As we built our new organization, we took a moment to reflect. Here are three questions we’ve asked ourselves, along with the insights that will shape our strategy going forward.
After 150+ conversations, one thing is clear: frontrunners invest in strong data foundations, and that takes time. GSK has set a 100% reduction target for net water withdrawal from a critical U.S. basin. They can aim for such an ambitious goal because they can actually steer progress. Dedicated sustainability data architects enabled access to the right data faster and more streamlined. Kering became the first company to set Science-Based Targets for specific landscapes in its value chain. This wasn't a one-off achievement, but the result of 10 years of refining their proprietary Environmental Profit & Loss (EP&L) platform.
Consistent iteration is a powerful approach.
We build a flexible data setup that can process data of varying quality, allowing companies to get started right away. Smart data recommendations can then prioritize efficient improvements. This combination creates a flywheel for fast, iterative learning.
Large language models (LLMs) like ChatGPT are very powerful, but prone to hallucinations and unpredictable behavior. These are serious issues for sustainability reporting, where traceability and accuracy are critical.
That’s why tools like Perplexity, which provide sources and follow-up questions, caught our attention. They are more transparent and provide guidance.
We’re exploring AI agents to assist sustainability teams with day-to-day challenges like:
From the start, we have partnered with consultancies. Whether a company needs software or consultancy support depends on the specific challenge they’re facing.
Software excels at:
Sustainability Software excels at:
Expert Consultancy excels at:
We built features that harness the strengths of software while collaborating with experts to complement our services. That way, our users don’t have to choose between powerful tools and real-world wisdom, they can have both.
These questions, and many more, are shaping our product. What other questions do you think we should ponder upon?