Cut CIP Time by 20% With Dynamic Optimization
Cut Your CIP Time by 20%
Know the exact moment your line is clean — and reclaim the capacity and resources wasted on timer-based guesswork.
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Unilever reclaimed production uptime and saved €100,000 in year 1 with Laminar CIP models.
See how Laminar autonomously optimizes Clean-In-Place cycles with sub-second control.
Stop using static Clean-in-Place timers.
Start saving with dynamic CIP optimization.
Stop Cleaning to a Worst-Case Timer
Your CIP loop doesn’t need more time — it needs better intelligence. Conductivity + 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.
Fully Closed Loop CIP Automation
Our AI-powered sensors analyze the liquid’s spectral fingerprint to know the exact moment a final rinse or wash is complete to meet your specific requirements. Science-backed ML models automatically advance PLCs, eliminating chronic overwash and reclaiming valuable uptime.
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.
Underwash Detection is Built in
When our CIP model detects an underwash, it automatically extends the step till the effecting cleaning condition of the step is met. This prevents underwash and ensures that your cleaning requirements and quality standards are met in every CIP cycle, across all your SKUs and circuits.
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.
Save Resources in Every CIP Step
Conductivity sensors may help reduce CIP chemical usage. Our solution not only adds to those savings but also reduces CIP process times by an additional 15%+ and reduces water usage by 10%–20%. The result is cleaning procedures running your CIP to a liquid condition, not just conductivity.
Ready to see how much production time you can save?
Before Laminar
- Overwashing & Underwashing
- High Chemical & Opex Waste
- Timer-Based Recipes
After Laminar
- Exact Clean
- Resource Savings
- Dynamic-Based Recipes
Autonomous CIP That Proves Clean Every Cycle, Line, & SKU
Proven in the World’s Most Demanding CIP Environments
FAQs
Find answers to the most common questions about Laminar's ML models & spectral sensors.
Laminar primarily serves food and beverage manufacturing, dairy processing, brewing, and pharmaceutical production. Our technology is designed for any facility using Programmable Logic Controllers (PLCs), Distributed Control System (DCS), or OPC Servers — and running CIP processes or needing real-time quality monitoring of liquid products.
No major changes are required to your CIP system. Laminar integrates with your existing PLC. The PLC retains full control — Laminar sends optimization recommendations as simple signals that your PLC acts on. You can enable or disable Laminar's recommendations at any time.
Laminar's Insights dashboard shows both projected and actualized savings. Projected savings estimate what you would save if the ML model's recommendations were fully adopted. Actualized savings reflect real reductions after automation is enabled.
Many customers see measurable projected savings within the first month of data collection, before automation is even enabled. Once our models are validated by your team and closed-loop automation is enabled, actualized savings begin to accumulate immediately. ROI timelines vary by facility, but customers with high CIP frequency, high water/energy costs, or significant product loss typically see the fastest payback. During discovery, we can model expected savings based on your specific operating conditions.
No routine maintenance is required. The CIP process that cleans your lines also keeps the sensor face clear. We recommend periodic visual inspection of the outer housing to ensure the device hasn't been dislodged or damaged. Remote calibration is done by our team lifting the burden of ongoing maintenance from you.
Laminar's proprietary ML models are supervised models trained on your line’s data from both the installed spectral sensors and your factory PLC. During a training period (typically 2-3 weeks), data is passively collected to build models specific to your processes. Once trained, models deploy first in evaluation mode — showing recommendations without triggering automation — so you can validate performance before enabling real-time optimization.
Laminar sensors are FDA-compliant and carry BPE (Bioprocessing Equipment) certification, the industry standard for pharmaceutical and biotech applications. Our technology assists with faster corrective action that enhances your hygienic and Current Good Manufacturing Practices (cGMP).
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CIP Savings Finder
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.
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.
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.
