What’s Next for Forest Carbon Credits? This UK Climate Tech Startup is Boosting Trust with Real-Time Data

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