Optimize your decarbonization strategy
with Carbon Cipher's data analysis .
Carbon Cipher is a data platform that utilizes visualized CO2 emissions data to support optimal decarbonization strategies for your company.
Optimize your decarbonization strategy
with Carbon Cipher's data analysis .
Carbon Cipher is a data platform that utilizes visualized CO2 emissions data to support optimal decarbonization strategies for your company.
Labor-saving in every step
from setting up the calculation methods to calculating emissions.
There are a lot of functions such as the self-diagnosis function in the form of Q&A to determine the calculation method,
and automatic input function by image reading,
and automatic input alerts for manual input.
Collaborate with the Carbon Cipher Inc.
to connect the decarbonization cycle.
Try our service for free for 2 months.
Except for the visualization of carbon dioxide emissions on the dash-board, the self-diagnosis function can also be utilized to give suggestions on the framework, in order to set the calculation target as well as its range.
The system can automatically scan images and link them to the core system, eliminating the time for manual input.
Our system currently supports Chinese and plans to support multiple languages in the future.
Our proprietary calculation tools can identify projects that can be subtracted according to the derived emissions information from the supply chain.
Our company has abundant resources in global enterprises, and we can introduce you to firms that provide solutions in carbon dioxide emission reduction.
Our consultants have rich experiences in acquiring subsidies from the Ministry of the Environment abroad, and we can also provide you financial supports.
The emissions data of SCOPE 3 is generally a calculated secondary data based on procurement data and other data that are offered by the company. Since these results are obtained based on industrial standard values, the calculated emissions are often higher than their actual values. However, Carbon Cipher can obtain primary data by raising requests to other companies. In this way, to reduce your supply chain emissions by simply converting theoretical values to actual values.
