Empowering change-makers with
Empowering change-makers with cutting edge
cutting edge
AI Technology
AI Technology
01
Sprint
Understand the challenge, define the approach, and start building—fast and focused development from day one.
01
Sprint
Understand the challenge, define the approach, and start building—fast and focused development from day one.
02
Prototype
Create the first working version, test key concepts, and gather insights for improvement.
02
Prototype
Create the first working version, test key concepts, and gather insights for improvement.
03
Iterate
Refine and enhance the solution every week based on real-world feedback and data.
03
Iterate
Refine and enhance the solution every week based on real-world feedback and data.
04
Deliver
Run tests, validate performance, and scale towards full implementation.
04
Deliver
Run tests, validate performance, and scale towards full implementation.
What we do for you
What we do for you
Circular textile economy
Circular textile economy
Building the Circular Textile Economy.
Building the Circular Textile Economy.
Every year, billions of textiles are discarded due to inefficient sorting and processing. We are helping to change that. By developing advanced models for material recognition, we enable automated circular decision-making—determining whether textiles should be reused, recycled, or repurposed at scale. Our technology improves sorting efficiency, reduces waste, and helps create a continuous flow of textile resources for a more sustainable future.
Every year, billions of textiles are discarded due to inefficient sorting and processing. We are helping to change that. By developing advanced models for material recognition, we enable automated circular decision-making—determining whether textiles should be reused, recycled, or repurposed at scale. Our technology improves sorting efficiency, reduces waste, and helps create a continuous flow of textile resources for a more sustainable future.
Chain of custody
Chain of custody
Creating the Chain of Custody Platform for the Circular Economy.
Creating the Chain of Custody Platform for the Circular Economy.
A truly circular economy requires full transparency over material flows. We are developing a Chain of Custody platform that tracks and verifies every stage of the supply chain—from collection to reuse and recycling. By providing a real-time, verifiable record of where materials come from, how they are processed, and where they go next, we eliminate uncertainty and enable businesses to meet sustainability standards with confidence. This technology ensures that circularity is not just a goal, but a fully traceable reality.
A truly circular economy requires full transparency over material flows. We are developing a Chain of Custody platform that tracks and verifies every stage of the supply chain—from collection to reuse and recycling. By providing a real-time, verifiable record of where materials come from, how they are processed, and where they go next, we eliminate uncertainty and enable businesses to meet sustainability standards with confidence. This technology ensures that circularity is not just a goal, but a fully traceable reality.
Safeguard medication data
Safeguard medication data
Ensuring Medication Data Integrity
Ensuring Medication Data Integrity
At Code for Good, we are exploring how AI can help safeguard the accuracy and integrity of medication information. Our research focuses on leveraging machine learning and NLP to detect errors, inconsistencies, and missing data in pharmaceutical databases and supply chains. By cross-referencing medication details with official reference data in real time, AI could enhance medication safety, prevent labeling mistakes, and optimize inventory management. This approach not only improves patient safety, but also reduces waste and supply chain inefficiencies, paving the way for a more sustainable and reliable pharmaceutical sector.
At Code for Good, we are exploring how AI can help safeguard the accuracy and integrity of medication information. Our research focuses on leveraging machine learning and NLP to detect errors, inconsistencies, and missing data in pharmaceutical databases and supply chains. By cross-referencing medication details with official reference data in real time, AI could enhance medication safety, prevent labeling mistakes, and optimize inventory management. This approach not only improves patient safety, but also reduces waste and supply chain inefficiencies, paving the way for a more sustainable and reliable pharmaceutical sector.
Chamber of Commerce 95162003
We Build AI for a Sustainable and Responsible Economy.
Chamber of Commerce 95162003