Making decarbonization
intelligence more
transparent, consistent,
and accessible.
CarbonAI was created to make complex carbon market and decarbonization intelligence easier to access, understand, and verify. We combine specialist AI, proprietary analytics, and structured climate data to turn fragmented information into evidence-backed intelligence for better decisions.
Meet the teamDecarbonization intelligence at scale.
CarbonAI combines project-level analysis, structured market data, regulatory intelligence, and global climate and development data across the decarbonization landscape.
- 11,000+
- Carbon projects rated
- 4M+
- Structured datapoints
- 300K+
- Documents analyzed
- 200+
- Countries and regions analyzed
- 1,000+
- Development indicators
Built around a simple idea: climate and carbon market intelligence should be easier to find, compare, and trust.
Why we built CarbonAI
Born from frustration.
Built for clarity.
Decarbonization decisions depend on information scattered across registries, standards, methodologies, regulations, project documents, corporate disclosures, and market data. Finding the information is possible. Comparing and verifying it efficiently is much harder.
CarbonAI was built to solve that problem. What began with carbon market intelligence has grown into a specialist research and analytics system for decarbonization decisions, combining proprietary ratings, indices, market data, and AI research while keeping the underlying evidence visible.
What guides how we build.
Four principles shape how we build CarbonAI, work with evidence, and handle customer data.
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01
Transparency by default
Every CarbonAI answer is designed to show where the evidence comes from. Sources, rating methodologies, and underlying data remain visible, so conclusions can be independently reviewed.
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02
Evidence before opinion
CarbonAI researches specialist sources, structured datasets, and primary documentation before drawing conclusions. AI accelerates the work, but evidence remains the foundation.
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03
Independence and integrity
CarbonAI does not buy or sell carbon credits or develop carbon projects. Our role is to provide independent intelligence that helps users form their own view of projects, markets, and decarbonization risks.
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04
Privacy by design
Customer conversations and uploaded documents are never used to train AI models. Uploaded files remain private and are deleted after 48 hours.
Our digital footprint.
We apply the same evidence-first thinking to the infrastructure that runs CarbonAI.
100% renewable electricity matching
CarbonAI’s AI workloads run in a data center region where electricity consumption is matched with 100% renewable electricity using high-resolution energy matching.
Efficient cooling
The region uses outside-air cooling for much of the year, reducing reliance on water-intensive cooling systems.
Infrastructure choice matters
No AI system is impact-free. Choosing lower-carbon electricity, efficient cooling, and infrastructure with lower water demand is one practical way we reduce the footprint of operating CarbonAI.
The people behind CarbonAI
CarbonAI brings together expertise in carbon markets, decarbonization and sustainability, data science, AI, software engineering, and commercial strategy.
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Adebola Ayoola Ibiyode
CEO
Technology and AI leader with 15 years’ experience spanning engineering, enterprise software, and climate technology.
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Damla Arifoglu, PhD
Head of Data Science
Data science and AI specialist with 15 years’ experience across academia, legal technology, and climate intelligence.
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Lukasz Mazur
Head of Strategic Growth
Commercial and strategy leader with a background in finance, scaling technology platforms, and building high-growth businesses.
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James Watson
Head of Engineering
AI and software engineering specialist with deep experience in full-stack development, applied AI, and cloud architecture.
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Fiona Ribbins
Sustainability & Growth
Sustainability and business development specialist with 10 years’ experience across low-carbon and environmental markets.
What makes CarbonAI different.
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Specialist intelligence
Built around carbon markets, decarbonization, regulation, project integrity, climate policy, and specialist datasets rather than generic web knowledge.
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Proprietary analytics
CarbonAI ratings, impact indices, pricing intelligence, and structured datasets add proprietary analysis beyond public search.
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Agentic research
Specialist research agents plan, retrieve, cross-reference, and synthesize evidence across multiple sources to produce referenced analysis.
See CarbonAI in action.
See how CarbonAI brings project intelligence, market data, regulatory research, proprietary analytics, and traceable evidence together in one decarbonization intelligence system.