
Climate Ltd builds the Climate Action Platform: sixteen AI agents on one data spine that collect data automatically, build the emissions inventory, model risk and decarbonisation with real climate science, and keep disclosure accurate — for a single organisation or a whole portfolio.
Emissions accounting, risk analytics, decarbonisation planning and disclosure grew up as separate jobs, done by different tools, different consultants, often different teams in the same organisation. The result: a fragmented stack, rebuilt by hand every cycle, on top of a regulatory map that keeps changing.
We built one platform instead. Agents fetch the data. The same data builds the inventory, feeds the risk models, prices the decarbonisation pathway, and drafts the disclosure — so every number agrees with every other number, and nothing gets rebuilt from scratch.
Each of the sixteen agents owns one job end to end: its own data sources, its own scientific or calculation standard, and a write-back into a ledger the other agents can query. That’s deliberate — it’s what lets an inventory figure, a risk exposure and a disclosure line all agree with each other, because they come from the same underlying records.
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