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Saphi · Sectors
Scientific advances earn their value when they reach the territory. Saphi carries ecological intelligence from the laboratory into the field, at the scale of working landscapes.
Saphi works with universities, laboratories, and the communities who steward the land, turning method into measurement and measurement into verified outcomes — powered by Antiari, the sovereign AI of the nature economy.
Scaling science beyond the lab
A continuous, multi-sensor data layer lets research operate in rigorous field settings at the scale of working landscapes.
Antiari produces the measurement and the verification. Value is released on verified outcomes, and returns reach the communities who steward the land. This is Productive Preservation Economics, and it gives research a path from a published method to a financed result on the ground.
Sources: UNEP State of Finance for Nature; CBD Kunming-Montreal Global Biodiversity Framework. Figures current as of mid-2026.
The partnerships
Saphi convenes the institutions and the knowledge holders whose work, combined, makes ecological intelligence usable at scale.
Universities
University departments contribute peer-reviewed method, study design, and the scientific rigor that keeps measurement defensible.
Laboratories
Laboratories supply the analytical backbone — soil and eDNA processing, bioacoustic classification, and the validation of remote signals against ground truth.
Communities
The communities closest to the land hold long-horizon ecological knowledge. Their observation grounds the data layer and their governance directs how it is used.
Sony Computer Science Laboratories
Synecoculture is the Sony Computer Science Laboratories and Saphi joint methodology for high-diversity agroecology, where dense ecological complexity becomes a productive and measurable system.
The instruments
Many sensing modalities feed a single AI and machine-learning layer, and that layer is open to scientific collaboration.
Remote sensing
Aerial and orbital imagery tracks canopy, land cover, and change across whole landscapes over time.
Bioacoustics
Acoustic recording detects species presence and activity, turning the soundscape into a measure of ecological health.
eDNA and soil
Environmental DNA and soil sampling read the biodiversity and condition that imagery alone cannot see.
Camera traps
Motion-triggered cameras record the species that move through a site, confirming presence over seasons.
Climatic parameters
Continuous climatic measurement situates every other reading within the conditions that produced it.
AI and machine learning
Antiari draws every modality into one model, where patterns become measurement and measurement is subjected to independent verification before it becomes verifiable evidence.
Indigenous data sovereignty
Data governance keeps decisions and benefits with the communities closest to the land.
A sovereign knowledge architecture treats community data as community property. The people who hold the knowledge decide how it is recorded, shared, and applied, and the value that follows from it returns to their stewardship. Independent verification at the point of measurement is what makes that promise durable, and it is the foundation on which every research collaboration rests.
Research and Innovation
Researchers, laboratories, and technology partners are invited to bring their method into the field with Saphi and Antiari.