Turning Carbon into Bankable Assets for Regenerative Agriculture

Regenerative agriculture’s most boringly predictable asset.

Because a good regenerative agriculture story isn’t enough

Regenerative agriculture is an inspiring story of stewardship, soil restoration, and long-term resilience. But in carbon markets and sustainability frameworks, stories don’t get verified. Auditable data does.

Our platform provides rigorous scientific quantification to translate regenerative ag practices into predictable, verifiable revenue streams. By measuring real changes in soil health regenerative agriculture systems create, we turn your sustainable and regenerative agriculture strategy into a bankable, defensible asset.

Memberships and accreditations

Quantify what you're actually changing

Our platform provides field data that proves measurable impact using advanced soil sensing technology. This supports soil health in regenerative ag, demonstrates its benefits, and enables participation in certification frameworks.

Turn your carbon into a verifiable asset

Our platform structures data from day one to support regenerative agriculture verification. Aligned with recognized methodologies, it enables predictable validation and strengthens eligibility for regenerative ag certification within sustainable and its programs.

Focus on farming, not data science

We manage the full data workflow so you can focus on implementing regenerative ag practices in the field. This makes it practical for farmers, ag input providers, and companies to participate in sustainable and regenerative agriculture markets.

Your portfolio’s most boringly profitable asset.

This goes beyond stewardship, our data makes regenerative agriculture measurable and financially valuable. Aligned with regenerative ag alliance and regenerative agriculture alliance standards, soil improvements become credible assets demonstrating the benefits of regenerative agriculture.

Discover the Carbon Platform

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

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.

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.

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.

Advanced Modelling & Predictive Accuracy

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

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

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

FAQ Regenerative Agriculture

We already track regenerative practices. Why do we need soil carbon measurement too?

Practice tracking shows what growers are doing, like planting cover crops or reducing tillage, but it doesn't prove what those practices actually changed in the soil. Carbon markets and most buyers require outcome-based evidence, not just practice adoption. Our measurement turns practice change into a quantified, verifiable carbon outcome.

How does ChrysaLabs align with Verra’s VM0042 methodology specifically?

Since the publication of VM0042 v2.0, the methodology accepts emerging technology under Appendix 4 (Guidance on potential emerging technologies to measure SOC content). VM0042 sets strict requirements for sampling density, uncertainty quantification, and baseline comparison in soil carbon projects. Our sampling design and probe-based measurement are built around exactly those requirements, so the data we produce slots directly into a VM0042 project rather than needing rework before submission.

Our growers are not data scientists. How much extra work does ChrysaLabs create for them?

There is some upfront admin work, carbon programs require growers to document their practices from the past five years before enrolling, and then annually for the life of the program (typically 10–20 years). We help collect that historical data, define project boundaries, and work with you to decide where to place control sites, since this information feeds directly into the sampling design. Once the program is running, ChrysaLabs manages field data collection logistics, lab coordination, and reporting, and the probe itself is fast in the field, so the ongoing time burden stays low compared to traditional soil sampling programs.

How long before our soil carbon program generates revenue we can count on?

Soil carbon needs time to change measurably, so most programs run on multi-year monitoring cycles rather than a single season. What we can shorten is the uncertainty around each measurement: tighter uncertainty means more of your measured carbon gain converts into sellable credits instead of being discounted away.

Can this data support both a carbon credit program and other sustainability claims, like a regenerative ag certification?

Yes. Because the underlying measurement is rigorous and aligned with recognized methodologies, the same dataset can support a Verra credit pathway and strengthen eligibility for regenerative agriculture certifications or alliance standards that require evidence of soil health improvement. That said, you need to be cautious and avoid double-counting, you can't claim the same removals in both the offset and the inset market.