Deciphering the intelligence of our planet.

Advancing how we see, value, and restore the living systems that sustain us.

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The platform

A platform purpose-built for planetary tensor data.

Build and serve climate and environmental data products, run operations, and produce digital MRV, all on one analysis-ready foundation.

Multimodal

Multimodal data, ready to use

Satellite, airborne and field data, organised and analysis-ready, from a single site to a whole region.

Easy access

Fits the tools you already use

Pull exactly what you need through open standards or Python, into your notebooks, dashboards and maps.

Traceable

Every result traces to source

Risk maps, forecasts and reports, with every value traceable to its input data, for carbon credits, compliance, and more customised needs.

Unified & governed

One source of truth

Central access, cataloguing and version history, so everyone works from the same data.

Built for AI

Keeps up with your models

A cloud-native engine tuned for heavy AI and analytics workloads that scales as your data grows.

Production-ready

From dataset to data product

Analyse with your own tools, then publish and share through standards-based access.

Developing a coffee-agroforestry carbon model.

A carbon model for coffee agroforestry while restoring the ecosystem the right way — rebuilding the biodiversity, soil and hydrology degraded by construction, monoculture farming and human activity.

Quantifying green assets at landscape scale.

ML/AI solution purpose-built for Southeast Asia's forests and natural landscapes — scalable, airborne quantification of green assets and their value trends.

Streamlining environmental impact assessment.

Automated workflows that make environmental data near-real-time, lower-cost, and available wherever it's needed.

Latest Research

Science in the open.

2026 · 07Hong KongTerritory-wide forest carbon — 15% lower error, 12% overestimate corrected 2026 · 07Hong KongLittle Egret habitat suitability — species distribution from satellite embeddings 2026 · 07Hong KongTerritory-wide methane atlas — WENT & NENT landfills, Tier-1 retrieval 2026 · 06Pu'er, YunnanEcosystem integrity index from SEEA condition dimensions 2026 · 05MacauEnvironmental-impact verification for coastal reclamation 2026 · 03Pu'er, YunnanCoffee agroforestry carbon corridor — canopy & soil baseline
Team

Built by ecologists, data scientists and operators.

A core team across remote sensing, biodiversity modelling and field deployment — paired with research partners and advisors at leading institutions.

AT

Prof. Amos P.K. Tai

R&D Partner

Professor of Earth & Environmental Sciences, CUHK.

CUHK profile →
HZ

Dr. Hao Zhou

Chief Environmental Scientist

Earth ecosystem & atmosphere modelling.

CUHK profile →
HW

Haoran Wang

Founder · Remote Sensing

Leads product, R&D direction and GTM.

LinkedIn →
HZ

Dr. He Zhang

Chief Remote Sensing Data Analyst

Machine learning applied to environmental science.

LinkedIn →
WL

Prof. Wanxin Li

R&D Partner

Associate Professor, School of Energy & Environment, CityU HK.

CityU profile →
Advisors
AK

Abdullah Al Kazaz

Regional Marketing Advisor · Europe & Middle East

Advises on market strategy.

JW

Prof. Jin Wu

Ecological Science Advisor

Associate Professor, School of Biological Sciences, HKU.

HKU profile →
Backed by
Inception / Activate
Now onboarding

Join the pilot.

We're working with a small group of researchers and site partners to put analysis-ready planetary data in their hands. Tell us what you'd measure first.

Join our pilot scheme →
Pilot scheme

Join the Dycepher pilot.

Tell us a little about you and the site you'd like to work on — we typically reply within one business day.

We'll only use your details to respond to your pilot enquiry.

Application received.

Thanks — we've got your details and will be in touch within one business day.

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