The Ecosystem Data Infrastructure for the Amazon Rainforest
CeibaQ uses direct field data and proprietary AI models to generate quantified ecosystem outcomes for the Amazon Rainforest — the evidence layer governments, markets, insurers and scientists rely on to verify, price, account for and model nature.
Satellites see the canopy. CeibaQ measures what is happening beneath it — which species remain, whether soil and water are intact, whether the forest is recovering or quietly dying.
That gap is why nature markets keep failing the trust test. You cannot price, insure, finance or account for what you cannot truly see. CeibaQ does not solve additionality by claim — it makes ecological quantification independently verifiable.
We start where it matters most — and where the data is scarcest.
We know more about the surface of Mars than about the living world hidden beneath the Amazon’s canopy.
of carbon stored — one of Earth’s largest living reserves
of all the freshwater Earth’s rivers carry to the ocean
~200,000 m³/s into the Atlantic, every second
of regional rainfall, in parts — the forest makes its own rain
of modern medicines trace to rainforest plants — most flora never studied
Tens of thousands of species remain undescribed; vast areas have never been scientifically surveyed. The richest ecosystem on the planet is the one we understand least — and the one capital cannot yet see.
~17–20% of the forest is already gone. At ~20–25% scientists warn it could tip into savanna — releasing over 200 billion tonnes of CO₂.
You cannot protect, price, or finance what you cannot measure.
That is why CeibaQ starts in the Amazon.
Compatibility, not endorsement.
The evidence behind credible national accounts, Article 6.2 transfers and results-based finance.
Ecosystem-state monitoring built into projects — beyond what cover can prove.
Calibrated, un-scrapeable state data that turns nature risk into something underwritable.
Audit-grade ground truth that makes nature outcomes bankable.
The ground-truth reference that calibrates every model built from above.
Field-grade Amazon data for scientific research and environmental-AI training.
We do not issue credits. We do not define standards. We supply the evidence layer they rely on.
Flux towers for direct carbon, greenhouse-gas and climate measurement; eDNA for species detection; bioacoustics for wildlife and threat monitoring; drones for LiDAR 3D mapping and plant inventory; satellite for spatial coverage — all connected through a network of Intelligence Nodes.
Field measurements are calibrated and extended across the forest by proprietary AI with quantified uncertainty — creating a queryable model of ecosystem conditions that can be independently verified by accredited third parties.
Continuously updated, queryable on demand, and built to provide verified ecosystem-state data over time.
Query a deployed node
Biodiversity, carbon flux, micro-conditions and integrity — streamed from the forest floor, the way ROOT is fed.
SIMULATION — illustrative; no node deployed yet.
A proprietary, field-based ground truth that cannot be scraped, copied or rebuilt remotely.
Every sale sharpens the model and makes the next one cheaper to serve. Competitors in ratings, satellite analytics and environmental data become customers — they have to calibrate to the ground.
Nature has never been queryable. CeibaQ makes it so — Query it, Quantify the answer, Quality-assure it to the point of proof, at the frontier of science.
CeibaQ is designed for integration with national forest-monitoring systems — with Free, Prior and Informed Consent from local and Indigenous communities, compliance with the Nagoya Protocol where applicable, and benefit-sharing by design.
15+ years in environmental projects · former forestry & ecological-policy advisor to Ukraine’s Office of the President · FORBES-recognised for environmental innovation.
Financial & investment professional — fintech, alternative investments and startup finance.
Biologist · Head of the Ukrainian Antarctic Research Station.
Professor, UNAP (Peruvian Amazon) · forest engineer & biologist.
Architect of Peru’s environmental governance; natural-capital authority.
Architect of Peru’s REDD+ framework; Amazon-governance authority.
Former key advisor to PROFONANPE · conservation finance at scale.
Senior public-sector & ocean-governance leader.
The Amazon Rainforest,
measured from within.
Directly-measured ground truth, turned into a verified reference the whole nature-capital market can rely on. Request access to the confidential investor data room.
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