AI-native intelligence infrastructure for the $7 trillion clean economy.
Portfolio companies make sustainability commitments across dozens of reports, sites, and disclosures. No one has a unified view of what's actually been said — let alone what's being done.
Traditional consulting engagements deliver thick decks 8–12 weeks after kick-off. By then, regulations have moved, the market has shifted, and the window for action has narrowed.
Generic LLMs fabricate sources, miss context, and can't distinguish a binding regulatory obligation from a voluntary framework. The stakes in the clean economy are too high for that.
Taza's AI engine maps the sustainability landscape from four angles — what you say, what others see, what regulators require, and who can help. Each product answers one question. Together, they compound into intelligence no single report can deliver.
What do you say about sustainability?
What does the world say about you?
What do regulations require of you?
Who can help you close the gaps?
Mary's career was built in critical infrastructure for Power & Utilities — the systems that keep economies running. She went on to become the Founding Head of Sustainability & Climate Tech at AWS, where she saw firsthand how the world's largest enterprises struggle to connect sustainability ambition to execution.
The pattern was always the same: companies had commitments, regulators had requirements, consultants had reports, and solution providers had tools — but no one had the intelligence layer connecting them all.
She built Taza to be that layer. One AI engine that maps what companies say, what the world sees, what regulations require, and who can help — turning months of discovery into days of decision-ready intelligence.
Taza is registered in both Spain and the United States, positioning the company at the center of the EU's accelerating regulatory landscape and the world's largest enterprise market.
Start with one question. Build toward continuous intelligence.