AI for climate & sustainability companies
Put AI to work on your climate data, without an engineering team.
For small and mid-sized climate, sustainability and regenerative agriculture companies, and the lean sustainability teams inside larger ones. We find the AI uses worth prioritizing, then build working tools your team owns.
Where most sustainability teams are
Small teams. Heavy demands. Little time to figure out AI.
67%
of sustainability teams have three people or fewer.
76%
say they lack the resources to meet their goals.
19%
use AI regularly in their work.
Source: Leafr survey of sustainability teams, reported in Air Cargo Week, December 2025.
What we help with
The repetitive work, done well, so your team can do the expert work.
Documents into data
Turn PDFs, reports and filings into structured data you can search, compare and trust, with every number traced to its source.
Questionnaires and disclosures
Draft supplier questionnaires, disclosures and reports from what you already know, for your team to review rather than rewrite.
Monitoring what changes
Watch regulations, incentives, markets or competitors, and surface only the changes that matter, so nothing important slips through.
Insights from operational data
Field, farm, energy or customer data understood: plain-language answers your team and investors can act on.
Internal tools, built for your workflow
Small, well-made tools that save hours every week, built so the team that uses them can own and run them.
An AI plan investors can see
A clear, costed view of where AI moves your business and where it doesn't, ready for your board or next raise.
Built in your field
We've done this with our own climate data.
The Great Heron Guide turns thousands of corporate sustainability reports into a structured, queryable GHG emissions dataset, using AI to make expert-level judgments about which numbers to trust. We stand behind the resulting data, heavily tested to meet shipping-quality KPIs. The same practices go into the tools we build for you.
See the Great Heron Guide →
The Great Heron Guide
Corporate Scope 1, 2 and 3 emissions, structured and comparable.
Risks, mitigated
In climate work, a wrong number is a reputation problem.
Wrong answers
Tested and proven against your own examples, with sources shown, before anyone relies on it.
Greenwashing exposure
Claims stay traceable to evidence, and people stay in the loop on anything public.
Runaway costs
Running costs are estimated before we deliver. And we provide guidance on how to keep those costs in check afterward.
Data & confidentiality
Your data and your customers' data go only where you've agreed they can.
Questions founders ask
Plain answers.
Do we need to hire engineers to use AI?
Not to start. We design and build the first tools, and hand them over in a form your current team can run.
Will it work with the tools we already use?
Usually, yes. We fit the work around your existing tools and data rather than asking you to switch.
How long does a first project take?
First engagements are short and focused, typically a few weeks, so you see whether it's worth it before committing more.
Who owns what you build?
You do: the tool, the code and the documentation, with no lock-in to us or a single AI provider.
What is your team buried in?
Tell us about your company and what you're hoping AI could help with.