Laminar

If you're an equipment OEM or sanitation/quality validation firm with existing relationships in food & beverage manufacturing, this is for you. Laminar replaces static, time-based CIP and changeover processes with Process-Aware Autonomy — AI that runs the process itself, adapting in real time to what's actually happening in the line. Today, Laminar runs in 200+ factories across 600 lines on six continents with expansion accelerating faster than ever before. To meet the this demand, Laminar is building out a global partner network looking for: Partners with trusted plant relationships. Your customers already know the pain — long CIP cycles, slow changeovers, static setpoints tuned to worst-case assumptions. You bring the relationship. Laminar brings the technology. You stay the trusted advisor. Why partner with Laminar: → A reason to walk back into every F&B account you already serve → Recurring services revenue attached to every deployment and expansion → Full enablement — training, co-selling support, and a dedicated partner manager Interested in partnering with Laminar? Visit our Partner Hub today https://lnkd.in/gpByKBgP

We're proud to share that Laminar CEO & Co-Founder Annie L. was named one of the top 100 women in AI 2026 100 Women in AI. Annie has cemented Laminar's Physical AI as a frontier technology that reimagines how process manufacturers achieve productivity and sustainability at the same time. "Manufacturing is at an existential tipping point, and yet, operators continue to face tradeoffs between productivity and sustainability as their most fundamental waste and inefficiencies go unsolved," said Annie Lu, CEO & Co-Founder. "Laminar's Physical AI is a new category of technology that reimagines productivity and sustainability as shared goals — and I am honored to be in the company of these visionary women shaping the future of technology." Thanks to XFactor Ventures and Flybridge for this recognition, and for celebrating the women shaping how AI gets built and deployed across the global economy. Congratulations, Annie! Read the full announcement: https://lnkd.in/gANzWXH4

The flavor wheel maximizes line productivity — compatible SKUs, quick flushes, continuous output. New flavors break that rhythm. Incompatible or untested combinations force full clean-in-place cycles, and without enough run history to build confidence, quality teams default to worst-case every time. Laminar’s process-aware AI reads chemical composition at a sub-second level across every CIP and product changeover step. When the process is clean, the cycle ends — no timer required. Customers are already expanding their flavor wheel with validated rinse steps on combinations they couldn't touch before. Teams save time, utilities, and product across their operations with Laminar’s process aware autonomy. Watch the full conversation with Jonathan Mindnich: https://lnkd.in/eaQnaCeT

"The industry's fundamental inefficiencies have gone unseen and unsolved for decades. Laminar exists to change that." In the World Economic Forum's announcement naming Laminar a 2026 Technology Pioneer, CEO & Co-Founder Annie L. described why process manufacturing's moment has arrived — and what it means to bring Physical AI to the world's most demanding production environments. "Laminar is the first physical AI company delivering full autonomy at scale, across six continents in live manufacturing environments. When a factory can see and respond to what is happening inside its processes in real time, the factory can run both sustainably and productively. We're proud to bring that mission to the World Economic Forum and the Technology Pioneer community." Catch the full story and read the announcement: https://lnkd.in/eA-7XTMT

A veteran operator at a beverage facility could tell when a cleaning cycle was complete by watching foam through the sight glass. No timer. No conductivity readings. Decades of pattern recognition. When he retired, the team added fifteen extra minutes to every cycle, just to be sure the lines were clean. Across three lines running four cycles a day, that single buffer costs over 700 hours of production time per year. This is how inefficiency becomes institutionalized. The Great Retirement drains F&B manufacturing of this expertise fast. 40% of new hires leave within their first year. The knowledge needed to run these lines exists entirely in the heads of people who've been doing the job for 20 or 30 years. Meanwhile, SKU complexity has exploded. One sauce manufacturer runs 50 batches across 25 different SKUs in the same timeframe they once ran a single formulation. With that, plants have to rely on process aware AI to run self-driving CIP and changeovers that treat each cycle to condition and catch off-spec product instantly. Learn how Laminar is helping F&B manufacturers face the loss of expertise and SKU explosion challenges: https://lnkd.in/eSJZBsVb

Physical AI shows up in many forms in discrete manufacturing: spatially aware cameras, LiDAR, and robotic arms moving through space. Process manufacturing calls for a different kind of Physical AI — one that observes chemistry rather than space. In process manufacturing: • Environments are never the same twice. Variables such as temperature, chemistry, and line conditions change the process in real time. • Timer-based recipes run on static and worst-case assumptions, instead of real-time line conditions — wastes water, chemicals, energy, and production capacity. Process-Aware autonomy turns static, timer-based cycles in process manufacturing into self-driving processes, where factories run both productively and sustainably. Read the full breakdown: https://lnkd.in/dvJjd2j9

Laminar CRO Sanjay Rajan was on The Lantern by MGMT Boston. In his conversation with Matt Crane, he shared his insights on: ‣ What's driving adoption of Process-Aware AI across 6 of the top 10 F&B manufacturers in the world ‣ What are the most important GTM lessons he's taken from his time building out GTM teams. ‣ His litmus test for a working GTM playbook: how fast can a new salesperson get productive? Thank you to MGMT Boston for for showcasing the work Laminar is doing to bring Process-Aware AI to process manufacturing.

Laminar was at the FORGE Spring Startup Showcase last week in Somerville — an afternoon with hard-tech founders, manufacturers, and ecosystem partners building technology for the physical world. Laminar's CTO and Co-founder David Lu joined a panel discussion on what it takes to build in deep-tech. David shared lessons from bringing Physical AI into process manufacturing and deploying in live production environments at scale. Thank you to FORGE for a great event, and to everyone who stopped by our table.

Physical AI rewrote discrete manufacturing — robotic arms assembling cars, vision systems inspecting electronics, autonomous logistics moving across the floor. However, spatial intelligence can't transplant into process manufacturing, where the product flows, reacts, and changes chemical composition in real time. Process manufacturing demands a different kind of Physical AI — built from the ground up for a world of fluids and chemistry: Process-Aware Sensors — read chemistry rather than space, at the molecular level Process-Aware AI — models trained on the specific behavior of each line Process-Aware Insights — real-time action based on what the line actually needs Together they make Process-Aware Autonomy: every process ends the moment it should, production capacity increases, and process manufacturers run both sustainably and productively. Published in the World Economic Forum, Laminar CEO and Co-Founder Annie L. breaks down what Process-Aware Autonomy means for process manufacturers. Read it here → https://lnkd.in/gytMv7rX

Today, we are thrilled to share that Laminar has been named a 2026 World Economic Forum Technology Pioneer — one of 100 companies worldwide selected for technologies redefining their industries and driving transformational change for good. As Laminar CEO and Co-Founder Annie L. said, “Laminar is the first physical AI company delivering full autonomy at scale, across six continents in live manufacturing environments. When a factory can see and respond to what is happening inside its processes in real time, the factory can run both sustainably and productively. We’re proud to bring that mission to the World Economic Forum and the Technology Pioneer community.” The recognition places Laminar in a community whose alumni include Google, PayPal, and Dropbox, and reflects what we've set out to prove: that legacy industries like process manufacturing are ready for transformation delivered by the physical AI ready to scale. Thank you to the World Economic Forum, the team at Laminar, and all of our partners who help advance this mission. Read the full announcement: https://lnkd.in/eA-7XTMT