LCAs are great for understanding impact crade-to-cradle. But for measuring variation in a process, we remove the statistical noise from the product.
Meet your net-zero project manager.
Sustainable production is only possible when engineers have integrated data on compliance, costing, environmental, health, and safety criteria.
From simple CarbonCAD, process designers are provided clear and actionable insights so they can decide how to improve process sustainablity.
Each project is a product of its broader intiative and both host a unique suite of KPIs relevant for sustainability-linked debt disclosure.
Instead of forcing teams through box ticking exercises with templates copy and pasted from disclosure boards - distill only the relevant KPIs and focus the team on those.
Labeling a project as sustainable requires passing through hundreds of seqential project gates. These gates are located in different teams and business scientists guide projects to the right gates at the right time.
Climastry automates 90% of the gates with generative AI so theres less back and forth and greater alignment on a "correct" sustainable action.
Continuous Improvements (CI) counsin that just seems to be better at everything.
ClimateGPT helps business scientists leverage traditional CI methodologies like PDCA and DMAIC to iterate on sustainability strategies, initatives, and projects.
*CI intiatives on individual projects with emissions credits that have not retired can be subject to repricing.
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