Squint

This CNN story on Steinway & Sons is about pianos. But it’s also about something bigger: the combination of art and science required to make American manufacturing resilient. Each Steinway piano takes nearly a year to complete. The product demands precision, patience, and an extraordinary level of skill. These instruments are the result of hundreds of decisions made by people who know the materials, the tools, and the intricacies inside and out. That kind of craftsmanship is rare. And as the article points out, it is also hard to preserve. Much of the work relies on knowledge passed from person to person. Details that don’t always show up in training manuals but matter just as much as any blueprint. We hear about this challenge from manufacturers of all kinds, which is why we’re building tools to make this kind of knowledge easier to capture and scale. (And serious respect to Steinway. A true masterclass in human-centered manufacturing.) https://lnkd.in/e4zBqm3q

Squint is headed back to Chicago this week for The American Food Manufacturing Summit! Since our inception here at Squint, we have been helping food and beverage manufacturers use AI and AR to transform their factory floors — you could even say this space is our ~bread and butter~ Our team (Devin Bhushan, James Jennings, and Ali Heera) will be on the ground all day Tuesday and Wednesday. They can’t wait to meet with folks looking to do more to reduce downtime, standardize work, and rapidly improve efficiency across manufacturing operations. Here's where to find us 👇 📍Visit us at Booth 16 🔄 Sign up for our Tuesday lunchtime roundtable — The Frontline Fix: How to Empower Operators to Fix Downtime, hosted by our Founder and CEO, Devin Bhushan 💻 Connect with us before, during, or even after the conference, at trysquint@squint.ai

Next Thursday, don’t miss an inside look at how leading manufacturing teams are using AI to rapidly capture and deploy expert knowledge across their frontline. What started with simple SOP digitization is quickly developing into agent-assisted operations. Hear from Devin Bhushan, Founder & CEO of Squint, and Jihern Baek, Product Manager for AI, during a live webinar as they share in-market Squint use cases — from operators doubling throughput to teams capturing and scaling expert knowledge faster than ever. Afterwards, stick around for a Fireside Q&A on what’s hype, what’s real, and where manufacturing AI is going next. 🎥 Agents in the Wild: AI on the Frontline 📅 November 6 | 10:30 AM PT / 1:30 PM ET Link to register in the comments👇

Thrilled to be joining Eric and his team for this webinar on November 20th. It will be a great conversation about how companies can use cutting edge tech to transform their factory floors, featuring Squint! Don’t miss it, sign up below!

AI isn’t coming to the factory floor — it’s already here. Manufacturers are using it to close one of the most debilitating gaps in modern production: the loss of tribal knowledge. Experienced operators are retiring, and with them, decades of hard-earned expertise is walking out the door. Join us on November 6 for Agents in the Wild: AI on the Frontline — a live session with Squint Founder & CEO Devin Bhushan and Dane Laughlin, Product Manager for AI and see how AI is being put to work on the frontline, and how Squint is helping teams improve efficiency, reduce downtime by 50%, and drive real impact on the bottom line. 🎥 Live webinar + Fireside Q&A 📅 November 6 | 10:30 AM PT / 1:30 PM ET Link to register in the comments👇

Jim Zhu and Dylan Conway, have been with Squint since day one, and as founding team members they have the true inside scoop on what it’s like to start something from the ground up. Thanks to Plug and Play Deeptech for bringing together people who are in the thick of building, and for giving our team a chance to share how Squint came to be — what we thought we were building, what we’ve learned, and how went from an idea to hundreds of Fortune 500 factories using Squint for their day to day operations. 

Two industries were supposed to drive America’s future. One is booming, the other is slumping. That’s the headline of a recent article from The Washington Post detailing the widening gulf between the AI industry and the manufacturing industry — with AI booming amidst volatility in American manufacturing investment. But the reality here is more complicated than the headline. Yes, manufacturing growth is slowing with new factories opening less frequently and job growth stagnating amidst tariff uncertainty (although new factories are still opening at a rate that is exponentially higher than a decade ago). And yes, at the same time, AI investment is accelerating, with trillions of dollars going into data centers, chips, cloud infrastructure, and innovation around super intelligence. But, an AI boom does not need to be at odds with American manufacturing growth. In fact, manufacturing may be one of the most important places for AI to deliver value — yet in so many of these conversations, it is being entirely overlooked. In the article, Mark Muro makes an incredibly important point: as a nation we may be over-indexing on AI superintelligence and under-indexing on practical applications of AI, especially in manufacturing and the rest of the physical world. I think that is exactly right, and it directly maps to what I have seen on factory floors with Squint. The practical application of AI in manufacturing is one of the most transformative use cases we have. And it’s already revolutioning efficiency at hundreds of factories. We can continue to revitalize American manufacturing by broadly deploying AI to increase efficiency and spark a new kind of Industrial Revolution. One that doesn’t just require building new factories, but also makes the ones we have far more productive. The AI boom can be the foundation for the continued boom of American manufacturing, we just have to make it happen. Link to the full article in the comments + interested to hear others thoughts on this👇

At The Connected Worker Summit Series today, a clear priority is emerging: helping frontline teams work more consistently, even as roles shift and expectations rise. That’s where Squint comes in. By turning expert workflows into clear, repeatable guidance, our platform helps operators ramp faster and stay confident in high-complexity environments. We’re at Booth #26 if you want to see it in action.

🚀 Full speed ahead here at Squint. We're building for the new industrial revolution and are hiring A LOT more engineers. At Squint, we are combining AI and AR to solve real-world problems on the factory floor. The tools you build will directly impact how work gets done at Fortune 500 companies –  from batteries to beverages. 🔍 We’re looking for: → Engineers who like solving messy, real-world problems → People who move fast and take ownership → Bonus if you’ve worked with AR, AI, or hardware (but not required) ⚙️ At Squint, you’ll: → Ship product quickly and see real user impact → Build on patented tech that’s already in the hands of frontline workers → Join a team that’s collaborative, ambitious, and actually fun to work with 📩 Apply by sending your resume to emil@squint.ai.

🚀 New from Squint: Time Studies On the shop floor, wasted minutes become real dollars — through higher scrap, slower throughput, and tighter margins. 🔍 That’s why we built Time Studies: a faster, smarter way to capture inefficiencies in real time, then eliminate them before they scale. Manufacturing leaders have long relied on stopwatches and spreadsheets. But by the time insights arrive, waste has already spread. Squint Time Studies changes that: ✅ Log steps by typing or speaking ✅ Run across shifts—even offline ✅ Auto-track with by the second accuracy ✅ Export clean, actionable data instantly Whether you're launching new lines or refining existing ones, Time Studies helps you protect the bottom line and scale what works. Schedule a demo to see it in action 👉 https://lnkd.in/eyHj9Ja5