IN Brief:
- Slamcore has raised $14m to expand its visual AI systems for industrial sites.
- The technology tracks vehicles and hazards using stereo cameras and AI.
- The funding reflects continued investment in warehouse safety, automation, and infrastructure-light visibility tools.
Slamcore has raised $14m to scale its visual AI technology for warehouses, factories, and other industrial environments.
The London-based company has now raised $40m in total funding, with the latest round backed by investors including Rockwell Automation Ventures and Toyota Ventures. Its systems use AI and stereo cameras to track industrial vehicles, improve situational awareness, and identify risks without requiring GPS, beacons, floor markers, or heavy fixed infrastructure.
Already deployed across more than 30 facilities in Europe and North America, Slamcore’s Aware and Alert systems are designed for indoor environments where satellite positioning does not work and conventional tracking infrastructure can be disruptive or expensive to install. The technology is aimed at sites where forklifts, mobile equipment, pedestrians, and automated systems operate in close proximity.
Warehouse automation investment is broadening beyond major goods-to-person installations and large robotic storage systems. Operators are also looking for visibility tools that can be fitted into existing facilities, especially where mixed fleets and manual workflows will remain part of daily operations for years.
Recent warehouse technology developments have shown that automation is no longer moving in one direction. Geek+ has been recognised for robotic arm picking technology, while Exotec is automating MUSINSA’s South Korean warehouse. Slamcore sits in a different part of the same market, providing the perception and tracking layer needed to make vehicle movement safer and more visible.
Safety remains one of the strongest commercial drivers. Forklifts and powered industrial trucks are central to warehouse operations, yet they also create persistent collision and near-miss risks. Tracking vehicle location, movement patterns, blind spots, and proximity hazards gives managers a better basis for intervention than incident reports or manual observation alone.
Infrastructure-light deployment is also important. Many brownfield warehouses have irregular layouts, temporary storage areas, changing workflows, narrow aisles, and mixed materials handling fleets. A camera-led system that avoids fixed beacons or floor marking can be introduced with less disruption than automation platforms that require facility redesign.
The investment also reflects a growing need to coordinate human-operated and automated equipment. As warehouses add autonomous mobile robots, robotic picking, operator-assist technologies, and conventional lift trucks, visibility becomes a control layer for the full site rather than a separate safety add-on.
Reliability will determine how quickly visual AI systems move from targeted deployments into routine warehouse infrastructure. The technology must work through changing light, crowded aisles, mixed equipment, dust, packaging variation, and high-pressure shift patterns. In logistics environments, performance during imperfect operating conditions is often more important than performance in controlled demonstrations.
If Slamcore can maintain accuracy at scale, its systems could provide a practical bridge between conventional materials handling and more automated facilities. For warehouses that cannot justify a full rebuild, better visibility of vehicles, people, and hazards offers a more immediate route to safer and more efficient operations.
