grow. truly. clean
TM
Founded by risk management experts.
We leverage pathogen, plant, and industrial science and data to eliminate the worry about disease and odor, maximize operational efficiency, and increase profitability.
$0.44
Average client monthly spend per square foot of Critical Space
2
$8.33
Average client monthly revenue increase per sq ft of Critical Space
2
1-Individual results may vary.
2-As of 2/21/2022. In an internal study, CLEANTheory analyzed the average amount of subscription fees paid per client per square foot per month in contrast to the amount of additional net revenue that a client reported was directly attributable to their use of the CLEANTheory platform compared to their average over the preceding twelve-months. "Critical Space" is facility square footage, as determined by CLEANTheory, to be treated daily. Individual results may vary.
Disinfection is centuries old,
Chemicals are typically sold through catalogs or on the advice of non-technical salespeople. So-called "disinfection devices" don't require EPA validation for safety or efficacy. These devices are long on promises and short on real-world science.
Glossy brochures and "real-world studies" offer far-fetched claims that just don't cut it when it comes to the health of plants and the people that tend to them.
but little has been done to assure it for indoor cultivation.
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Unsurprisingly, the average cultivator fails 20%-40%
microbial testing, costing millions of dollars of lost revenue on average. Supply chain interruptions, increasing regulations, global competition, industry consolidation, and changing consumer habits all put downward pressure on current and future profitability. With a smarter biosecurity model, the average operator could increase revenues through fewer yield losses, recoup labor costs and provide safer working conditions.
3
31%
#1 response in
the survey
Operators who identify pest & disease control as their biggest challenge
4
< 3%
Operators who identify pest & disease control as technology they're automating
4
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If pest & disease control is the #1 concern of growers, why do so few automate it?
3-As of 1/1/2022. In an internal study, CLEANTheory's poll of prospective and current clients demonstrates a 20%-40% average yield loss to disease. This loss includes legally remediated products.
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IoT, AI, and big data are altering industries,
old and new alike. From the technology that's in your hand to autonomous vehicles, to apps and programs that adapt and continuously improve, the world both big and small is changing at the speed of innovation.
A new model for cultivation success
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CLEANTheory has engineered a new model for cultivation success by improving upon the traditional formula for disinfection (dubbed the "Four C's"). First, we use proprietary chemistry unmatched in combined efficacy and safety. Then, we add a specific frequency and timing of treatment (consistency). Lastly, a verification protocol (certainty) determines treatment efficacy. These are the new "Six C's" redefining how operators fight disease and unwanted odor.
5
We effortlessly serve any size grow, from thousands to millions of square feet.
5-Source: The Four C's
CLEANTheory model vs traditional biosecurity models
75% - 90%
Less labor
effort for best practices
75% +
Increase in passed tests for microbials
Traditional
methods
Traditional
methods
This new model means less time and money spent to sanitize and disinfect facilities while, at the same time, passing more tests for microbials means healthier plants. And by automating the entire process you can now save tens to hundreds of thousands of dollars on annual labor costs while reducing or even eliminating the most common sanitation-related employee injuries.
Based on two internal studies. In the first, CLEANTheory performed sanitation duties using the equipment included in the platform and compared it against the replication of traditional methods which included preparation, dilution, transfer, and spraying. The results represent the average rate of improvement exhibited by CLEANTheory's platform against traditional methods. In the second, CLEANTheory analyzed client data prior to and after the use of the platform and the results represent an average increase in the number of passed microbial tests while using CLEANTheory in comparison to the prior 12-month historical period before the client's use of the platform. Individual results may vary.
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