The Infrastructure Behind Self-Driving Clean-In-Place and Changeover Optimization.
One sensor that manages every SKU
A single Laminar sensor captures broadband spectral data across your entire product portfolio — no reconfiguration, no recalibration between runs. That same data feeds multiple ML models simultaneously, so one install point can power CIP optimization, product changeover detection, and quality analysis at the same time. Industrialized and deployed across 130 factories, operating on fillers, batching systems, tanks, heat exchangers, and pasteurizers. Laminar sensors are currently running on lines ranging from beer and dairy to mayo and nutrition products and more.
Data from factory floor to ML models
Our edge gateway stores proprietary ML models built specifically foryour processes. It enables factory-floor data to be processed by our MLmodels, optimization decisions to be made in real time, and thosedecisions to be transmitted directly to PLC/SCADA/BMS systems forimmediate implementation.
One sensor that manages every SKU
Laminar ML models are tuned to constantly improve your processand honor all your quality requirements.For Clean-In-Place (CIP) and Changeover optimization use cases,we have proprietary ML models that can be deployed instantly fortime, utility, and yield savings — and can add additional models forchemical recirculation optimization and chemical overdose detection.We also support diversified use cases beyond CIP and Changeoverssuch as Filtration, Underwash Detection, and Emulsification in F&Bmanufacturing facilities globally

Certifications & Compliance
Our sensors are meticulously tested to meet worldwide emissions and safety standards. Our design process prioritizes industrial performance, utilizing industrial Ethernet and IEEE 802.3 PoE standards for robustness and interoperability.
Specifications
View the detailed specifications and engineering drawings for Laminar FlexSensors and Edge Gateway. Learn more about how our Models and Insights Platform work.
Self-Driving Clean-In-Place (CIP) Model
Automatically advances CIP steps when clean is achieved. Eliminates overwash and underwash instances. Reduces time and chemicals spent on CIP cycles while meeting quality standards.
Self-Driving Product Changeover Model
Detects the exact product-to-product or product-water transition interface— reducing product loss at the tail and head of every run. Cuts down on time and water use during changeovers.
Trend Analysis
Visualize and analyze data-driven trends from your CIP and changeover cycles. See the time, water, chemical, and product saving opportunities Insight has identified, and implement recommendations directly.
Inefficiency and Anomaly Detection
Get proactive alerts on anomalies occurring in your line — whether a valve left open or chronic overwashing during a specific changeover sequence — so you can act instantly.
Granular Data on Each Run and Line
Access detailed data on each of your lines and runs to see exactly how much time, water, chemical, or yield loss occurred, and reveal opportunities for savings.
Cross Facility Insights
Compare how your facilities perform across CIP and changeovers, utility usage, and savings to surface comparative insights at scale


.png)
.png)
.png)


