“Agents is helping me save about 12 weeks per year, which means I’ve now got time to work on decarbonization strategy and energy efficiency projects across our sites.”
Stop wrangling data. Start driving change.
Meet your new sustainability AI agents: cleaning, correcting, and analyzing so you can turn messy data into clear progress.
Watershed agents demo: cycling through example prompts.
Clean my raw dataShow me emissions hotspotsAnalyze drivers of YoY change in footprint
Powering sustainability programs for
Any AI can make big claims. Watershed AI gets you results.
2 days
to finish their SB 261 report
6x faster
measurement with Watershed
3-5 hours
saved per week cleaning & transforming data
2 weeks
saved transforming data with agents
Give your sustainability team superpowers
And free them from spreadsheets.
Upload & process utility bills in seconds
Go from paper or PDFs to structured data 7X faster, with OCR and automatic anomaly detection.
Identify reduction levers and simulate impacts
Understand and compare impacts of reductions at the product level and across an entire portfolio.
Automatically reformat any file
In moments, turn messy data into clean, structured files that handle unit conversions, date formats, country codes, and more.
Ask any question about your data
No more waiting for weeks of analysis. Our agents analyze your data in seconds and provide structured answers you can share with stakeholders.
Start with a good first draft for any ESG report
Agents draft reports in the right format, using metrics and answers based on your data, then track changes as you edit.
Forecast the impact of every decision
Compare how actions across the supply chain affect product-level emissions.
Learn how Watershed can help you meet your goals
The leading platform for sustainability AI
Purpose-built tools to help sustainability teams move fast, without sacrificing data quality or control.
Agents to accelerate work
Delegate data cleaning, formatting, and analysis to purpose-built AI agents.
Intelligence to improve results
Draft reports using peer benchmarks and the most comprehensive climate databases.
Full controls for peace of mind
Get results you can trust with built-in human review and transparent calculations.
Before, the data process was incredibly manual and time-consuming. Now, with the agent, we’re able to take care of all those manual and time-consuming parts within one session. Gap filling, estimating, anomaly detection: all of that Watershed agents can do in a snap.
AI fellowship
Become the AI expert your sustainability team needs.
The Watershed AI Fellowship is an accelerated program for sustainability professionals to go beyond the conceptual and work directly with Watershed's technical leadership to build, refine and document AI workflows for your company. Open to Watershed customers.
Science-backed, AI-accelerated
Science-backed, AI-acceleratedNot all sustainability AI is created equal
Watershed pioneered a sustainability-centered approach to deploying artificial intelligence. Our customers control their data, with transparency and governance at every step.
Encoded sustainability intelligence
Based on decades of data and research from our science team.
Safeguards for greater accuracy
Built with multiple agents to enforce accuracy and remove confirmation bias.
Transparency + explainability
Trackable data points to understand the approach, every step of the way.
Human control and refinement
Review and refine inputs to make results accurate and actionable.
Advancing the field of sustainability AI
Scientists and AI engineers at Watershed publish research advancing the capabilities, performance benchmarks and reliability of sustainability AI.
Criteria for credible AI-assisted carbon footprinting systems: The cases of mapping and lifecycle modeling
Built with sustainability intelligence
ATLAS: A spend classification
benchmark for estimating scope 3 carbon emissions
An LLM-based approach to creating a carbon emissions reduction levers library at scale
In our use of AI, we optimize for performance and efficiency and regularly evaluate the field of technology options. We use various machine learning and generative AI techniques, from classical statistical methods like regression to recent models like LLMs, including Anthropic, OpenAI, and Google Gemini.