Top 20 Carbon Management Companies Using AI, Automation, and Machine Learning in 2026

Introduction

Managing carbon emissions has shifted from long-term ambition to near-term operational necessity. Governments, enterprises, and infrastructure operators are under growing pressure to measure emissions accurately, reduce them effectively, and demonstrate credible progress toward climate targets. At the same time, climate risks are becoming more distributed across energy systems, supply chains, land use, and the built environment.

In this environment, carbon management is no longer a static reporting exercise. It has become a systems challenge that depends on continuous data, automation, and decision support. Traditional manual inventories struggle to keep pace with the scale and verification demands now required.

By 2026, the companies that matter are those running active systems, from satellites tracking emissions and platforms modeling supply-chain impacts to automated carbon capture plants and AI-driven verification infrastructure.

Why AI-Driven Carbon Management Matters

AI and automation are increasingly central to how carbon is measured, reduced, and verified at scale.

• Continuous emissions monitoring: Satellite imagery, sensor networks, and machine learning enable near real time detection of emissions across thousands of assets and locations.
• Higher data integrity and accuracy: Machine learning helps normalize complex datasets, reduce inconsistencies, and improve estimates for hard-to-measure areas such as Scope 3 and land-use emissions.
• Actionable decision support: AI-driven analytics allow organizations to prioritize decarbonization actions based on cost, feasibility, and emissions impact rather than static reporting.
• Automated and auditable MRV: Automation strengthens measurement, reporting, and verification by improving consistency, traceability, and repeatability across reporting cycles.
• Scalable carbon management systems: AI enables carbon management platforms to expand across regions, supply chains, and sectors without proportional increases in manual effort.

Rather than replacing expertise, these technologies allow carbon management to function as an operational system rather than a retrospective accounting task.

Criteria for Leading Carbon Management Companies

The companies featured here were selected based on practical, execution-focused criteria:

• Active use of AI, automation, or machine learning in day-to-day operations
• Operational deployment, not pilots or conceptual tools
• Primary focus on carbon management, not general ESG reporting
• Scalable and repeatable systems
• Demonstrated real-world engagement with enterprises, governments, or markets

Companies were evaluated based on operational deployment, depth of AI or automation in operations, and relevance to real-world carbon management challenges.

The Carbon Management Companies Operating at Scale in 2026

These 20 companies represent the most active and operational players in carbon management. From enterprise carbon accounting platforms and emissions monitoring systems to carbon removal and verification infrastructure, they are applying AI, automation, and data-driven systems to measure, manage, and reduce emissions in real-world environments.

While this list is not ranked, it reflects the diversity of approaches shaping carbon management in 2026. Each company highlighted here is actively deploying technology at scale, contributing to a more transparent, accountable, and operationally grounded approach to managing carbon across industries and markets.

1. Carbonfuture

Carbonfuture

CarbonFuture focuses on advancing high-quality carbon removal by providing digital infrastructure for measurement, reporting, and verification (MRV) of carbon removal projects. The company works with biochar producers, engineered removal projects, and buyers to ensure that carbon removal outcomes are traceable, verifiable, and aligned with emerging standards.

Its platform relies on automated data pipelines, standardized methodologies, and algorithmic validation to track carbon removal from project origin through credit issuance. By digitizing MRV processes and reducing manual verification overhead, CarbonFuture enables scalable and transparent carbon removal accounting, supporting greater trust and integrity in the growing carbon removal market.

• Founder(s): Matthias Ansorge and Hannes Junginger
• Founding Year: 2020
• Headquarters: Zurich, Switzerland, and San Francisco, USA.

2. GHGSat

GHGSat

GHGSat operates a constellation of satellites designed to detect and quantify methane and carbon dioxide emissions from individual industrial facilities. Its technology enables operators, regulators, and researchers to pinpoint emissions sources with high spatial resolution, supporting mitigation efforts across the energy, mining, and waste sectors.

The company relies on advanced machine learning models to process spectral data captured by its satellites, identifying gas plumes and estimating emission volumes. This automated, AI-driven workflow allows continuous global monitoring and rapid detection of high-impact emissions events.

• • Founder(s): Stéphane Germain
  • Founding Year: 2011
  • Headquarters: Montreal, Canada

3. Kayrros

Kayrros

Kayrros provides geospatial intelligence on energy systems and emissions by analyzing satellite imagery, atmospheric data, and industrial activity signals. Its platform supports governments, financial institutions, and energy companies in tracking emissions trends, supply disruptions, and environmental risks.

Machine learning plays a central role in Kayrros’ operations, enabling large-scale processing of satellite datasets and automated detection of emissions anomalies. By combining AI with geospatial analytics, the company delivers actionable insights on carbon and methane emissions at regional and global scales.

• Founder(s): Antoine Rostand, Yohann Benesty
• Founding Year: 2016
• Headquarters: Paris, France

4. Sweep

Sweep

Sweep specializes in enterprise carbon management, enabling organizations to measure, manage, and reduce emissions across Scope 1, Scope 2, and Scope 3 operations. The platform is designed for companies with complex value chains that require continuous emissions tracking rather than periodic reporting.

Sweep uses AI, automation, and machine learning to automate emissions data collection from internal systems and suppliers, apply intelligent emissions factor matching, identify data gaps and anomalies, and model decarbonization scenarios. These AI-driven workflows support scalable, auditable carbon accounting and help organizations prioritize emissions reduction actions based on impact and feasibility, making carbon management an active operational process rather than a static compliance task.

• Founder(s): Rachel Delacour, Raphaël Labbé
• Founding Year: 2020
• Headquarters: Paris, France

5. Pachama

Pachama Logo

Pachama focuses on improving the credibility and effectiveness of nature-based carbon projects through advanced forest monitoring. The company evaluates forest health, carbon storage, and deforestation risks across large landscapes, supporting carbon credit development and verification.

Its platform integrates satellite imagery, LiDAR data, and machine learning models to continuously measure forest carbon stocks and detect changes over time. This AI-driven monitoring enables more accurate, transparent, and scalable measurement, reporting, and verification (MRV) for forest-based carbon projects.

• Founder(s): Diego Saez-Gil and Tomas Aftalion
• Founding Year: 2018
• Headquarters: San Francisco, California, USA

6. Sylvera

Sylvera Logo

Sylvera provides independent ratings and analytics for carbon credits, helping buyers understand the quality and risk associated with different projects. Its work addresses growing concerns around credibility, additionality, and permanence in voluntary carbon markets.

The company uses machine learning to analyze satellite data, project documentation, and environmental indicators to score carbon projects. By automating project assessment at scale, Sylvera enables more informed decision-making and greater transparency in carbon markets.

• Founder(s): Dr. Allister Furey and Samuel Gill.
• Founding Year: 2020
• Headquarters: London, United Kingdom

7. Plan A

Plan A Logo

Plan A specializes in enterprise carbon management and decarbonization, enabling organizations to measure emissions, manage Scope 1, Scope 2, and Scope 3 inventories, and execute reduction strategies aligned with regulatory and science-based targets. The platform is designed for companies operating across multiple regions and complex value chains that require continuous, auditable carbon oversight rather than periodic reporting.

The platform uses AI and automation, with selective machine learning, to streamline emissions data ingestion, normalize datasets, improve emissions factor matching, and flag data gaps or inconsistencies. These capabilities support scenario analysis and reduction planning, enabling organizations to treat carbon management as an ongoing operational function.

• Founder(s): Lubomila Jordanova, Nathan Bonnisseau
• Founding Year: 2017
• Headquarters: Berlin, Germany

8. Watershed

Watershed Logo

Watershed provides enterprise carbon accounting and decarbonization software for large organizations. The platform helps companies measure emissions across operations and supply chains while identifying reduction opportunities aligned with climate targets.

AI and automation are embedded throughout Watershed’s platform, particularly in Scope 3 emissions modeling, data normalization, and scenario analysis. These capabilities allow organizations to manage complex emissions datasets and prioritize high-impact reduction strategies.

• Founder(s): Christian Anderson (CEO), Avi Itskovich, and Taylor Francis.
• Founding Year: 2019
• Headquarters: San Francisco, California, USA

9. Persefoni

Persefoni Logo

Persefoni is an enterprise climate management platform built to deliver investor-grade carbon accounting, reporting, and decarbonization insights. Its software is used by corporations and financial institutions to comply with emerging climate disclosure requirements.

Persefoni applies AI and machine learning across data ingestion, validation, and analysis to improve data quality at scale—automating classification, emission factor matching, anomaly detection, and supplier mapping while preserving full traceability and human oversight. This technology enables consistent, auditable carbon reporting across complex organizational structures.

• Founder(s): Kentaro Kawamori, Jason Offerman, and Kim Stroh
• Founding Year: 2020
• Headquarters: Tempe, Arizona, USA

10. Climatiq

Climatiq Logo

Climatiq provides emission factors and calculation tools through APIs that developers use to embed emissions intelligence into their platforms. Additionally, Climatiq offers a free Data Explorer tool for browsing their emission factor database, with additional tools for sustainability professionals launching soon including for product carbon footprinting.

Their platform uses automation and machine learning to support emission factor matching, data enrichment, and calculations across large datasets. Datasets are vetted by carbon accounting experts, and the company’s data strategy is overseen by a Scientific Advisory Board of climate scientists.

• Founder(s): Hessam Lavi, Philipp von Bieberstein and Isis T. Baulig
• Founding Year: 2021
• Headquarters: Berlin, Germany

11. CarbonChain

CarbonChain

CarbonChain specializes in measuring and managing emissions associated with industrial supply chains, particularly in energy, metals, and commodities. Its platform enables companies to track product-level carbon intensity and comply with emerging trade regulations.

The system uses algorithmic modeling and automated data pipelines to calculate emissions across complex global supply chains. These AI-supported workflows allow near–real-time carbon accounting for traded goods.

• Founder(s): Roheet Shah and Adam Hearne.
• Founding Year: 2019
• Headquarters: London, United Kingdom

12. Green Project Technologies

Green Project Technologies

Green Project Technologies specializes in enterprise carbon management and supply chain decarbonization software, helping organizations measure, manage, and reduce emissions across their operations and value chains. Its platform combines audit-grade carbon accounting, automated supplier engagement tools, and renewable energy procurement capabilities to support continuous, actionable carbon management rather than static reporting.

The company’s software uses AI, automation, and machine learning to automate emissions data ingestion, drive product carbon footprint (PCF) calculations, engage suppliers at scale, and support decarbonization planning. In 2025, Green Project Technologies expanded its capabilities through the acquisition of the Emitwise technology platform, integrating Emitwise’s automated supplier engagement and PCF tools into its broader carbon management suite.

• Founder(s): Sam Stark
• Founding Year: 2020
• Headquarters: New York, USA – with additional offices in London, Amsterdam, and Singapore

13. Isometric

Isometric Logo

Isometric operates a carbon removal registry designed to improve transparency and integrity in carbon markets. The platform focuses on high-quality measurement, reporting, and verification for carbon removal projects.

Automation is central to Isometric’s MRV approach, enabling standardized data collection, verification workflows, and audit trails. This infrastructure supports scalable and trustworthy carbon removal accounting.

• Founder(s): Eamon Jubbawy
• Founding Year: 2022
• Headquarters: London, United Kingdom

14. Climeworks

Climeworks

Climeworks designs and operates direct air capture plants that remove carbon dioxide directly from the atmosphere. Its facilities capture CO₂ for permanent storage or utilization, contributing to long-term carbon removal efforts.

The company relies on automated plant operations, sensor networks, and data-driven optimization to run DAC systems efficiently. These automated processes are essential for scaling carbon removal infrastructure.

• Founder(s): Christoph Gebald, Jan Wurzbacher
• Founding Year: 2009
• Headquarters: Zurich, Switzerland

15. Heirloom

Heirloom

Heirloom develops a novel direct air capture process based on accelerated mineralization using limestone. Its approach aims to reduce the energy intensity of DAC by leveraging natural chemical reactions.

Automation and continuous monitoring systems control the capture process, while data analytics support operational optimization. This technology-driven model enables scalable and verifiable carbon removal.

• Founder(s): Zack Bloom, Noah McQueen, Shashank Samala.
• Founding Year: 2020
• Headquarters: San Francisco, California, USA

16. Carbon Clean

Carbon Clean

Carbon Clean provides modular carbon capture solutions for industrial facilities such as cement plants and refineries. Its systems are designed for rapid deployment and integration into existing operations.

The company uses automated monitoring and process control systems to optimize capture efficiency and operational performance. These technologies enable continuous carbon capture in industrial environments.

• Founder(s): Aniruddha Sharma, Prateek Bumb
• Founding Year: 2009
• Headquarters: London, United Kingdom

17. Svante

Svante

Svante develops solid sorbent-based carbon capture systems for industrial emitters. Its technology captures CO₂ using structured filters designed for high efficiency and durability.

Automation and digital monitoring are embedded in Svante’s capture systems, enabling precise control and performance optimization. These capabilities support scalable deployment across industrial sites.

• Founder(s): Brett Henkel
• Founding Year: 2007
• Headquarters: Burnaby, Canada

18. Charm Industrial

Charm Industrial

Charm Industrial removes carbon by converting biomass into a stable bio-oil that is permanently stored underground. This approach addresses emissions from agricultural and forestry residues.

The company operates automated conversion and logistics systems supported by data-driven planning tools. These systems enable scalable carbon removal across distributed biomass sources.

• Founder(s): Peter Reinhardt
• Founding Year: 2018
• Headquarters: San Francisco, California, USA

19. CarbonCure Technologies

CarbonCure Technologies

CarbonCure integrates carbon dioxide into concrete production, permanently mineralizing CO₂ while improving material performance. Its technology is deployed across hundreds of concrete plants worldwide.

Automated injection systems and data analytics optimize CO₂ usage in real time. This operational technology enables measurable emissions reductions within the construction industry.

• Founder(s): Robert Niven
• Founding Year: 2012
• Headquarters: Halifax, Nova Scotia, Canada

20. Aclima

Aclima

Aclima develops advanced emissions measurement systems focused on detecting and mapping greenhouse gases and air pollutants at high spatial resolution. The company works with governments, utilities, and research institutions to quantify emissions from transportation corridors, industrial zones, and urban infrastructure, supporting more accurate carbon inventories and mitigation planning.

Aclima’s platform relies on machine learning and automated data processing to analyze measurements collected from mobile sensors, fixed networks, and environmental datasets. These AI-driven models generate granular emissions maps that reveal localized carbon and methane sources, enabling continuous monitoring and data-backed policy and operational decisions.

• Founder(s): Davida Herzl
• Founding Year: 2007
• Headquarters: San Francisco, California, USA

Conclusion

Carbon management in 2026 is no longer defined by targets alone. The companies highlighted in this article show how AI, automation, and machine learning are being applied to measure emissions more accurately, reduce them more effectively, and verify outcomes with greater transparency.

Rather than speculative technologies, these are operating systems already running in real environments tracking emissions, optimizing industrial processes, managing carbon removal, and supporting enterprise decision-making at scale.

As climate and regulatory pressures continue to increase, organizations that treat carbon management as an operational capability rather than a compliance exercise will be better positioned to adapt. For those exploring how applied AI can support this transition, Omdena works with partners across sectors to turn carbon data, automation, and machine learning into measurable climate impact.