At Hexagon, we don’t just measure the world – we define its future.
As the global leader in measurement technologies, we provide the confidence that vital industries rely on to build, navigate, and innovate.
From microns to Mars, our solutions drive productivity, quality, safety, and sustainability.
Manufacturing Intelligence equips innovators with the technology to shape a better reality.
By creating a digital thread for quality that connects the value chain, manufacturers can improve the entire process, achieve all of their desired outcomes and transform people’s experiences with products that redefine their category.
Fusing digital and real worlds, we create immersive digital twins of products, assets and facilities – manufacturers can test, explore, iterate entirely in the virtual world. Our system of engagement offers full enterprise alignment embedding advanced automation to drive optimisation and innovation to new levels.
We bring continuous improvement with generative, autonomous AI recommendations allowing manufacturers to create a higher quality world for all.
Measurement is the foundation of progress. When it has to be right, it has to be Hexagon.
For more information, visit hexagon.com/mi. Learn more about Hexagon (Nasdaq Stockholm: HEXA B) at hexagon.com.
BairesDev is your expert partner, working alongside you to build high-quality software — AI for the speed, top 1% engineers for the precision.
We mean "top 1%" literally: we receive more than 2 million applications a year and hire fewer than 1% of them. That is the standard every engineer on your team has met — 4,000+ senior engineers across the Americas and the Caribbean, in 50 countries, working in your time zone.
Since 2009 we've completed 1,200+ projects for 500+ clients — from disruptive startups to Fortune Global 500 brands including Google, Johnson & Johnson, and Rolls-Royce.
Bring us into your stack and your standards, and our engineers extend your team. Engage us for the full project, and we deliver end to end — including the AI systems themselves: agents, assistants, and data platforms running in production. And if you're still defining what an AI-native development lifecycle should look like, we have a program designed to guide it.
Bootstrapped since 2009, profitable since day one, and studied at Harvard Business School. Let's discuss what you're building →