FloVision Solutions is bringing modern computer vision to one of the least digitized corners of industry: the meat and food processing floor. Protein production runs on razor-thin margins, and small inefficiencies in yield, grading, and quality control compound into enormous losses across millions of pounds of product. FloVision's platform turns every conveyor and workstation into a measurement point, scanning each item as it passes to deliver real-time analytics on yield, quality, and labor performance.
The company's hardware is intentionally compact and easy to retrofit. Sensors attach to existing conveyor belts and workstations and scan each piece of product as it moves, enabling processors to analyze yield and quality on a per-piece basis. The AI instantly flags defects, misgrades, and foreign materials, surfacing issues that would otherwise slip through manual inspection. Crucially, the platform also measures labor performance, giving plant managers a data-driven view of training needs and throughput across shifts.
The results FloVision reports are concrete and operational. Customers using the platform have recovered up to 1.5 percent more yield, improved quality control, and accelerated staff training and efficiency, with some reporting outsized returns by reducing waste and recovering lost product. Since launching in 2020, FloVision says it has processed tens of millions of kilograms of food across leading plants in multiple regions, giving it real production-floor validation rather than lab benchmarks.
In 2025 the company raised an $8.7 million Series A led by Insight Partners, with participation from Serra Ventures, SOSV, and Rockstart, capital it is using to expand across North America, Europe, Australia, South America, and Asia and to accelerate hiring in engineering, AI/ML, and sales. As food producers face mounting pressure on margins, sustainability, and labor, FloVision is positioned as a practical, ROI-driven application of AI to a massive and traditionally analog industry.