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Don’t miss our next webinar live from NACW on April 1st: How to scale soil carbon projects, with Indigo Ag. Register here.

Built for soil carbon project developers focused on bankability in MRV

Uncertainty is the most expensive liability in a soil carbon project MRV.

In soil carbon project MRV, uncertainty directly impacts revenue in the carbon voluntary market. Higher uncertainty means more carbon credits allocated to buffer pools and fewer sellable carbon offsets.
Our platform enables MRV cost reduction while maintaining defensible uncertainty, supporting certified carbon credits and stronger carbon credit integrity.

Memberships and accreditations

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Engineered for maximum profitability

Our calculator optimizes sampling strategies for soil carbon project MRV, balancing operational costs and carbon credit yield. This helps carbon project developers maximize carbon trading credit volumes while enabling MRV cost reduction and preserving high integrity carbon credits.

A clear path to Verra issuance

We provide a single, auditable source of truth for soil carbon project MRV, aligned with leading carbon offset programs and the carbon voluntary market. Verification becomes a predictable step toward certified carbon credits, strengthening overall carbon credit integrity.

Defensible carbon estimates built on proprietary modeling.

We build validated models to turn field data into reliable soil carbon MRV. By combining sensor, lab, and geospatial data, we deliver defensible quantification for high-integrity carbon projects.

Complexity, managed

Focus on your carbon offset projects, not on operational friction. Our dedicated team manages the full workflow, from field sampling to laboratory coordination and data consolidation. Acting as a single, accountable partner, we enable scalable MRV execution that supports long-term participation in the carbon voluntary market.

We de-risk carbon offset projects and help you break the scalability wall at every stage

01

Smart Sampling Design

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.

02

High-Resolution Field Mapping

ChrysaLabs probes provide dense, rapid in-field measurements that map soil variability in real time, strengthening strata boundaries and reducing required lab samples.

03

Automated Data Management & Traceability

All probe, lab, and spatial data flow into our automated data pipeline, ensuring seamless QA/QC, version control, and project-ready documentation at scale.

04

Advanced Modelling & Predictive Accuracy

Our modelling framework integrates probe signals, lab carbon, and geospatial features to produce highly accurate carbon predictions while minimizing statistical uncertainty.

05

Profit Maximization & Uncertainty Reduction

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.

Analyst report: the rise of the next generation of carbon credits

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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Let’s talk soil carbon data for real carbon asset decisions