The Carbon Platform

We start with the philosophy of "that which gets measured gets improved", and today it is extremely difficult to find reliable product carbon footprint information and essentially impossible to compare between products. Thus the approximately 20% of US consumers that are highly interested in reducing their carbon impact are prevented from doing so. By providing a reliable carbon footprint “nutrition label” for consumer products, we can create a metric for sharing and exchange, as well as a trusted standard for validation and verification. US household annual discretionary spend is ~$5.5 trillion (US Bureau of Economic Analysis). Approximately 15% of this is spent online ($800 B). For the 20% of consumers that are interested in taking low-carbon action this is a $160 B market.

For Enterprises the overwhelming majority simply do not have the time, financial resources, nor supply-chain visibility to produce carbon footprints for all of their products. The ability to have a product carbon footprint would enable action to use lower carbon materials, manufacturing, and logistics methods to produce lower carbon products in response to Consumer demand. This in turn would result in a larger variety of low-carbon products creating a virtuous Consumer demand-Enterprise supply cycle. For businesses we see a 2% transaction fee given value at stake but costs to companies for non-compliance could be much higher e.g., US export to Europe.

Our technology innovation is a fully-automated system for estimating the carbon footprint of any manufactured good that is orders of magnitude faster than what is available today and is self-checking and updating. In addition, our innovation can then also provide insight into supply chain robustness and tariff exposure. The system will collect and organize structured and unstructured data at scale, using both curated datasets and automated web searches. This is followed by pattern-matching product identification, automated material decomposition, manufacturing breakdown, and logistics mode enumeration. If successful, we will be able to provide a reliable CO2e estimate for any product in seconds.

A system with our innovation’s features has not been successfully created before. Other current approaches still have several very manual components. The methodologies for estimating carbon footprints (e.g. ISO 14067) are extremely complex and typically take about 20 weeks to apply. Our technology innovation leverages recent advances in large language models  to enable automatic analysis and summarization of individual steps in the manufacture and transport of goods.  By globally structuring the queries but locally applying the language model to process unstructured data, we have automated the entire estimation process via our novel AI architecture that can produce an estimate without human intervention in several seconds and maintain an equivalent or better level of accuracy.

The approximately 20% of US consumers that are highly interested in reducing their carbon impact are prevented from doing so. By providing a reliable carbon footprint “nutrition label” for consumer products, we can create a metric for sharing and exchange, as well as a trusted standard for validation and verification. US household annual discretionary spend is ~$5.5 trillion (US Bureau of Economic Analysis). Approximately 15% of this is spent online ($800 B). For the 20% of consumers that are interested in taking low-carbon action this is a $160 B market.

For Enterprises the overwhelming majority simply do not have the time, financial resources, nor supply-chain visibility to produce carbon footprints for all of their products. The ability to have a product carbon footprint would enable action to use lower carbon materials, manufacturing, and logistics methods to produce lower carbon products in response to Consumer demand. This in turn would result in a larger variety of low-carbon products creating a virtuous Consumer demand-Enterprise supply cycle. For businesses we see a 2% transaction fee given value at stake but costs to companies for non-compliance could be much higher e.g., US export to Europe.

Attacking climate change at scale is a behavioral change problem. Like weight loss or learning a new language, a systemic process and reward structure is required to create sustainable progress. However, people are inherently consumers which is fundamentally at odds with the need to reduce consumption to truly combat climate change. Taking the philosophy that one has to start somewhere and every little action starts to add up, we draw from behavioral psychology and start with small nudges enabled by the product carbon footprint information from our AI model. 

On the B2C side have built and launched an ecommerce marketplace platform with 25 suppliers and 1,000+ products that we have calculated the carbon footprint for. Initial friends and family sales, and currently working on optimizing marketing and advertising campaigns. On the B2B side have ongoing conversation with a large global industrial manufacturer. 

In addition to raising funds, access to additional technical resources to scale and parallelize our current AI model and database.