Ultra Raises $62 Million for Robots-as-a-Service Warehouse Packing and Ties Up With Physical Intelligence

Humanoid robots grab the headlines, but the robots doing real work in warehouses today look nothing like people. Ultra, a Brooklyn startup that leases packing robots to warehouses by the month, has just raised $62 million to scale that business.

Ultra raised $62 million across two rounds: a $50 million Series A led by Framework Ventures, with Y Combinator participating, and an earlier $12 million seed round led by Y Combinator and Next View. The company also announced a deeper partnership with Physical Intelligence, an AI research firm that Fortune reports is valued at $5.6 billion.

How the Business Works

Ultra builds robots that pack goods for shipping and installs them at third-party logistics sites. Customers pay an upfront integration fee and then a monthly fee that covers hardware and software support, so they do not need to spend large amounts of capital to buy machines. Ultra says its robots have packed more than half a million orders and that demand has been strong enough to let it raise prices. It has not disclosed its revenue.

The Physical Intelligence Tie-Up

Ultra takes a body-and-brains approach: it builds and installs the machines, while Physical Intelligence supplies the AI that helps the robots learn and improve in each customer's setup. For Ultra, that avoids building a foundation model of its own. For Physical Intelligence, it gets real-world data from working warehouses to train its models. These details come from the company's description and have not been independently verified.

Why Investors Are Interested

Subscription pricing turns a capital-heavy hardware business into recurring revenue, and recurring revenue is what many investors look for. Warehouse packing is also a narrow task with clear economics, which is easier to automate than general tasks. Ultra's chief executive says humanoid robots may take about five years to reach similar scale.

What This Means for Founders

Hardware founders can learn from the pricing model: charging for integration and ongoing service lowers the customer's risk and gives you a steady revenue line to show investors. Partnering for the AI layer instead of building it can also save years of work and capital. If you are preparing a Series A, show your recurring revenue clearly, with a believable ARRfigure and an explanation of how customers renew. Founders should also think about how much dilution a hardware build requires, since capital-heavy plans often mean larger rounds.

Browse the logistics investor directory for more active funds, read the baseline mechanics of a lead investor if the term is new, or explore active capital on AngelLinx @ angellinx.ai/register.

AngelLinx Intelligence | angellinx.ai