The Singapore manufacturer spent decades becoming the workshop behind famous brands. One brutal phone project exposed the danger of betting the factory on a customer - and rewrote how Hi-P takes risk.
Founded in 1927 to keep radios from frying, Littelfuse now makes the fuses, semiconductors and sensors that quietly protect everything from EV chargers to data centers - a $2.4 billion business built on parts most people never see.
Everyone knows the red logo from the camera strap. Almost nobody knows Canon also builds hospital scanners, factory-floor optics, and chip-making machines - and files more U.S. patents than almost anyone. Here is the whole company behind the shutter.
It prints your shipping labels, hems your curtains, and turns the motors on a factory line. Brother has spent 70 years in America being useful in ways most people never connect to the same company.
Most people never see a Teradyne machine, yet its testers stand between ambitious chip designs and the devices we trust. Now the 66-year-old Massachusetts company is applying the same factory-floor discipline to AI hardware, advanced packaging and robots that work beside people.
EthonAI (now branded Ethon) is a Zurich-based industrial AI company, spun out of ETH Zurich in 2021, that builds a Manufacturing Analytics System for factories. Its no-code platform layers on top of existing factory data sources to detect visual defects, monitor processes and run autonomous root cause analysis, using causal AI to explain what drives production variation. Customers including Siemens, Lindt & Sprüngli, Bosch and Roche use it to cut quality losses by up to 50% and raise productivity while keeping engineers in the decision loop.
Impossible Objects is a Northbrook, Illinois manufacturer of industrial 3D printers built around its proprietary CBAM (Composite-Based Additive Manufacturing) process. Instead of melting plastic filament, CBAM stacks long-fiber sheets of carbon fiber or fiberglass, inkjet-prints each layer with a fluid, bonds them with high-performance polymer powders like PEEK and nylon, then compresses and heats the stack into a solid composite part. The result is parts the company says are stronger, more dimensionally accurate, and printed up to 15x faster than competing methods - aimed at aerospace, defense, automotive, and electronics customers that need composite parts at production volume.
Instrumental is a manufacturing AI and data platform that helps brands like Meta, NVIDIA, Cisco, and Bose catch defects on the factory floor by aggregating images and signals from production lines and running discovery-driven machine learning on them. Founded by ex-Apple engineers, the company turns the noisy, siloed world of high-mix electronics assembly into a searchable, controllable dataset.
Anna-Katrina Shedletsky is the CEO and co-founder of Instrumental Inc., a Palo Alto-based AI manufacturing software company she founded in 2015 after six years at Apple—where she spent 300+ days in Chinese factories debugging manufacturing issues for the iPod and led product design for the original Apple Watch. At Instrumental, she is converting those factory-floor battle scars into software that uses AI and cameras to find defects and eliminate waste on electronics assembly lines, with customers including Cisco, Honeywell, Bose, Meta, and Lenovo. The company has raised $80.3M in total funding and was named Fast Company's #2 Most Innovative Manufacturing Company in 2021. She also founded the Women in STEM Mentorship Program (WISMP) at Stanford in 2013, which now spans multiple universities.