SciPhy Systems has become the first U.S. distributor of Valenveras’ portable near-infrared testing platform, giving cannabis businesses access to rapid, on-site analysis for cultivation, processing, and purchasing decisions.
Laboratory testing has become one of the cannabis industry’s defining quality assurance tools, but it has also become one of its most persistent bottlenecks. As operators contend with longer turnaround times, rising analytical costs, and increased pressure to optimize every stage of production, interest in portable testing technologies continues to grow.
SciPhy Systems announced this week that it has become the first official U.S. distributor for Valenveras Portable Lab, bringing the company’s handheld near-infrared (NIR) spectroscopy platform to cultivators, processors, and wholesalers nationwide. The agreement marks Valenveras’ official entry into the American cannabis market and expands access to a technology designed to deliver laboratory-quality analysis directly at cultivation and processing facilities.
Several cannabis testing laboratories have recently ceased operations, extending wait times for third-party analytical services in some markets. While compliance testing remains a regulatory requirement, many operators increasingly rely on additional in-house measurements throughout cultivation, post-harvest handling, and processing to guide production decisions before products ever reach a licensed laboratory.
Bringing Laboratory Data Closer to Production
Rather than replacing compliance laboratories, portable spectroscopy systems are intended to provide immediate analytical feedback during day-to-day operations.
Valenveras’ handheld device uses dry near-infrared scanning to measure cannabinoids, terpene content, water activity, nitrogen, phosphorus, potassium, and other crop health indicators in approximately 40 seconds without consuming plant material.
The technology allows growers to evaluate plant nutrition during cultivation, processors to monitor incoming material before extraction, and wholesalers to verify product quality as inventory changes hands.
According to SciPhy Systems CEO Emmett McGregor, greater access to analytical information allows operators to make operational decisions with far greater frequency than traditional laboratory schedules typically allow.
“Cannabis operators have been held back by reliance on delayed, infrequent, and expensive lab testing to inform their processes and procedures,” McGregor said. “Today we are changing that by bringing instant data to the fingertips of every operation. Data is the crucial tool that unlocks better yields, better quality, and shorter turnaround times.”
Because the scans require no reagents or sample preparation, repeated testing can become part of routine production rather than an occasional expense.
Faster Feedback Throughout the Cultivation Cycle
The ability to evaluate nutrient levels directly from plant leaves may prove especially valuable for cultivators seeking to refine irrigation and fertilizer programs.
Traditional laboratory analyses using methods such as high-performance liquid chromatography or mass spectrometry can cost hundreds of dollars per sample while requiring days or weeks before results become available. During active cultivation, those delays can leave deficiencies unaddressed until they begin affecting plant health and final yields.
With rapid nutrient analysis available on-site, growers can identify developing imbalances while crops remain in production and adjust feeding programs accordingly.
The same principle extends into post-harvest operations. Instant cannabinoid and terpene measurements can help determine how material should be allocated between retail flower and extraction, while processors gain another layer of information when evaluating incoming biomass.
For wholesalers and purchasing teams, portable analysis also offers a way to compare shipments against certificates of analysis before transactions are finalized.
Expanding the Role of Near-Infrared Spectroscopy
Near-infrared spectroscopy has become increasingly common across agricultural industries because it delivers rapid, non-destructive analysis without requiring chemical reagents. Advances in calibration models have steadily improved the technology’s ability to estimate chemical composition across a range of crops and plant materials.
Valenveras has adapted those capabilities specifically for cannabis, producing a portable platform intended for everyday use inside commercial cultivation and processing facilities.
“The U.S. market represents a tremendous opportunity, and partnering with SciPhy Systems gives us the ideal foundation to bring Valenveras technology to American cannabis operators,” said Ruben Valenzuela, CEO and co-founder of Valenveras. “Instant, lab-grade NIR analysis at the point of cultivation or processing is no longer a luxury. It is a competitive necessity.”
The Shift Toward Data-Driven Operations
The distributorship also reflects a wider movement within commercial cannabis production. As cultivation becomes more sophisticated, operators increasingly integrate environmental monitoring, automation, irrigation controls, and production analytics into unified workflows.
Portable analytical equipment represents another layer in that evolution, allowing production teams to generate actionable information without waiting for outside laboratories or interrupting production schedules.
SciPhy Systems said units are immediately available through its U.S. distribution network, with domestic inventory ready for direct shipment. The company views the addition of portable NIR analysis as part of its broader effort to help cannabis businesses incorporate real-time data into cultivation and processing decisions while keeping testing inside their own facilities whenever appropriate.
Although third-party laboratories remain essential for regulatory compliance, portable analytical technologies are steadily expanding the amount of information available before products reach that final stage. For many operators, faster access to chemical and nutritional data could become another tool for improving consistency, reducing waste, and responding more quickly to changing conditions throughout the production cycle.
