AI case study

PerennialDigital soil mapping

Soil analysis costs kept global mapping out of reach. Migrating to Earth Engine drove 10x faster AI iteration and doubled revenue.

Published|11 months ago

Key results

Revenue Growth
2x
Projected Growth
5x
Data Volume
10x

Result highlights

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The story

Context

A climate technology company analyzing global soil health to sequester carbon, processing terabytes of geospatial data and soil samples to verify regenerative agriculture practices.

Challenge

Traditional methods for measuring and verifying soil carbon face high costs and scaling limitations, hindering the ability to identify promising...

Solution
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Scope & timeline

  • Migration completed in < 3 months
  • 10x faster AI model iteration

Quotes

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The company

MMRV platform for field-level soil carbon sequestration and emissions monitoring.

IndustryEnergy & Utilities
LocationBoulder, CO, USA
Employees11-50
Founded2018

The AI provider

Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.

IndustryTechnology
LocationMountain View, CA, USA
Employees100K+
Founded1998

The implementation partner

Woolpert Digital Innovations logo

Woolpert Digital Innovations

innovations.woolpert.com

Assisted Perennial with migrating terabytes of data and developed new predictive model features.

IndustryTechnology
LocationDayton, OH, USA
Employees1K-5K
Founded1911

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