Track usage. Estimate impact. Reduce, then contribute.
One clear view of what your AI costs and what it emits. Cut the waste first, then fund verified climate work in line with the evidence. The paperwork is handled for you.
AI adoption is outpacing oversight.
Teams now ship with AI across dozens of tools. Very few organisations can say what it costs them, what it emits, or show evidence for the claims they make about it.
Commercial
One view of AI spend across every provider, and the avoidable waste worth cutting before you pay for anything else.
Environmental
Honest emissions estimates, real reductions, and funding for verified climate projects sized to the evidence.
Administrative
Reports, certificates and audit trails produced for you. Nothing new for your team to run or explain.
Three steps, from token to evidence.
Usage tracking
Meter tokens, spend and calls across every provider, broken down by team, project and model.
Impact estimation
Convert usage into an emissions estimate, adjusted for the workload and always shown as a range with a confidence score.
Reduce, then contribute
Cut avoidable waste first, then fund verified climate work in proportion. Every allocation is recorded for audit.
One clear view of usage, impact and contribution.
We track metadata, not content.
Token counts, models and timestamps are all we need. Prompts and completions never reach us — and what we do hold, like provider credentials, is encrypted, used read-only and access-logged.
Usage metadata only
Token counts, models and timestamps. Never the prompt or completion.
No prompts or completions stored
Content is out of scope end-to-end. It is never persisted.
Credential minimisation
Least-privilege, read-only keys wherever a provider supports them.
Endpoint allowlisting
Traffic is restricted to known provider endpoints only.
Audit logs
Every read, export and offset action is logged and attributable.
Tenant isolation
Each organisation's data is isolated at rest and in processing.
An estimate you can defend.
Impact can't be measured exactly at the token level, so we don't pretend to. Our Workload-Adjusted Inference Estimation model starts from the best data available, adjusts for the workload actually being run, and shows every figure as a range with a confidence tier.
Adjusted for model class, workload, context, reasoning and region, each with a stated uncertainty band.
Reduce first. Then contribute what you can defend.
We surface avoidable waste before any money moves. Then two clearly separate amounts: a small subscription that pays for the platform, and a contribution that goes to verified climate projects in full. The contribution is your estimated emissions priced at the market rate captured at your monthly billing run, not a flat cut of your bill.
Your central emissions estimate at the monthly captured market rate, passed to projects in full. Platform subscription from £2 a month.
Your upper emissions estimate in durable removal, priced at the monthly captured rate and passed on in full. Platform subscription from £5 a month.
Where the money actually goes.
Every allocation goes to independently verified projects and is retired on your behalf as whole tonnes accrue, with the paper trail to prove it.
Peatland restoration
RETIRED
Reforestation
RETIRED
Improved cookstoves
ACTIVEStart tracking your AI footprint.
Join the private beta. Connect a provider in minutes, read-only and content-blind.