Policy + opportunity · 7 MIN
Carbon credits are a data problem. AI is the solution.
The voluntary carbon market has been through a credibility crisis. Investigations found that a large share of certain forestry offsets did not represent genuine, permanen…
Arshad Khan · Founder & Principal
“Carbon cannot be audited with periodic manual site visits every five years. It requires continuous telemetry, multi-spectral monitoring, and algorithmic baseline validation.”
1. From sample estimates to sensors
The voluntary carbon market has been through a credibility crisis. Investigations found that a large share of certain forestry offsets did not represent genuine, permanent removal. Corporate buyers withdrew and pricing collapsed.
The macro imperative did not change: corporations and sovereign states still face binding net-zero mandates. The problem was never demand. It was the verification architecture. Legacy accreditation relies on self-reported developer models and sporadic inspection. AI-native measurement replaces that with synthetic aperture radar, LiDAR canopy models and atmospheric sensing, combining continuous satellite feeds with computer vision to calculate biomass accretion and soil carbon flux at sub-metre resolution against audited baselines.
2. Carbon as an institutional asset
When credits carry verifiable provenance, demonstrable additionality and real-time degradation alerts, they stop being reputational risk and become institutional-grade natural capital.
Thimar models sequestration potential alongside mineral rights and land parcels, identifying tracts where multi-stream monetisation, soil carbon plus subsurface rights, maximises total risk-adjusted return on the same acreage.
Read time computed from word count. Labels on the index are the source site’s. PLACEHOLDERS B6.