Laminar

Laminar supplies industrialized spectral sensors, edge gateways and machine-learning software that monitor liquid processes inside food, beverage and consumer-goods factories. The sensors generate real-time spectral fingerprints of fluids, allowing the system to identify a liquid's signature and determine the actual state of a process rather than relying on fixed timer-based recipes. The company applies this primarily to clean-in-place (CIP) and product changeover operations, where its models decide when a cleaning cycle is genuinely complete and adjust the cycle accordingly, with the stated aim of eliminating both over-washing and under-washing.

The product is positioned around what the company calls process-aware autonomy and a "self-driving factory": closed-loop agentic AI that acts on line conditions in sub-seconds, plus an Insights dashboard presenting KPIs, savings and alerts. Deployment follows a documented four-phase process — hardware shipment and installation, network configuration and PLC integration, a validation period in which models learn from site-specific data and produce recommendations, and finally activation of automation — with the company stating a line can be running within about a week of sensor installation. Target sectors listed include food and beverage, health and beauty, CPG, breweries, dairy, flavors and fragrances, data centers and pharmaceuticals.

Business model

B2B industrial technology: Laminar ships sensor hardware and an edge gateway to customer plants, integrates with plant PLCs, and delivers machine-learning models and an Insights analytics dashboard per production line. Engagements typically begin as pilots and scale across additional lines and facilities within enterprise customer networks.

Traction

Published case studies report line-level results measured against customer baselines: 15% time, 18% water and 18% chemical savings at a Coca-Cola high-volume bottling line with about $70,000 saved per line per year; 20% faster cleaning, 10% utility savings and roughly €100K per line in year one at Unilever's Poznań site; 24% time, 18% water and 20% chemical savings at an AB InBev brewery; 31% time and 28% chemical savings at a top-3 global sauce manufacturer; 21% reduction in overwashing time at a global syrup manufacturer; and 36% time and 41% water savings plus more than 65,000 gallons of water saved on one packaging line at a leading beverage manufacturer. A Unilever supply chain director cites an 18% reduction in cleaning downtime and 40% water savings per cleaning cycle. The company states customers typically see 10–20% efficiency improvement and over $100,000 ROI per line.

Latest developments

Company publications in late 2025 and early 2026 include a December 11, 2025 item on Coca-Cola System sustainability co-creation with startups, a February 2026 clean-in-place guide and an "On the Line" podcast episode. Co-founder and CEO Annie Lu authored a World Economic Forum piece on process-aware physical AI for self-driving cleaning cycles, and employees contributed a Water Online article on water use in process manufacturing.