Engineered
for
carbon assets.
ChrysaLabs is the first Direct Contact Proximal Sensing soil tech to be validated by independent auditors under Verra.
This means accurate soil carbon data, a superior cost-to-accuracy ratio, faster deployment timelines, and greater confidence in resulting credits.
This is precision soil tech built for scalable carbon markets.
The ChrysaLabs™ solution leverages our patented, science-backed soil measurement technology, driven by machine learning and carbon measurement expertise. Our integrated approach combines proximal sensors, spectroscopy, and AI-powered modelling to advance how carbon in soil is quantified and verified.
Advanced AI and spectroscopy scan and analyze the soil’s chemical signature in under 30 seconds, enabling rapid soil carbon measurement directly in the field.
This real-time carbon measurement capability reduces reliance on delayed laboratory-only workflows while increasing accuracy over modelling-only approaches.
Our internal carbon science team supports equivalent soil mass (ESM), digital soil mapping (DSM), and stratification strategies to ensure scientifically robust measuring soil carbon practices.
By integrating digital soil mapping and structured stratification, we enhance the precision of carbon measurements and improve the reliability of soil carbon stocks quantification.
By integrating digital soil mapping and structured stratification, we enhance the precision of carbon measurements and improve the reliability of soil carbon stocks quantification.
We build a bridge, essentially a validated model, that transforms raw field data into accurate carbon in soil estimations.
This model integrates data from our proprietary proximal sensors, laboratory analysis, and geospatial datasets to deliver defensible soil carbon measurement outputs aligned with registry expectations.
We rigorously evaluate model performance to ensure reliable carbon measurements that withstand audit scrutiny.
Nearly 7 million tonnes of carbon in soil quantified to date with audit-ready reporting. Our soil carbon measurement technology delivers registry-ready documentation aligned with global carbon programs.
Custom report templates, API or downloadable outputs, and proximal soil sensing support reliable carbon measurements and accurate measuring soil carbon at scale.
Vertical scanning measures carbon in soil every 6 inches across the full profile, not just the surface. Our soil carbon measurement technology uses proximal soil sensing to reveal where carbon is stored at depth.
This precision soil tech approach strengthens permanence claims and improves the reliability of long-term carbon measurements.
The ChrysaLabs™ solution leverages our patented, science-backed soil measurement technology, driven by machine learning and carbon measurement expertise. Our integrated approach combines proximal sensors, spectroscopy, and AI-powered modelling to advance how carbon in soil is quantified and verified.
Advanced AI and spectroscopy scan and analyze the soil’s chemical signature in under 30 seconds, enabling rapid soil carbon measurement directly in the field.
This real-time carbon measurement capability reduces reliance on delayed laboratory-only workflows while increasing accuracy over modelling-only approaches.
Our internal carbon science team supports equivalent soil mass (ESM), digital soil mapping (DSM), and stratification strategies to ensure scientifically robust measuring soil carbon practices.
By integrating digital soil mapping and structured stratification, we enhance the precision of carbon measurements and improve the reliability of soil carbon stocks quantification.
By integrating digital soil mapping and structured stratification, we enhance the precision of carbon measurements and improve the reliability of soil carbon stocks quantification.
We build a bridge, essentially a validated model, that transforms raw field data into accurate carbon in soil estimations.
This model integrates data from our proprietary proximal sensors, laboratory analysis, and geospatial datasets to deliver defensible soil carbon measurement outputs aligned with registry expectations.
We rigorously evaluate model performance to ensure reliable carbon measurements that withstand audit scrutiny.
Nearly 7 million tonnes of carbon in soil quantified to date with audit-ready reporting. Our soil carbon measurement technology delivers registry-ready documentation aligned with global carbon programs.
Custom report templates, API or downloadable outputs, and proximal soil sensing support reliable carbon measurements and accurate measuring soil carbon at scale.
Vertical scanning measures carbon in soil every 6 inches across the full profile, not just the surface. Our soil carbon measurement technology uses proximal soil sensing to reveal where carbon is stored at depth.
This precision soil tech approach strengthens permanence claims and improves the reliability of long-term carbon measurements.
ChrysaLabs probes provide dense, rapid in-field measurements that map soil variability in real time, strengthening strata boundaries and reducing required lab samples.
We begin by optimizing the sampling layout using uncertainty-driven design and our own stratification + DSM layers to ensure every sample adds maximum information value.
All probe, lab, and spatial data flow into our automated data pipeline—ensuring seamless QA/QC, version control, and project-ready documentation at scale.
Our modelling framework integrates probe signals, lab carbon, and geospatial features to produce highly accurate carbon predictions while minimizing statistical uncertainty.
By combining optimal design, dense field mapping, strong data infrastructure, and high-performance modelling, we deliver lower uncertainty, higher carbon estimates, and ultimately greater credit revenue for the client.
Stacked with PhDs, we’re more science lab than shiny object, and we've got you covered with the proof points that make the science defensible under verification.
Memberships and accreditations
The ChrysaLabs Probe’s patented, 3-in-1 sensor array provides a robust, multi-spectrum data stream. This high-fidelity signal is the foundation for our accurate AI models and reliable, real-time results.
We don't ask you to gamble on unproven claims. We submitted our technology for independent audit and are third-party validated as fully compliant with Verra's VM0042 methodology. It's built for the market's highest bar.
Our models are only as good as the data that trains them. We ensure a consistent, global baseline of quality by requiring all calibration and partner labs to be ISO 17025 certified for technical competence.
Read our report on the state of the carbon credit market and what is driving confidence and buyers towards high-integrity assets
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