Edeniq’s core Intellulose® solution offering is the output of a mass balance calculation to grain ethanol manufacturers that quantifies the volume of cellulosic or fiber ethanol produced during the fermentation process.
Intellulose 2.0 – fiber ethanol quantification and qualification
Intellulose EPA – cellulosic ethanol quantification and qualification (including ASTM E3417-24)
The cellulosic or fiber ethanol volumes are then used by the ethanol producer to obtain credits or premiums under state and federal programs such as California’s Low Carbon Fuel Standard, Oregon’s Clean Fuels Program, or for D3 Renewable Identification Numbers (RINs) under the U.S. Renewable Fuel Standard.
Backed by an experienced technical staff and dedicated lab facility, Intellulose is protected by significant trade secret knowledge and patent filings, with analytical methods that have been reviewed and vetted by external subject matter experts and approved by various regulatory bodies.
The Company has developed excellent credibility, working relationships, and deep ties within the U.S. corn ethanol industry and state and federal governing agencies.
CLEAR COMPETITIVE ADVANTAGES
Intellulose technology platform is backed by significant trade secret and know-how IP, along with several patents and patent applications
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Analytical methods have been reviewed and vetted by external subject matter experts
Filed Patents
Registered Trademarks
Long-term entrenched relationships with the leading independent U.S. ethanol producers
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Excellent working relationships with regulatory bodies and national labs
Customer Retention Rate
Edeniq employs a highly experienced technical staff that is well-respected within the scientific community
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Led by industry veterans, the lab team is made up of approximately 30 team members
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Over 95% with science degrees
The combined 19,000 sq. ft. lab facilities in Visalia, CA house Edeniq’s top-of-the line testing equipment
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Advanced instruments allow Edeniq to process all samples completely in-house
AgSpectra – Expansion into Crop Management
Early Detection of Commercial Crop Diseases such as Citrus Greening
Under Development
Current analytics for crop foliage
Spectral calibrations for critical sugars and carbohydrates
Rapid diagnostics for commercial crops
Drone & robotic hyperspectral imagery
Artificial Intelligence
