Enhance manufacturing quality with Vision AI and IoT data integration. By using diverse cameras and data points, this solution detects anomalies and ensures conformance to quality standards. TRL 9 indicates readiness for immediate deployment.
Our solution integrates Vision AI and IoT data to revolutionize quality control in manufacturing processes. Utilizing cameras across various spectrums, including thermal and SWIR, alongside IoT telemetry from equipment and environmental factors, this technology identifies and predicts non-conformities in manufacturing. By establishing a baseline of conformance through AI model training, manufacturers can ensure their processes consistently meet quality standards.
This technology is at TRL 9, indicating it has been proven in operational environments and is ready for commercial deployment.
BCDiLabs (also known as Innovate Nxt) provides an AI-powered software platform called Innov8 OS, designed specifically for the food and beverage industry. The platform integrates AI-driven experimentation into the product development and R&D lifecycle, allowing teams to optimize workflows, refine formulations, and balance complex variables such as taste, texture, nutritional profiles, regulatory requirements, cost, and supply chain constraints. By shifting from traditional, manual, and trial-and-error methods to an AI-accelerated approach, the company aims to reduce development times and improve product velocity for formulators.
The platform addresses common industry challenges like slow time-to-market and fragmented R&D systems by offering end-to-end coverage from bench-scale testing through pilot and production certification. Its ability to enable data-driven, personalized product development helps CPG and ingredient companies remain competitive. BCDiLabs has demonstrated its capabilities through successes such as accelerating the formulation of high-protein dairy beverages, gluten-free baked goods, and plant-based alternatives, and it continues to engage with industry professionals to showcase the impact of AI on the future of food science.