Renoster is the software and data platform for the carbon markets — pairing remote sensing (LiDAR + multispectral) with AI/ML to make nature-based carbon credible, measurable, and verifiable.
Built in Austin, Texas · Deep transparency for every tonne
Too many nature-based credits rest on optimistic baselines and self-reported numbers. When the measurement is opaque, the climate impact is unknowable — and buyers carry the risk.
Credits issued on rosy assumptions, thin field sampling, and paperwork no third party can independently reproduce.
We start from remote sensing and AI/ML, then expose the data and methods behind every tonne — so integrity is something you verify, not just trust.
Renoster began as a carbon-project ratings agency — scrutinizing other people's credits. We saw the market needed carbon it could actually verify, so we built the software and data platform to deliver it.
Machine-learning models turn sensor data into defensible baselines and detect real forest change over time — at a scale field crews can't match.
● ContinuousLiDAR and multispectral imagery quantify standing biomass and canopy structure across the entire project — far beyond what sparse plots can see.
● LiDAR + multispectralBaselines, uncertainty, and monitoring data are laid open. Buyers and auditors can trace the number behind every credit back to its source.
● Fully traceableApollo generates carbon credits through improved forest management — pairing LiDAR-grade monitoring and machine learning with transparent baselines and traceable issuance, so each tonne stands up to scrutiny.
Remote sensing and LiDAR capture standing carbon and canopy structure across the whole project.
Machine-learning models turn sensor data into a defensible, transparent baseline.
Continuous monitoring tracks real forest change against the baseline over time.
Methods and data are published so every credit can be independently checked — and trusted.
If a credit can't be verified, it shouldn't be sold.
Renoster Systems was founded in 2019 in Austin, Texas. We started by rating the quality of other carbon projects — and the deeper we looked, the clearer it became that the market needed carbon built on evidence, not assumptions.
Today we build the software, data, and machine learning that make nature-based carbon genuinely transparent — so climate impact is measurable and buyers can act with confidence.
Talk to our team about deeply transparent forest carbon — and see the data, models, and lineage behind every tonne.