Laminar Earned Supplier Partner Award Nomination
The firm’s automation technology for food processors reduces water and chemical waste during cleaning cycles.
Updated on Oct. 1, 2026 in Manufacturing

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The Association for Dressings and Sauces nominated Laminar for its 2026 Supplier Partner of the Year Award following the company's receipt of the 2026 FoodTech Innovation and Edison Gold awards. Laminar specializes in retrofitting factory infrastructure with sensors that enable process-aware autonomy.
Why it matters
Manufacturers are increasingly adopting dynamic cleaning technology to curb rising resource costs and optimize production uptime. By replacing timer-based cycles, these systems reduce the water and chemicals required to maintain sanitation standards.
Laminar’s process-aware autonomy systems deliver 20% lower chemical and water consumption per cycle compared to traditional timer-based methods. These retrofits also increase average cleaning cycle speeds by 15%.
The players
Laminar
A Somerville-based technology firm that designs process-aware autonomy systems for factory retrofits.
Association for Dressings and Sauces
An industry trade group that provides research, networking, and recognition for manufacturers.
The details
Laminar installs inline sensors on existing pipework to monitor factory line flow in real time. These sensors feed data into models that interpret chemistry levels against the optimal process state, allowing the system to advance cleaning cycles dynamically rather than waiting for fixed timers to expire. This approach directly reduces utility consumption and downtime on manufacturing lines.
Timeline
October 4-6, 2026: The ADS Annual Business Forum will take place in Philadelphia.
Market Landscape
This nomination signals growing industry recognition for Laminar following its receipt of the 2026 FoodTech Innovation Award. It marks a broader shift toward integrating autonomous sensors in legacy food manufacturing infrastructure to improve efficiency.
Manufacturers should evaluate whether retrofitting existing lines with sensor-based autonomy could yield similar resource savings in their own facilities. Operators should compare these performance gains against current utility costs to determine the payback period for such upgrades.
The takeaway
Laminar demonstrates that manufacturers can achieve significant efficiency gains by shifting from fixed-timer cycles to process-aware sensor controls. Operators should monitor the results announced at the ADS Annual Business Forum to identify emerging hardware standards in production sanitation.
Further reading
For more on industry trends, visit the Manufacturing section.
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Do you believe food manufacturers should use AI to automate cleaning and production processes?









