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Most companies are trying to meet these requirements with tools and processes that weren't designed for them. Much of the data infrastructure built over the last decade was optimized for carbon, but today's frameworks demand a much wider range of outcomes, from water use and soil health to biodiversity indicators. The result: manual data wrangling, inconsistent reporting across programs, and outputs that don't map cleanly to what supply chain partners or internal ESG teams need. As the number of frameworks keeps growing, the problem only compounds.
Regrow was built to solve exactly this. Our platform:
- Pre-fills as much as possible from remote sensing and public data sources, minimizing the data collection burden on producers
- Collects any remaining practice and outcomes data from producers across carbon, water, and biodiversity outcomes
- Automates the analysis that teams typically spend weeks doing manually, freeing your team to focus on local validation, stakeholder alignment, and program design
- Provides consistent, credible reporting across all of your programs
In this webinar, we'll use SAI's Regenerating Together Framework as a concrete working example, walking through how Regrow supports end-to-end program execution and compliance reporting. Whether you're aligned to SAI, working toward SBTi targets, or responding to a custom ask from a major partner, the underlying approach is the same: rigorous data, flexible application.
Join us to walk away with a clear picture of what standards-aligned regen program execution actually looks like in practice and where Regrow fits in.
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