Inline Quality Monitoring 

Food and beverage products moving down a factory conveyor with Laminar’s spectral sensor data overlay, ensuring every unit meets quality standards.

Stop Reactive Quality Control

01

Mistakes That Keep Happening

Missing ingredients, stuck valves, incorrect dosing, insufficient operator training, shift-to-shift variability… These don’t all happen at the same time, but they do keep happening, and it's frustrating to whack-a-mole from a quality standpoint.
02

Sampling Heavy Quality Control

Sampling is essential for ensuring quality, but it often slows down production—particularly when underlying root causes remain unresolved. Excessive process and input variability lead to an overreliance on inspection rather than prevention—a cycle that operations find tough to break.
03

Variability in Process and Inputs

Even manufacturers with a limited number of “hero” SKUs face significant challenges from process and input variability. For operations managing an expanding SKU portfolio, new suppliers, and evolving formulations, the complexity—and the struggle to maintain consistency—erodes margins and productivity.
Laminar Gateway device mounted in a factory setting, linking inline spectral sensors on production lines to Laminar’s AI platform for real-time process optimization.Laminar spectral sensor in production pipeline

Closed-Loop Inline Quality Inspection and Control

Transform your Quality Assurance Program. Get Proactive, not Reactive.

Every Laminar sensor gives you a clear view inside every pipe, continuously analysing liquid chemistry in real time.

Paired with Agentic AI and edge ML models, they provide sub-second decisions that maintain quality across every stage of production.
Laminar's patented sensor.

Catch Defects Before They Become Recalls

Real-time monitoring ensures every product meets specifications, protecting the brand's reputation, safeguarding consumers and customer satisfaction, and keeping quality products in the market and out of the waste stream.

Improve product consistency, traceability, and compliance with detailed batch records.
Caustic Soda
Oil
Mayo
Water
Laminar inline spectral sensor attached to a stainless steel production pipe, built with sanitary fittings for food and beverage environments and enabling AI-driven process optimization.

Maintaining Quality at Scale

A leading fine chemicals manufacturer struggled with inconsistent product quality grading due to reliance on grab sampling. Learn how they saved $80,000 per year on a single line with our in-line quality monitoring models.

Consistent Quality Starts Here

Ready to stop relying on manual spot checks? Talk to our team to learn how Laminar can transform QA into a continuous inline safeguard.
AI-driven SKU changeover automation

Winland Foods is committed to exceeding consumer expectations with a high-quality food experience from the field to the table. Innovation is a critical pillar of our mission to provide superior value, and we've partnered with Laminar to enhance production flexibility with insights previously invisible to the naked eye.

Leveraging their machine learning technology, we expect to enhance our production agility, reduce waste, and gain greater capacity so we can continue to deliver more world-class quality and value to our customers.

Das Menon | Winland Foods, Sr. Director, Continuous Improvement

Laminar has industrialized exceptional technology that delivers results not found anywhere else in the market. The ability to generate real-time spectral fingerprints for each fluid and determine the liquid signature enhances our efforts to develop the best products and meet market demands.

Their team is a true partner in our shared goal to identify productivity opportunities and use cases that are distinctive to their technology. We're excited to leverage Laminar in creative ways that support our innovation goals, which give us our advantage in the marketplace.

Process Engineering Director | Market-Leading Snack Food Company

Our partnership [with H2Ok] has allowed for an 18% reduction in downtime during cleaning, which increases productivity and lowers costs in the supply chain. We have also saved 40% of a cleaning cycle's water consumption by using the technology.

Supply Chain Director | Unilever