Dexory taps SimScale AI to speed warehouse robot design

Dexory's decision to deploy Engineering AI reflects a wider shift in how manufacturers are approaching product development. While AI has already become central to the robots operating inside warehouses, the use of AI in the engineering processes that design and test those robots is still emerging. According to SimScale's CEO David Heiny, many engineering teams are still defining how AI will fit into their workflows, but forward-thinking companies are already investing to understand that fit quickly.

The scale of opportunity is substantial: with the warehouse robotics market projected to grow from $14.7 billion in 2024 to $117 billion by 2034, manufacturers face mounting pressure to accelerate product development without compromising on performance or reliability. Dexory's approach—using AI to reduce investigation time for structural failures, automate simulation reporting, and preserve engineering knowledge—directly addresses that tension. Rather than pursue productivity gains alone, the company is treating the pilot as an opportunity to learn where AI agents can genuinely reshape how engineers work, a mindset that may influence engineering practices across the broader robotics industry.