Cut CIP Time by 15% Without Compromising Food Safety

Transparent process pipe showing water and cleaning solution flow during a CIP cycle, with Laminar sensors identifying the exact transition point to shorten cleaning time and cut resource use.

The Hidden Cost of Static Clean-in-Place

01

Stop Cleaning to a Worst-Case Timer

Your CIP process doesn’t need more time — it needs better intelligence. Conductivity sensors and timers force every wash to run for the worst-case scenario, even when the line is clean minutes earlier. Result? Lost capacity every cycle, every day.
02

Undetected Underwash = Quality & Safety Risk

Stuck valves, cavitation, insufficient flow, operator errors, excessive soiling lead to failed CIP loops that aren’t discovered until downstream — causing rewash, downtime, or worse, product holds and safety events.
03

Overwash = Hidden Opex Drain

CIP waste isn’t just water. It’s heat, chemicals, energy, labor, and lost production hours. Across hundreds of cycles, “safe overcleaning” quietly becomes one of your plant’s highest invisible costs.
Easy CIP hookup with standard fittings”

Science-led AI Powers CIP Optimization

Autonomous CIP That Proves Clean.
Every Cycle, Every Line, Every SKU.

Every liquid, soil, rinse, and chemical has a unique spectral signature. We detect the transition point between them in milliseconds — enabling your PLC to switch steps with scientific certainty, not timing estimates.
Unique Spectral Fingerprint for Caustic Soda
Caustic Soda
Unique Spectral Fingerprint for Oil
Oil
Unique Spectral Fingerprint for Mayo
Mayo
Unique Spectral Fingerprint for Oil
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.

Easy Retrofit, Instant Results

Our patented spectral sensors deliver:

✓ Non-contact, 3A/BPE/sanitary certified
✓ Retrofit on any standard pipe dimension
✓ Complete hardware kit ships with sensor
✓ Install in 2-3 hours
✓ Self-calibrating with minimal maintenance
✓ Easy replacement (just in case)
Laminar Sensor Specs

Proven in the World’s Most Demanding CIP Environments

Learn how Laminar transformed Unilever’s CIP to run a better, more sustainable version of their factory in under one year.

See Your CIP Savings Potential in 15 Minutes

With 15-minutes, we can show you how much time, water, chemicals, and capacity you can recover on your lines.
Laminar monitoring box mounted on a factory wall with connected cables, collecting and transmitting live Clean-in-Place and changeover data.

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