Hive raises $15M to automate existing industrial machines
Hive’s funding round backs a physical-AI strategy focused on adding intelligence to machinery companies already own rather than building entirely new robots.
Physical AI does not necessarily need a brand-new humanoid body. One route to scale is making existing industrial machines smarter.
What happened
Hive raised a $15M pre-Series A led by SuperSeed, with participation from Veriten, Skyfall and Nysnø.
The company develops a foundational model and software layer designed to automate existing industrial machines across sectors including construction, warehousing and production. It sells the capability through an autonomy-as-a-service model.
Why it matters
Hive is pursuing a more asset-light physical-AI thesis than companies building entirely new robot platforms.
Industrial customers already own large fleets of expensive machinery. Adding autonomy to those systems could reduce deployment friction because companies do not need to replace their entire hardware base.
The challenge is interoperability: different machines, environments and safety constraints make generalisation difficult. If Hive can create a software layer that works across multiple categories, that could become a meaningful infrastructure position.
The bigger picture
The robotics market is splitting between companies building new hardware and companies building intelligence layers for existing equipment.
The second path may scale faster in some industries because it works with installed assets and established workflows. Hive’s round is a signal that investors see software-defined autonomy as a distinct physical-AI category.