Multi-sensor fusion
Radar sees through clouds. Optical tracks greenness. LiDAR measures height. Three independent measurements, cross-checked against each other.
Incumbents use one or two.The voluntary carbon market has a credibility crisis — and it is measurable.
Projects are checked periodically, not continuously. A forest can degrade for years between audits with no one noticing.
The ratings buyers rely on are expert judgments — proprietary, static, sold separately from the credit, with no published uncertainty.
The 2023 collapse in confidence was driven by cherry-picked baselines — a design flaw, not a measurement error.
High-quality projects get tarred with the bad. Without a trusted signal to separate them from junk, their credits go unbought.
Akrov is building a quantitative rating and marketplace for forestry carbon: a reproducible grade with published uncertainty, updated continuously — and settlement in the same place.
Radar sees through clouds. Optical tracks greenness. LiDAR measures height. Three independent measurements, cross-checked against each other.
Incumbents use one or two.Every estimate ships with a statistically guaranteed error bound, via conformal prediction. We publish how sure we are.
Nobody else does.We test whether a project's carbon is actually caused by the project — matched control sites and difference-in-differences, not a developer-chosen baseline.
Attacks the 2023 failure directly.Every grade update is hashed and anchored on-chain. Nothing in the history can be silently edited — including by us. Retirement is a permanent burn.
Double-counting is impossible.Sylvera tells you what an expert thinks. Akrov shows you what three satellites measured, how sure the model is, and every change since — signed, public, permanent.
Continuous satellite monitoring — radar, optical, and LiDAR — over every project, with a fresh pass every 30–45 days.
A calibrated model converts what the satellites see into above-ground biomass using biome-matched allometry, then into tonnes of CO₂ — each estimate carrying its verified confidence interval.
An 8-category engine scores the credit and assigns a tier, AAA to BBB — continuously updated, and downgraded within days if fire, drought, or clearing is detected.
Graded credits appear on the marketplace. Buyers filter by type, tier, confidence interval, geography, and price.
Credits are transacted and permanently retired on-chain, with cryptographic proof of retirement for compliance reporting.
Every credit is scored across eight weighted categories. The composite maps to a tier — and below the floor, a credit is rejected, not listed with caveats.
Weights are fixed and published. If a fire, drought, or clearing is detected, the grade moves — within days, not at the next audit cycle.
Highest integrity — strong on every category, tight uncertainty.
High integrity with minor, quantified weaknesses.
Sound, with identified risk factors priced in.
Acceptable — the lowest tier Akrov will list.
These figures describe the industry — the market Akrov is built for, not Akrov's own results.
Post-2023, A-to-AAA-rated credits traded around $14.80/tonne against roughly $3.50 for the lowest-rated. Removal credits now trade ~381% above reduction credits.
Up 58% year-on-year — demand is moving upstream into multi-year commitments, not disappearing.
Multi-year agreements, many running to 2050 — even as spot retirements of low-quality forestry credits hit multi-year lows.
BTG Pactual's timberland arm closed a $1.24B reforestation fund — backed in part by development finance. Institutional capital is entering at scale.
The first methodology to set additionality with a dynamic, remote-sensing performance benchmark — a causal, data-driven test. It's the direction the whole market is heading, and it's exactly how Akrov measures. The first VM0047 project — 25,000 hectares in Brazil's Cerrado — is already issuing credits into premium demand.
"The 2023 reckoning didn't kill the carbon market — it reorganised it around quality. Akrov is the measurement layer that quality now depends on."
High-integrity credits command a multiple over commodity ones. A credible, transparent grade is what unlocks that price.
High-integrity credits trade at a multiple over commodity ones. A transparent grade separates yours from the junk.
Satellite MRV replaces expensive, infrequent manual audits — measurement runs in the background, every 30–45 days.
The grade travels with the credit — buyers don't need to commission a separate rating to trust it.
A trusted, forward-looking grade helps unlock pre-purchase and offtake finance — capital when a project needs it, not years later.
A reproducible grade with a verified 95% confidence interval — you can see exactly how sure it is.
Continuous monitoring means you know your credits are still intact — not just that they passed an audit two years ago.
Open methodology and an on-chain audit trail. Trust, but check.
Permanent on-chain retirement gives cryptographic evidence for compliance reporting. Double-counting is impossible.
Every credit on Akrov carries a live grade, a published confidence interval, and a public history — so your offsets survive scrutiny.
Marketplace in demonstration — register interest for early access.
The stack is built from published, inspectable science — not a black box.
Sentinel-1 radar + Sentinel-2 optical + GEDI spaceborne LiDAR, fused and co-registered.
The right equation for the right forest — not one global default.
Finite-sample, verified confidence intervals — the error bound is a statistical guarantee, not a hope.
Matched control sites and staggered difference-in-differences — carbon attributed to the project, not the weather.
Every grade update hashed and anchored; retirement is an irreversible burn.
Akrov is early-stage. This is the roadmap, stated plainly.
The grading engine and a demonstration marketplace, running on real forestry parcels.
Accreditation as a recognised data and rating provider under the new standards; onboarding real sellers and buyers.
An open, transparent marketplace for high-integrity forestry credits.
The trusted measurement and settlement layer for the voluntary carbon market.
Forward-looking: stages beyond "Now" describe intent, not shipped product.
Machine learning, remote sensing, and the quantitative grading science.
Economics, market and regulatory strategy.
We're speaking with investors, corporate buyers, and forestry project developers. Tell us who you are and we'll follow up with the right material.
Or write to us directly: hello@akrovcv.com
Every tile is scored from space. Toggle to the coverage view to see where we certify directly versus where a field plot is required.
Click any tile to drill into the pre-warmed Jiquilisco reference parcel result.
The core screen: biomass, CO₂e with its interval, the credit math, and a downloadable verification dossier.
Pick a sample AOI or draw a rectangle on the coast, then submit. The server runs the engine's real carbon chain as an async job — queued → ingesting → predicting → certifying → done.
Hard AOI cap + submit rate-limit protect Earth Engine quota and cost. On any live failure the product degrades to a cached example — never a stack trace. Credentials stay server-side.