Akrov
Akrov is building a quantitative rating and marketplace for forestry carbon credits, using satellite data from radar, optical, and LiDAR sensors to generate reproducible grades with published uncertainty intervals. The company's platform continuously monitors projects, updates ratings within days of detected disturbances, and anchors every grade update on-chain, creating a permanent public audit trail that lets buyers filter credits by tier, confidence interval, and geography.
- Artificial Intelligence
- Data & Analytics
- Clean Technology
- Commerce & Shopping
- Financial Technology
- Software Only
- Space Technology
Funding
Founders
Product
Problem
The voluntary carbon market suffers from a credibility crisis: projects are audited rarely rather than continuously, ratings rely on proprietary expert judgments rather than published measurements, and baselines are chosen by developers rather than tested. Forest degradation can go undetected for years, and high-quality projects are tarred with the same brush as low-quality ones, leaving their credits unbought.
Solution
Akrov provides a quantitative rating and marketplace for forestry carbon that delivers reproducible grades with published uncertainty, updated continuously, and settled in the same place. The platform fuses radar, optical, and LiDAR satellite measurements—cross-checked against each other—to estimate above-ground biomass and carbon, with each estimate carrying a statistically guaranteed 95% confidence interval via conformal prediction. Akrov tests whether a project's carbon is actually caused by the project using matched control sites and difference-in-differences analysis, rather than relying on developer-chosen baselines. The system assigns an 8-category tier from AAA to BBB, rejects credits below the integrity floor, and anchors every grade update on-chain, making double-counting impossible and creating a permanent public audit trail.
Target Audience
Primary customers are corporate carbon credit buyers and project developers in the voluntary carbon market, as well as institutional investors seeking trusted, audit-ready offsets for compliance and sustainability reporting.
Features
- Multi-sensor fusion combining radar (cloud-penetrating), optical (greenness tracking), and LiDAR (height measurement) for triple-independent cross-checked measurements
- Verified 95% confidence intervals on every carbon estimate using conformal prediction, with published uncertainty for each grade
- Causal additionality testing through matched control sites and difference-in-differences, attacking the 2023 baseline credibility failure directly
- Immutable on-chain audit trail where every grade update is hashed and anchored, retirement is a permanent burn, and no historical edits are possible
- Continuous monitoring with fresh satellite passes every 30–45 days and grade downgrades within days of detected fire, drought, or clearing
- Fixed, published category weights across eight scoring dimensions including physical permanence (28%), ecological vulnerability (18%), and additionality (14%)
- Marketplace with buyer-side filtering by credit type, tier, confidence interval, geography, and price