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Robotics-powered autonomous warehouse intelligence startup Dexory Ltd. wants to expand its operations after landing $165 million in fresh funding today.
The company, which uses robots, artificial intelligence and digital twin technologies, said the money came from a $100 million Series C round of funding and a $65 million debt facility.
LTS Growth and Endeavor Catalyst led the Series C round, and they were joined by existing investors DTCP, Atomico, Lakestar, Elaia, Latitude Ventures, Wave-X and others. The German logistics firm DB Schenker GmbH also participated. Meanwhile, the company’s growth debt facility was enabled by Bootstrap Europe.
Dexory is all about enhancing warehouse intelligence. It does so primarily through its enormous autonomous robot towers that are designed to patrol the enormous facilities where businesses and logistics firms keep their stock. The company’s DexoryView platform utilizes these robots to create a real-time digital twin of its customer’s warehouses to support continuous, up-to-date inventory tracking and provide operational insights that can improve the effectiveness of their logistics operations.
The company gets a lot of attention at trade shows and exhibitions because its robots are huge, standing at between 10 and 46 feet tall. They’re also loaded with different sensors, including barcode and RFID tag scanners to identify products and LiDAR to capture 3D data. Using these tools, the robots can create an accurate record of inventory conditions and warehouse space utilization, while identifying any safety risks to human employees.
Dexory says its robotic patrols and digital warehouse twins provide a lot of benefits, with increased inventory accuracy helping to improve operational efficiency. Tasks such as inventory audits – once conducted manually by humans – are essentially eliminated, replaced by a real-time record that’s continuously updated by the robots. Moreover, Dexory says its robots can adapt to different warehouse needs based on the customer’s prioritization of space efficiency or speed.
Dexory co-founder and Chief Executive Andrei Danescu (pictured, left) said the DexoryView software is also designed to integrate with existing warehouse management systems, and will automatically reconcile its physical scans of inventory with a company’s digital records. This means companies can modernize their warehouse operations incrementally, one facility at a time, without causing any major disruption. “Our AI learns from live data to recommend improvements that integrate naturally into existing workflows,” Danescu explained.

The startup also provides warehouse operators with data that other systems struggle to provide. In an interview with Automated Warehouse, Dexory’s vice president for North America Todd Boone said the company is focused on closing the loop by providing the most holistic and recent insights possible.
“For example, for stock integrity, DexoryView knows where a missing pallet is, in addition to where it should have been,” he said. “Once you have that understanding of the warehouse, you can optimize the movement of goods and avoid bottlenecks.”
Constellation Research Inc. analyst Holger Mueller said that inventory remains one of the toughest things for enterprises to understand, because in most cases it must still be audited manually. But this means it takes lots of time and is not always totally accurate. “Dexory is trying to change that with its innovative approach, using robots to automate warehouse operations and keep tabs on inventory in real time, and so it’s good to see it getting the extra funding it needs,” Mueller said. “It hasn’t said explicitly how it intends to use the money, but it will likely be split between product and sales expansion.”
Dexory, which raised $80 million in a Series B funding round just over a year ago, says it has been growing astonishingly fast, expanding its presence from across Europe to North America, where it has established a new headquarters in Nashville, Tennessee, and now the Asia-Pacific region. Today, leading global logistics firms such as DHL International GmbH, GXO Logistics Inc. and A.P. Møller – Mærsk A/S all use the DexoryView platform, along with manufacturers such as GE Appliances and Stellantis N.V., and various customers in the pharmaceutical, retail and e-commerce industries.
DCL Logistics Inc., a U.S. company that provides fulfillment services for high-growth brands, is another happy customer that now automates regular inventory audits that once took hours of manual effort. “They now complete counts ten times faster, improve pallet accuracy by 14% and save 16 hours of labor each day,” said Danescu.
One key advantage of Dexory’s platform, which has enabled it to grow so fast, is its modular nature. Because of this, it can support “flexible configuration to meet different operational realities,” Danescu said. For instance, in Europe, most warehouse operations tend to prioritize space efficiency and labor optimization, while in North America, there’s much more focus on speed and scalability.
Looking forward, Danescu sees his company helping customers to create more adaptive, self-learning warehouses that will understand the current state of their inventory, their needs, and then make decisions autonomously, but he admits that getting there won’t be straightforward. “The key challenges are interoperability with legacy systems, closing the skills gap, and building trust through explainable AI,” he said.
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