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3 AI Companies To Watch in 2025 and How They Power the Net-Zero Revolution

As the race to reach net-zero intensifies, artificial intelligence (AI) has emerged as a powerful tool for combating climate change. AI is changing how we measure and reduce environmental damage. It helps decarbonize industries and verify carbon offset projects. Investors are now eyeing a new frontier where climate innovation meets digital intelligence.

In this article, we spotlight three rising companies using AI to drive real-world environmental impact: AECOM, Stem Inc., and Verdantix.

Why AI is The Brain Behind the Green Revolution

AI is not just a buzzword in climate circles anymore. It’s a key enabler in scaling up decarbonization, nature monitoring, and sustainability efforts. PwC says AI in climate actions might cut global greenhouse gas emissions by 4% by 2030. That’s about the same as the yearly emissions from Australia, Canada, and Japan together.

GHG emissions lower due to AI PwC
Source: PwC

Moreover, AI could create up to $5.2 trillion in global economic value. This is because it can make industries more efficient and sustainable.

AI supports both environmental stewardship and financial performance. AI helps companies meet demands from regulators and ESG-minded investors. It provides real-time insights and boosts transparency, as well as guides strategies to cut emissions. It also improves corporate accountability.

Here are four critical ways AI is accelerating climate action:

  • Carbon Accounting 

AI improves the accuracy and efficiency of emissions tracking across complex systems like global supply chains. It enables detailed Scope 1, 2, and especially Scope 3 data capture. Capgemini found that 48% of organizations already use AI to measure and reduce emissions.

  • Project Verification

Remote sensing, satellite images, and AI models can verify carbon offset projects. This includes reforestation and soil carbon storage. McKinsey says automated tools can lower verification costs by up to 80%. In turn, this helps build trust and cut down on greenwashing.

  • Climate Forecasting

AI models help governments and insurers simulate extreme weather risks. They also predict long-term climate impacts. Tools like Google’s DeepMind and ClimateGPT provide local forecasts. They also model risks for decades ahead.

  • Deforestation Monitoring

Machine learning algorithms scan satellite data to detect illegal logging or land degradation. For instance, Global Forest Watch uses AI to alert stakeholders quickly. This helps protect biodiversity and carbon sinks.

Notably, AI is speeding up climate innovation. The top AI companies below are using their power to excel in ESG performance, sustainability reporting, and environmental impact.

AECOM (NYSE: ACM): Engineering Smart Cities for a Hotter World

  • Sector: Engineering and Infrastructure
  • Market Cap: $15.3 billion
  • Headquarters: Dallas, Texas

AECOM is a global infrastructure consulting firm. They use AI and data analytics to design sustainable cities. Their goals are to reduce construction emissions and build climate-resilient systems. It works on major public and private projects worldwide and has become a key partner in developing net-zero urban environments.

Key initiatives include:

  • Uses AI to model and simulate infrastructure against flood, heat, and climate risks.
  • Launched ScopeX, a tool that reduces embodied carbon in construction projects by up to 50%.
  • Applies predictive analytics across transportation, water, and energy systems to lower lifecycle emissions.
  • Supports net-zero urban development through AI-enhanced planning and design.

Net-Zero and ESG Strategy

AECOM aims for net-zero emissions by 2040. This goal follows science-based targets and covers Scope 1, 2, and major Scope 3 categories. Between 2019 and 2022, it cut operational emissions by 37%, with a target of a 50% reduction by 2030. The company has a total emissions of 11,459 tCO2e as of 2024 reporting period.

Aecom net zero
Source: Aecom

The company helps clients reduce carbon emissions in their infrastructure through sustainable engineering practices. As part of its ESG strategy, the company aligns its disclosure with leading frameworks like TCFD, CDP, and SASB.

AECOM is also a signatory to the UN Global Compact and the Business Ambition for 1.5°C pledge.

As for its financial performance, AECOM generated $14.4 billion in revenue in FY2023 and recently announced a $1 billion stock buyback program. Its strong financials and ESG credentials position it as a reliable and future-ready investment.

Stem Inc. (NYSE: STEM): AI-Powered Batteries That Beat the Peak

  • Sector: Clean Energy & Battery Storage
  • Market Cap: $72 million
  • Headquarters: San Francisco, California

Stem Inc. operates one of the world’s most advanced AI-powered energy storage platforms. Its Athena™ software balances solar and battery usage to reduce emissions and grid congestion. AI-driven energy storage is key for stability and decarbonization as the grid adds more renewable energy.

Major efforts include:

  • Athena™ uses machine learning to optimize battery dispatch and avoid peak fossil fuel generation.
  • Helps large commercial users cut Scope 2 emissions by shifting to renewable energy at strategic times.
  • Partners with solar developers to provide grid services at a lower carbon intensity.
  • Manages over 1.6 GWh of storage capacity across North America.

Sustainability and Impact

Though Stem hasn’t issued a formal net-zero pledge, its business model is strongly aligned with emissions reduction. Its systems help clients dodge carbon-heavy electricity during peak times. They also speed up clean energy use.

In its latest sustainability update, the company highlighted plans to track Scope 3 emissions. It also aims to improve lifecycle transparency. The image below shows the company’s recently available GHG emissions, broken per category or emissions source. 

Stem Inc GHG emissions
Source: Stem Inc.

Athena’s AI capabilities also allow customers to integrate ESG goals into energy decisions, such as prioritizing low-carbon sources or optimizing for emissions reductions.

The company has over 16,000 customers around the world. It manages storage assets at more than 1,000 sites and oversees solar assets at over 200,000 locations globally. Stem serves over 260 cities and partners with more than 40 utilities. This shows its wide reach and strong influence in clean energy.

Stem raised over $600 million through a SPAC merger and continues to grow through strategic partnerships. The company plans to achieve profitability with software-driven energy services. It will also scale its grid-interactive clean energy assets.

Verdantix: The ESG Whisperer for Climate Accountability

  • Sector: ESG Intelligence and Software
  • Type: Private Company
  • Headquarters: London, UK

Verdantix is a leading research and advisory firm helping organizations manage ESG risks and opportunities. Its AI-powered tools assist corporations in tracking, reporting, and improving sustainability performance. As regulations grow worldwide, Verdantix is emerging as a key player in ESG compliance and climate disclosures.

Below are some of the company’s clients from various industries:

Verdantix clients

The company’s research shows key market trends. The EHS services market is set to reach $63 billion. Also, the industrial asset management software market is expected to hit $17 billion by 2030.

Key initiatives in the space are:

  • Offers AI-based benchmarking tools to assess ESG maturity and climate risk exposure.
  • Uses natural language processing (NLP) to analyze climate disclosures and sustainability reports.
  • Helps clients align with global frameworks like TCFD, CSRD, and ISSB.
  • Advises Fortune 500 firms on net-zero planning, ESG strategy, and emissions tracking.

ESG and Environmental Contributions

Verdantix also does not have its own net-zero pledge. However, it helps boost ESG performance in many industries. Its software supports accurate measurement of Scope 1–3 emissions, scenario analysis, and sustainability KPI tracking. This is vital for clients aiming to meet science-based targets and prove real climate progress.

As more regulations make climate disclosures mandatory, Verdantix’s role in ensuring data quality and ESG transparency is expanding. It helps create stronger carbon markets by verifying environmental claims and providing reliable sustainability data.

Verdantix is growing rapidly across North America and Asia, with clients in finance, tech, and heavy industry. As climate rules get stricter, demand for its services will likely grow. This is especially true for multinational companies getting ready for the required ESG reports in the EU and the U.S.

Investor Takeaway: Why Climate + AI = Smart Money

As global markets aim for net-zero, AI and climate join forces. This mix offers a unique chance for impact, innovation, and investment. AI does accelerate climate solutions; it makes them smarter, more accurate, and scalable.

Each of the companies profiled in the article offers a distinct edge:

  • AECOM delivers reliable ESG-aligned growth by embedding AI in sustainable infrastructure.
  • Stem Inc. offers scalable climate impact through real-time clean energy optimization.
  • Verdantix ensures that ESG progress is measurable, verifiable, and aligned with compliance requirements.

Artificial intelligence is helping firms reduce their emissions, measure progress, and prepare for climate risks. These companies stand out not just for their tech but for their ability to deliver measurable environmental and ESG outcomes.

For impact-driven investors, policymakers, and sustainability professionals, these are the companies to watch in 2025 and beyond. Their work shows that climate ambition, powered by digital intelligence, can drive real transformation across sectors and value chains.

The post 3 AI Companies To Watch in 2025 and How They Power the Net-Zero Revolution appeared first on Carbon Credits.

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Designing an Insetting Program: A Step-by-Step Playbook for Procurement

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Insetting program design starts with your supplier map. The carbon claim comes much later.

Consider a coffee procurement team that funds a farm intervention before checking its sourcing data. The supplier aggregates coffee lots from several regions. The buyer lacks farm-level traceability. Another purchaser expects to report the same outcome. A more attractive project brochure solves none of these problems.

If the distinction between a value-chain intervention and a purchased credit is still open, read CCC’s Insetting vs Offsetting guide before you set the brief.

Insetting program design begins with the purchasing relationship and works outward. You need to decide 1) where an intervention belongs, 2) what business problem it addresses, 3) who pays for it, 4) how results will be measured, and 5) what the evidence will let you say about them. This five-step playbook turns that sequence into a procurement plan.

Step 1: Insetting program design starts with supplier mapping

Start with the commodities that matter most to your Scope 3 inventory and sourcing continuity. Ask finance for spend by supplier, sustainability for the emissions baseline, and category managers for origin and volume records. Then identify which suppliers can trace material to a jurisdiction, sourcing region, producer group, or individual land-management unit.

The level of traceability affects what you can account for. Under the GHG Protocol Land Sector and Removals Standard, the spatial boundary for purchased land-based products depends on the traceability associated with each volume. Farm-specific factors or removals require physical traceability through an acceptable chain-of-custody model. A contract with a tier-one trader, by itself, does not establish a link to the farms behind its deliveries.[1]

Build a first-pass table with five columns: commodity and annual volume; supplier and origin; current traceability level; land-use and production risks; and the business owner who can change the purchasing terms. Mark missing data plainly. A blank cell is cheaper to fix before a program starts than after a claim is drafted.

If your company sets an SBTi Forest, Land and Agriculture target (FLAG), keep its land-related target boundary separate from energy and industry emissions. The current FLAG guidance also requires relevant companies to assess primary deforestation-linked commodities in their value chains.[2]

Step 2: Choose a commodity and jurisdiction for a pilot

Select one supply corridor where the sourcing connection can be established and procurement has a reason to stay. A useful pilot has repeat purchases, suppliers willing to share records, an intervention matched to a diagnosed problem, and a defined plan to measure the result. Carbon potential alone is a poor selection rule if the supplier cannot deliver the crop your business needs.

Compare candidate regions on land-use risk, supplier concentration, local rights and tenure, the availability of baseline data, and exposure to drought, erosion, or forest conversion. Check the relevant legal requirements separately. A nature project does not satisfy a due-diligence obligation merely because it has a carbon method attached.

Consider a coffee buyer sourcing from two districts. In the first, producer-group records identify the farms, while recent dry seasons have increased rejected green coffee lots. In the second, deliveries pass through several intermediaries and farm origins are unknown. Pilot shade management in the first district, with local agronomic advice and quality checks built into the plan. The buyer can trace purchases there and test the intervention against a defined sourcing problem.

Use a short decision memo to record why the selected corridor beats the alternatives, what remains uncertain, and what would stop the pilot. That memo is the first control against a project drifting toward whatever happens to photograph well.

Step 3: Design the supplier engagement and commercial model

The intervention needs an owner on each side of the contract. Decide who supplies planting material or training, who maintains the practice, who bears the cost if a harvest disappoints, and how long the buyer expects to purchase from participating suppliers. Where smallholders participate, budget cash flow and technical support for practices that offer a later return.

Put these terms in a supplier agreement or pilot addendum. It should cover eligible farms and volumes, consent to data collection, access for monitoring, any land or carbon rights that matter, benefit sharing, and what happens if the purchasing relationship ends. Ask local counsel and producer representatives to review the arrangement. The Accountability Framework is a useful reference for supply-chain work involving forests, ecosystems, and human rights.[3]

Avoid assigning an automatic carbon benefit to the buyer. The contract should say which party has the right to report each outcome, how overlapping claims will be checked, and how any issued credits will be handled. A reduction reported in a buyer’s inventory cannot simply be sold for someone else’s offset claim without an accounting review. SBTi FLAG guidance excludes purchased credits used as offsets from near-term FLAG target achievement.[2]

Set commercial measures beside environmental ones: delivered volume, rejection rate, supplier retention, and procurement cost. They tell you whether the program works as a supply-chain investment, even if carbon accounting takes longer to resolve.

Step 4: Build monitoring, reporting, and verification before rollout

Agree on the baseline and data flow before paying for a full rollout. Identify the land units or sourcing regions in scope, the practices that change, the records suppliers already keep, and the additional measurements the program requires. Decide which data can come from field visits, transaction records, or remote sensing, and who checks each source.

For carbon, separate three questions. Did the practice happen? Did emissions or removals change under an applicable method? Can the buyer attribute a defensible share to its purchased goods without double counting? The GHG Protocol’s 2026 guidance includes dedicated chapters on spatial boundaries, data and methods, evaluating actions, credited outcomes, and assurance.[1] These are distinct jobs. A photograph of a planted tree answers only part of the first.

CCC’s MRV and Additionality article explains the separate evidence questions a project reviewer will ask.

Create an evidence file for every reporting period: dated supplier and farm records, purchase volumes, methods and emission factors, uncertainty, quality checks, and changes from the baseline. Specify who can challenge the data and how corrections are recorded. If a project also seeks credit certification, keep project accounting and corporate inventory accounting separate. The GHG Protocol says its land standard focuses on entity-level inventories and does not set the rules for credit certification.[4]

Start with the minimum viable measurement design that can survive review. Add complexity when the pilot tells you which data actually changes a decision.

Step 5: Decide what can be reported and claimed

Insetting program design needs reporting rules before the marketing copy. Procurement, sustainability, finance, and legal should agree on four distinct outputs: operational performance; observed land or nature outcomes; inventory effects, if the accounting criteria are met; and any separately issued credits. One dashboard can display them, but they should not share a single unqualified headline.

SBTi FLAG guidance allows certain land-based removals within a company’s operations or supply chain to contribute to FLAG pathways, subject to criteria including permanence, traceability, data quality, and allocation. It does not allow purchased offsets to meet near-term FLAG targets.[2] Eligibility therefore depends on evidence and the applicable target rules, not on calling an activity “insetting.”

Draft a claims register. For each proposed sentence, record the period, boundary, data owner, calculation method, reviewer, and whether the result is measured, estimated, or still a goal. If the evidence supports only “we funded a pilot with 200 farms,” say that. Do not turn a funding fact into a verified emissions reduction.

What good looks like by year three

Treat year three as a review point, not a promised payback date. A mature pilot should have mapped participating supply volumes, a stable supplier agreement, a repeatable data collection process, and a comparison of commercial and environmental results against the baseline. It should also have a documented answer for outcomes that cannot be included in the buyer’s inventory.

Scale only where the pilot improves a sourcing decision and the evidence can follow the product. If neither condition holds, redesign the intervention or change the corridor. A disciplined program can conclude that a site is unsuitable. That is useful procurement intelligence.

Discuss your insetting program with CCC

Carbon Credit Capital designs nature-based supply chain investments around sourcing needs and measurable sustainability outcomes. Schedule a consultation with our carbon and sustainability experts to map your tier-one supplier network, FLAG exposure, and first pilot decision.

Sources

[1] GHG Protocol, Land Sector and Removals Standard, version 1.1, and companion Guidance, June 2026: https://ghgprotocol.org/land-sector-and-removals-standard ; https://ghgprotocol.org/land-sector-and-removals-guidance

[2] Science Based Targets initiative, Forest, Land and Agriculture Science-Based Target-Setting Guidance, version 1.2, March 2026, especially pp. 16–17, 37, and 41: https://sciencebasedtargets.org/resources/files/SBTiFLAGGuidance.pdf

[3] Accountability Framework initiative, Accountability Framework and guidance for companies: https://accountability-framework.org/

[4] GHG Protocol, Frequently Asked Questions: Land Sector and Removals Standard, questions 10 and 18: https://ghgprotocol.org/blog/frequently-asked-questions-land-sector-and-removals-lsr-standard

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The Strategic Case for Nature-Based Carbon Investments

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Nature-based carbon investments deserve consideration when they address a specific business dependency and produce outcomes you can measure. Imagine Moonbucks, a global coffee roaster planning next season’s espresso blend. It is considering natural Grade 4 coffee from Jimma, in southwestern Oromia, Ethiopia. Its sourcing decisions affect the roasting schedule and the cash tied up in coffee purchases. Moonbucks needs to understand which measures could protect that supply, what they would cost and how it would judge the results.

1. Define the sourcing problem before choosing a project

Moonbucks needs a dependable component for its espresso blend. Its procurement team wants continuity of volume and an agreed cup profile. Replacing a shipment at short notice could require new sample approval and changes to the blend, and given the schedules for cultivation, processing, and freight delivery, is practically impossible. Moonbucks needs to get this right, and its initial concern is inconsistent deliveries. It commissions an assessment of the supplying farms and post-harvest chain. The questions cover land condition, harvest availability and whether drying or storage problems are affecting saleable lots.

This distinction changes the investment brief. A tree-planting proposal cannot be assumed to fix drying problems. Better storage cannot restore eroded land. The team must establish which problem exists before selecting the response.

CCC’s guide to finding nature-based solutions in your supply chain explains where to look. Here, the next task is to turn a broad concern into a testable proposal.

2. Develop nature-based carbon investments around the actual supply chain

The assessment would trace Moonbucks’ purchases back through the exporter and supplying producer groups. Which farms supply the contracted lots? Who controls land-management decisions? How long does the buyer expect to maintain the purchasing relationship?

Furthermore, Jimma natural Grade 4 cannot be treated as interchangeable with every Ethiopian coffee. Moonbucks would need to test any substitute against its own blend and quality requirements.

Suppose Moonbucks’ assessment identifies an opportunity to maintain shade trees and restore vegetation along exposed streambanks. The IPCC describes agroforestry as a way to store carbon in vegetation and soil, with potential benefits for erosion control and water quality.1 Moonbucks would need local advice on species, growing conditions and maintenance before deciding how these measures fit its sourcing plan.

The proposal now has a defined sourcing connection and a candidate intervention. The next steps are to test its effect on production, assess carbon eligibility and build the financial case.

3. Compare the proposal with other ways to protect supply

WBCSD’s Nature-based Solutions Blueprint recommends comparing nature-based options with other responses across their benefits and costs.2 For Moonbucks, that means evaluating the landscape proposal alongside drying improvements, storage controls and alternative sourcing arrangements.

The product’s natural-process designation matters. Moonbucks should examine the drying and dry-milling chain alongside land conditions. Its team would check storage practices, contamination risks and incoming-lot quality to see whether problems arise before or after the coffee leaves the farms.

The revised proposal might combine land stewardship with separate post-harvest controls. Each component needs its own purpose and budget. A sustainability label should not obscure which activity is expected to solve which problem.

The project develops as the evidence improves. Its scope should follow the diagnosis rather than preserve the first idea unchanged.

4. Establish what the carbon outcome could count toward

Moonbucks’ sustainability team now tests the proposed carbon case separately from the sourcing case. Is the objective a measurable change in Moonbucks’ value-chain emissions, verified credits for separate voluntary use, or distinct outcomes under carefully defined arrangements?

Scope 3 covers value-chain emissions. A purchasing relationship alone does not prove that a farm intervention can be included in Moonbucks’ inventory. The team needs an applicable accounting method, defensible boundaries and evidence supporting attribution.

SBTi’s FLAG Guidance (forest, land and agriculture), version 1.2, says purchased credits used as offsets cannot meet near-term FLAG or energy and industry targets. Eligible land-based removals are subject to accounting requirements.3 Moonbucks needs to test its proposal against those rules before including an outcome in its targets.

For Moonbucks’ Jimma proposal, maintaining existing trees and establishing new vegetation could involve different carbon questions. Specialists must examine the baseline and additionality, meaning what changes because the project proceeds. They must also assess measurement and the risk that stored carbon is lost. CCC’s MRV and additionality article introduces those tests.

Until that work is complete, Moonbucks should not budget an assumed Scope 3 reduction or credit-sale receipt. Direct emissions reductions remain the priority.

5. Build a financial case that survives weaker assumptions

Moonbucks’ finance team would now build a multi-year budget. UNEP’s State of Finance for Nature 2023 compares current finance with the investment needed to meet climate, biodiversity and land-restoration goals.4 The company would cost its proposed activities, farmer participation and ongoing monitoring. Verification, where required, is a separate expense. Maintenance and responsibility for replacing failed plantings must remain visible after the initial establishment budget ends.

Operational benefits need equally careful treatment. If fewer rejected lots reduce emergency purchasing, count that saving once. Do not add “supply resilience” as another financial benefit when it represents the same avoided cost.

Moonbucks should compare a base case with slower benefits, higher implementation costs and no carbon revenue. It should also distinguish production outcomes from quality and shipment outcomes. A single good harvest would not prove that the landscape intervention caused better delivery performance.

A project can remain worth funding even when its carbon case needs more work. That decision must rest on the operational evidence and the company’s objectives, without unsupported environmental claims.

6. Fund a pilot with a clear expansion decision

Moonbucks’ first approval would fund a bounded pilot, rather than commit the entire sourcing program. Before spending, Moonbucks would agree on participating farms, responsibilities and the evidence needed at review.

Its scorecard could track farmer participation, implementation costs and plant survival, alongside accepted coffee volumes and lot-quality results. Carbon measurements would follow the selected method. Farm-level traceability must connect the intervention to the actual sourcing relationship.

Suppose Moonbucks’ review later finds that storage changes explain most quality improvements, while the land measures need longer observation. Those findings would shape the next decision: expand the proven component, adjust the landscape work or pause further spending. They would not justify crediting all improvements to tree planting.

This gives nature-based carbon investments a practical place in a multi-year strategy. Funding increases as the evidence supports it, and the project can change direction before a larger commitment.

Discuss a sourcing opportunity with CCC

Carbon Credit Capital’s nature-based supply-chain investment service uses its Dual-Value Model to examine supply-chain economics alongside potential sustainability outcomes.

Schedule a consultation to discuss your sourcing exposure and the questions to resolve before allocating capital.

Sources

  1. Intergovernmental Panel on Climate Change (IPCC), Climate Change 2022: Mitigation of Climate Change, Chapter 7, Agriculture, Forestry and Other Land Uses, section 7.4.3.3 (Agroforestry).
  2. World Business Council for Sustainable Development (WBCSD), Nature-based Solutions Blueprint, 5 June 2024.
  3. Science Based Targets initiative (SBTi), Forest, Land and Agriculture Science-Based Target-Setting Guidance, version 1.2, March 2026, section 3.1.4, pp. 37–38.
  4. United Nations Environment Programme (UNEP), State of Finance for Nature 2023, 2023.
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How to buy plastic credits, and what to check before you do

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A plastic credit funds the collection of plastic waste in places where no formal system exists to collect it. Each credit represents a measured, independently audited quantity of plastic taken out of the environment or returned to use, tracked on a public registry.