11,000+
transparent, comparable ratings delivered across major carbon projects
Making sustainability intelligence more
transparent, consistent,
and accessible.
CarbonAI was created to make complex sustainability and carbon market intelligence easier to access, understand and verify. We combine agentic AI, proprietary analytics, and specialist sustainability data to turn fragmented information into transparent, decision-ready intelligence.
› Meet the team
CarbonAI at a Glance
Sustainability Intelligence At Scale
4M+
structured datapoints transforming fragmented information into actionable intelligence.
200+
global regions analysed across climate, sustainability, and development dimensions
300K+
project documents, methodologies, and sustainability publications continuously analysed
1000+
development indicators providing deep insight into sustainability performance and need
2021
Founded with a single mission: make sustainability data work for the people who need it most.
Why we build CarbonAI
Born from frustration.
Born from frustration.
Built for clarity.
Sustainability professionals work across an increasingly complex landscape of registries, standards, methodologies, regulation, scientific research, corporate disclosures, and market data. The information exists, but it is fragmented across thousands of sources, difficult to compare, and often time-consuming to verify.
CarbonAI was built to change that. We bring specialist sustainability intelligence, proprietary analytics, and agentic AI together in one platform, helping professionals move from complex questions to transparent, evidence-backed answers more efficiently. What started with carbon markets has developed into a broader sustainability intelligence platform spanning research, project ratings, market data, impact analysis, ESG risk, and corporate sustainability workflows.
Better decisions start with better evidence.
CarbonAI is designed to make the evidence behind sustainability decisions easier to find, compare, and verify. AI helps us work at scale. The underlying data, sources, and methodology remain visible.
What guides how we build
Four principles shape the way we approach our platform, our data, and the intelligence we provide.
Transparency by Default
Every insight we produce comes with full source citations. Users can trace every answer back to its origin, review the underlying evidence, and verify conclusions independently. No black boxes ever.
Evidence Over Opinion
CarbonAI retrieves and analyses specialist sources, structured datasets and relevant primary documentation before drawing conclusions. AI helps us research and synthesise information at scale, but the evidence remains the foundation.
Independence & Integrity
CarbonAI does not buy or sell carbon credits and does not develop carbon projects. Our role is to provide consistent, transparent intelligence that helps users form their own view of projects, markets and sustainability risks.
Privacy by Design
Customer conversations and uploaded documents are not used to train our AI models. Uploaded files remain private and are automatically removed from our systems after 48 hours.
Our Digital Footprint
100% Renewable Electricity
CarbonAI’s AI workloads are matched with 100% renewable electricity through a best-in-class hourly matching approach, helping reduce the carbon intensity of the infrastructure behind our platform.
Lower Water Use
Our data center region uses outside-air cooling for most of the year, significantly reducing reliance on water-intensive cooling and lowering the water footprint associated with running our AI infrastructure.
A Deliberate Choice
No AI system is impact-free. Choosing a data center region with cleaner electricity, efficient cooling, and lower water demand is one practical way CarbonAI reduces the environmental footprint associated with running its platform.
Our Leadership
The people behind CarbonAI
CarbonAI brings together expertise across sustainability, carbon markets, data science, AI, and software engineering, united by a common objective: making complex sustainability intelligence more transparent and useful.
Adebola Ayoola Ibiyode
CEO
Technology, and AI leader with 15 years’ experience spanning engineering, enterprise software, and sustainability.
Damla Arifoglu, PhD
Head of Data Science
Data science, and AI specialist with 15 years’ experience across academia, legal technology, and climate intelligence.
Lukasz Mazur
Head of Strategic Growth
Commercial, and strategy leader with a background in finance, scaling technology platforms, and building high-growth businesses.
James Watson
Head of Engineering
AI, and software engineering specialist with deep experience in full-stack development, applied AI, and cloud architecture.
Fiona Ribbins
Sustainability & Growth
Sustainability, and business development specialist with 10 years’ experience across low-carbon and environmental markets.
Purpose-built for sustainability intelligence.
CarbonAI combines specialist sustainability data, agentic AI research, and proprietary analytics to turn fragmented information into transparent, decision-ready intelligence.
Structured Sustainability Intelligence
CarbonAI brings together and structures specialist sustainability information, from carbon project documentation and registry data to methodologies, standards, and global development indicators.
Agentic AI Research
CarbonAI's research agents retrieve, cross-reference, and synthesize evidence across multiple sources, iterating when additional information is needed and returning referenced analysis.
Proprietary Analytics
Our ratings, risk scores, and Impact Indices transform underlying evidence into consistent, comparable intelligence across projects, countries, technologies, and sustainability themes.
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