2026
Program launch. Reforestation partner selected. Per-project carbon reporting goes live for new engagements.
One hundred trees for every successful project we deliver. The commitment grows with the work, and we report the carbon footprint of every engagement in the open.
Every engagement plants 100 trees.
Trees by 2030, tied to real delivery
Trees planted per successful project
Engagement ships with a carbon report
Most cloud partners point to the data-center pledges of their hyperscaler. We made our own. Every project Avahi completes funds 100 trees through a verified reforestation partner.
A proof of concept counts. A production launch counts. A Migration Acceleration Program engagement counts. As the business grows, the forest grows with it — and the number traces back to real delivery records.
This is the first mission. The target is 100,000 trees by 2030, earned one project at a time.
Delivery drives the forest, and measurement keeps it honest. The mechanism is simple enough to audit and direct enough to scale.
We ship a successful engagement: proof of concept, production launch, or MAP migration.
Each completed project funds 100 trees through a verified reforestation partner. The count ties to delivery records, so the number stands up to an audit.
We measure the carbon footprint of the workloads we build and hand the customer a clear report. Accountability, on paper.
AWS publishes the environmental impact of cloud usage at the account level. We turn that into a per-project view for every customer. Built on the AWS Sustainability service, AWS Data Exports, and Amazon QuickSight, the reporting shows emissions over time and breaks them down by scope, AWS Region, and service.
Carbon output tracked month over month for the workloads we deliver, so progress is visible across the life of an engagement.
A breakdown that shows where the footprint sits and where to cut it, down to the individual AWS service driving the load.
CSV reports and API access through AWS Data Exports, ready for Amazon QuickSight dashboards and board-level reporting.
AWS reports impact down to 0.5 grams of CO2 equivalent. Below that, the impact is immaterial. We show the method, not only the number.
On the method. Carbon data publishes the month after usage occurs, and new accounts take time to populate. We state these limits plainly, because numbers that hold up to scrutiny are worth more than numbers that look tidy.
Tree planting covers the footprint we cannot remove. Efficient design removes the rest first. Moving AI training and inference to AWS Trainium and Inferentia, and general compute to AWS Graviton, cuts the energy each workload draws before a single tree is counted.
Purpose-built silicon for lower-energy model training.
Efficient inference for production AI workloads.
More performance per watt for general compute.
Cost and carbon fall together when workloads fit.
Sustainability claims are easy to publish and hard to prove. Ours connects to delivery data and AWS-native measurement, so every tree and every gram of carbon traces back to real work. That is the difference between a statement and a system.
Delivery drives the forest, and measurement keeps it honest. The mechanism is simple enough to audit and direct enough to scale.
Program launch. Reforestation partner selected. Per-project carbon reporting goes live for new engagements.
First public progress update. Trees planted to date published alongside the delivery counts behind them.
Carbon reporting becomes standard on every customer engagement, from proof of concept to production.
100,000 trees planted. First mission complete—and the next one set.
