AI-led workflows ensure complete submissions, and the autonomous engine flags issues, fixes inconsistencies, and fills gaps for full coverage.

Effective decarbonisation depends on trusted, high-quality data, yet supplier submissions rarely meet that standard. Variability in formats, missing fields, and manual errors create gaps that traditional validation processes cannot fix at scale. These gaps weaken targeting, slow action, and limit the impact of decarbonisation efforts.

Three intelligence-led steps that create complete, consistent, and audit-ready carbon data.

.webp)
.webp)
.png)




From inconsistent inputs to reliable, audit-ready outputs.
Trusted data is the foundation of effective decarbonisation. Mavarick ensures data integrity at scale, powering complete Scope 3 coverage, sourcing intelligence, and audit-ready compliance so teams can act with confidence.