Maven Robotics, founded by Hamza and Khalid Derbas, has announced it is coming out of stealth after raising $100 million. The round included RoboStrategy, LocalGlobe, Vine Ventures and XTX Markets Ventures. The company plans to manufacture 250 units of its third-generation robot and to begin designing a fourth-generation platform.
Early wins and founding story
Hamza Derbas said that when Maven was essentially a fresh startup in 2024 — “a cartoon of a robot and a team of people,” in his words — he managed to secure a meeting with a large consumer goods company that had been speaking to several rival robotics firms. Instead of debating robotics concepts, he asked to tour the company’s factories and warehouses. Maven used those visits to identify immediate operational flows where it could add value and won the contract against competitors that already had deployed robots.
Hamza and his brother Khalid, who is Maven’s CFO after a career in private equity, founded the company. Hamza spent nine years at Apple in the company’s special projects group — widely thought to have worked on an autonomous vehicle program — which was disbanded in 2024 before he left to start Maven.
What the robots do
Maven’s robots operate on wheeled bases capable of roughly 10 miles per hour (about 16 km/h) and have two arms that can each lift up to 30 kilograms. Their primary task is mixed palletizing: incoming boxed goods from different factories are combined into new pallets tailored for specific retail orders. Retailers often need to change the mix within 48 hours based on real-time demand, a job that is still largely done manually in warehouses.
At Maven’s Santa Clara facility, the company demonstrates robots using vacuum suction grippers to pick and arrange boxes at operational speeds. A live video feed shows two robots running at a customer site while workers move around them.
Operational focus and data-driven iteration
Derbas emphasizes that Maven aims to solve tasks end to end, not to address a single robot subproblem. Their systems hook into warehouse management systems and manage product flow through to trucks. After two years of work with the initial customer and several partners, Maven reports that as many as eight robots are operating 16 hours a day with 99% or higher uptime in some deployments.
The company leans on talent and techniques developed in self-driving car efforts: those projects have produced mature methods for training autonomous hardware on real-world data. That requires fast data pipelines that return operating data within minutes or hours so teams can retrain models, run evaluations and ablation studies, choose new weights, redeploy, and iterate rapidly.
Jack Pearson, an investor at RoboStrategy who backed Maven, said the company’s advantage is its background in industrial systems rather than a research culture optimized solely for learning or a particular architecture.
Competition, market and next steps
A somewhat comparable company is Agility, which is going public this fall via a $2.5 billion SPAC deal and also focuses on safety and industrial workflows. Agility’s robots are bipedal; while Derbas expressed respect for the company, he argued two-legged designs “make zero sense for anything they’re doing,” calling them complex, unreliable and an unnecessary cost — while emphasizing that ROI is the critical metric.
Maven is targeting the mixed palletizing opportunity within a larger palletization market that the article frames as roughly an $80 billion opportunity. However, the next wave of tasks Maven wants to tackle will require robotic manipulation capabilities that do not yet exist, so the company is pursuing a steady, task-by-task strategy to build data and capabilities.
Their next major push is collecting more operational data and training robots to handle a wider variety of materials, then moving toward automation and fabrication. Maven will use its internal systems, third-party providers and has developed pincer-like gloves enabling humans to emulate desired gripper form factors, helping inform gripper design. Although the company positions itself as a general-purpose robot maker, its strategy is pragmatic: solve one customer problem at a time to accumulate the data needed to master new skills.
"We’re grounded in solving one customer problem at a time," Derbas said. "If you focus on solving problems and you pick sizeable problems, each problem is a multi-billion-dollar market. If you do that, there’s plenty of data to master these skills."
Derbas sees this iterative, operations-focused path as the most viable way to deploy robots at scale in workplaces, while acknowledging the risk that a breakthrough physical AI model from frontier labs could rapidly change the competitive landscape. "We’re not in the race for models—we’re in the race to solve industrial labor and make this work possible at the scale the world needs," he told TechCrunch.
Key numbers and facts
- Founded/first public activity: 2024 (Maven was a new startup then).
- Funding: $100 million from RoboStrategy, LocalGlobe, Vine Ventures and XTX Markets Ventures.
- Production plan: 250 third-generation robots; work begun on fourth-generation design.
- Robot specs: wheeled base, up to 10 mph (~16 km/h), two arms, up to 30 kg lift capacity per arm.
- Deployment metrics: some customer sites report up to eight robots running 16 hours a day with 99%+ uptime.
- Target market: mixed palletizing within a palletization market estimated at roughly $80 billion.
