Keeling Curve

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Project Summary / Description:

Corporate supply chain and corporate sustainability teams are small and overburdened as they are required to survey each supplier to find data in order to meet the data requirements of current regulations (from EU Deforestation regulation to Canadian Forced Labor regulation). This is a costly and time-consuming process for both the organization and their suppliers. Existing data solutions that try to automate this only cover ~40% of global supply chain data.

We use an agentic model (artificial intelligence) to identify the gaps in the supply chain through a 'conservation of mass for the economy' model we have invented (patent pending). Through the bill of lading (customs data) and bill of material (product ingredient list), we can deduce what is missing. Then, we scrape pre-qualified (by our human data team) databases, both proprietary and public, and find this information, validating it, and then submitting it to our living map of global resources.

Our primary users are procurement and sustainability leaders in major automotive companies, OEMs and Tier 1s. We help them map out their full end to end supply chain, and decarbonize. The decarbonization opportunity here is 1 Trillion tonnes.

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Our product is offered as several toolkits, each with a Map view, metrics tracker, forecaster, action planner, and reporter.

We offer traceability, greenhouse gas emissions, and procurement software toolkits to our users. These help users apply our agentic model (AI) backend into real decisions that can impact their sustainability, and to track these implementations' impacts.

Our supply chain transparency tool is unique in having a map view, metrics tracker, and flow view (tree map). Customers monitor their organization, relevant assets, products, and upstream supply chain partners through their dashboards.

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Transparency at this radical level connects large, powerful multinational organizations like Toyota and Mazda to indigenous, POC, and vulnerable communities where raw materials often come from, and manufacturing often happens. This allows them the visibility to see what risks, social and environmental, affect these persons and therefore are salient to their business. This connectivity incentivizes large, well funded organizations to support these communities in their success and development of essential resources such as education, health services, and environmental protections.

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