About

Codos platform motivates people all around the world to shift their commuting patterns away from regular combustion engine cars, towards environmentally friendly modes of commuting. The Codos App uses machine learning and AI to automatically detect the form of transport you are using in a privacy-preserving way, in order to measure the avoidance of CO2 compared to using a car. Read more

CASE STUDY DETAILS

Codos Foundation

Seed to Series A Startup

., Switzerland

Project work

6 - 10 people

6 - 9 Months

€250 - 1M

Scrum

FOCUS AREA

Challenge, approach, and impact

  • The challenge

    Reasonfield Lab by SoftwareMill was to create an end-to-end solution for the Codos Foundation, which involved detecting transportation modes based on data from mobile phones. The goal was to calculate CO2 emission avoidance to reward users for sustainable commuting. The project required high precision in machine learning models and handling continuous mobile sensor data. Understanding the spatial context was crucial since user motion occurs in cities, making the task a challenging combination of science and engineering.

Testimonials

Two blue lines

“...“ Read more

***** *****

CEO at Codos Foundation

VERIFIED

Two blue lines

“...“ Read more

***** *****

CEO at Codos Foundation

VERIFIED

Two blue lines

“...“ Read more

***** *****

CEO at Codos Foundation

VERIFIED

Two blue lines

“...“ Read more

***** *****

CEO at Codos Foundation

VERIFIED

Two blue lines

“...“ Read more

***** *****

CEO at Codos Foundation

VERIFIED

Two blue lines

“...“ Read more

***** *****

CEO at Codos Foundation

VERIFIED

Team Structure

Client Team

Daily point of contact

*****

CEO

***** *****

The client stakeholders at Codos Foundation were working closely with the team at SoftwareMill

Client logo

Vendor Team

Production

1 x Architect

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