Top 10: AI Platforms for Sustainability

As the world confronts climate change and escalating environmental challenges, AI-powered platforms are becoming essential tools for sustainability. 

They allow organisations to measure carbon emissions, monitor ecosystems and manage complex data with unprecedented speed and accuracy. 

Beyond reporting, these technologies enable proactive decision-making, helping businesses reduce environmental impact while maintaining operational efficiency. 

By harnessing advanced analytics and automation, AI is transforming how enterprises approach sustainability, turning ambition into actionable, measurable progress.

10. DitchCarbon

Founded: 2021 
Employees: <50
CEO: Marc Munier
Revenue: N/A

DitchCarbon focuses on automating Scope 3 emissions tracking across supply chains, an area many organisations struggle to quantify. 

Its AI models estimate supplier emissions even when data is incomplete, enabling faster and more accurate reporting.

Particularly suited to mid-sized enterprises, DitchCarbon offers a pragmatic approach to carbon accounting without requiring heavy system integration.

It also supports supplier engagement by enabling companies to collaborate directly with partners to improve data quality and drive emissions reductions, strengthening transparency across the value chain.

9. Arundo Analytics

Founded: 2015
Employees: ~50
CEO: Martin Lundqvist
Revenue: N/A

Arundo Analytics delivers AI-powered predictive analytics for industrial and energy companies, helping them monitor environmental and operational performance. 

By combining IoT sensor data with advanced machine learning, the platform forecasts emissions, detects anomalies and provides actionable insights for sustainability and regulatory compliance. 

Arundo enables companies to optimise operations, reduce environmental impact and respond quickly to risks, offering a modern, scalable alternative to traditional environmental intelligence platforms while maintaining enterprise-grade reliability.

8. SESAMm

Founded: 2014
Employees: 100+
CEO: Sylvain Forté
Revenue: N/A

SESAMm applies natural language processing to millions of data sources, including news and corporate disclosures, to generate real-time ESG insights. 

It uses AI to identify controversies and reputational risks early, making it particularly valuable for investors. 

The platform excels in breadth of data coverage, though it is more analytics-focused than operational.

SESAMm’s ability to process unstructured data at scale allows organisations to uncover hidden ESG risks and opportunities. This enhances due diligence processes and supports more informed, forward-looking sustainability and investment strategies.

7. Clarity AI

Founded: 2017
Employees: ~350
CEO: Rebeca Minguela
Revenue: N/A

Clarity AI provides detailed ESG analytics for institutional investors and enterprises. 

Its main strength lies in standardising complex sustainability data into comparable metrics, supporting regulatory compliance and investment decisions. 

With a strong presence in financial services, Clarity AI bridges the gap between sustainability performance and capital allocation.

The platform also supports scenario analysis and portfolio alignment with climate goals, helping organisations measure impact against global frameworks and refine long-term sustainability strategies with greater confidence.

6. Sweep

Founded: 2020
Employees: ~200
CEO: Rachel Delacour
Revenue: N/A

Sweep offers a modern, collaborative platform for managing carbon emissions across organisations and their supply chains. Its AI-driven data collection simplifies Scope 1, 2 and 3 reporting while enabling supplier engagement.

Designed with usability in mind, it stands out for its clean interface and API-first architecture, making it attractive to fast-growing companies.

Sweep also supports target setting and progress tracking, enabling organisations to align with net-zero commitments and regulatory frameworks. By improving data transparency and collaboration, the firm helps drive measurable emissions reductions across entire value chains.

5. Workiva

Founded: 2008
Employees: ~3,000
CEO: Julie Iskow
Revenue: US$885m

Workiva delivers a unified platform for ESG, financial and regulatory reporting. It enables organisations to connect disparate datasets into a single, auditable system, ensuring consistency across disclosures.

Particularly strong in compliance-heavy environments, Workiva supports frameworks such as CSRD and SEC requirements. Its maturity and reliability make it a preferred choice for large enterprises seeking robust governance.

The platform’s collaborative environment allows teams to work seamlessly across departments, improving data accuracy and accountability while reducing the complexity and risk associated with manual reporting processes.

4. Agentforce Net Zero (Salesforce)

Founded: 1999
Employees: 83,000+
CEO: Marc Benioff​​​​​​​
Revenue: US$41.5bn

Agentforce Net Zero from Salesforce is designed to help organisations measure, reduce and report carbon emissions across operations. 

The platform centralises sustainability data and integrates it with existing Salesforce workflows, enabling real‑time dashboards and automated reporting. 

With built‑in analytics and benchmarks, teams can prioritise reduction strategies and align climate action with business goals. Seamless integration with CRM and enterprise data makes Agentforce Net Zero particularly valuable for organisations seeking practical, operational visibility into their net‑zero journey.

3. Google Earth AI

Founded: 2008
Employees: ~200,000 (Google)
CEO: Sundar Pichai
Revenue: US$402.84bn (Alphabet)

Google Earth AI uses advanced geospatial AI to transform satellite and environmental data into actionable insights. Organisations can monitor land use, forecast floods and wildfires, track air quality and assess ecosystem health. 

Its natural language query capability allows rapid analysis at global scale, enabling sustainability planning, climate adaptation and disaster response.

Earth AI automates complex environmental monitoring that previously required bespoke systems, making it indispensable for research, public sector and enterprise sustainability initiatives.

2. Microsoft Sustainability Manager

Founded: 1975
Employees: 228,000
CEO: Satya Nadella​​​​​​​
Revenue: US$281.7bn

Microsoft’s Sustainability Manager sits at the core of its sustainability offering, providing a comprehensive solution for carbon accounting, data integration and regulatory reporting. 

Built on Microsoft’s cloud, it enables organisations to automate Scope 1, 2 and 3 emissions tracking while unifying data from multiple sources into a single, auditable system. 

The platform’s strength lies in simplifying complex reporting requirements and embedding sustainability into existing business workflows. While complemented by initiatives such as AI for Earth, the primary value is operational: helping enterprises move from fragmented data to consistent, decision-ready insights. 

This focus on usability, scale and integration makes it one of the most practical tools for large organisations navigating evolving ESG regulations.

1. IBM Environmental Intelligence

Founded: 1911
Employees: ~300,000
CEO: Arvind Krishna
Revenue: US$67.5bn

IBM leads the field with Environmental Intelligence, a comprehensive platform that combines AI, weather data and geospatial analytics to address climate and sustainability challenges. It enables organisations to model climate risks, optimise operations and improve resilience against environmental disruption. 

What sets IBM apart is its depth in predictive analytics, leveraging decades of expertise in data science and enterprise systems. The platform supports industries ranging from energy to agriculture, offering tailored insights at both global and local levels. 

By integrating sustainability into strategic decision-making rather than treating it as a reporting exercise, IBM positions itself as the most holistic and advanced solution in the market.