How August Robotics Is Using Robot Fleets to Accelerate AI Data‑Center Construction

Demand for AI infrastructure is pushing data‑center construction to its limits. To address the bottleneck, robotics company August Robotics is deploying autonomous downward‑drilling robots designed to automate one of the most repetitive and time‑consuming tasks in large builds: drilling thousands of precise holes in concrete floors for racks, anchors, and structural elements.

Early pilot deployments suggest the approach can dramatically accelerate large projects. In tests with a major hyperscale technology company, the system drilled more than 90,000 holes with 99.97% accuracy, operated up to 10× faster than traditional drilling methods, and reduced construction timelines by as much as 80 weeks across 10 phases of data‑center construction.

The core idea: fleets of robots instead of one machine

Rather than selling a single robotic tool, August Robotics is building a fleet‑based construction automation system. Multiple robots operate across a jobsite simultaneously while being coordinated through a shared robotics platform that handles navigation, task scheduling, and jobsite data.

This model allows contractors to scale output quickly: adding more robots increases throughput without needing large crews of specialized operators. The system is designed to automate high‑volume drilling tasks common in hyperscale builds, where tens of thousands of identical holes must be drilled with millimeter‑level precision.

The robots themselves were developed in collaboration with DEWALT, a Stanley Black & Decker brand, combining industrial drilling hardware with August Robotics’ autonomous navigation and fleet‑orchestration software.

Why downward drilling matters for data‑center builds

Concrete floor drilling is a deceptively large part of data‑center construction. Massive facilities require precise anchor points for server racks, structural legs, and cable infrastructure. Traditionally, crews drill these holes manually using handheld tools—an approach that is labor‑intensive and difficult to scale.

Autonomous drilling changes the economics of the workflow.

In pilot deployments, the robotic system:

• Drilled holes up to 10× faster than traditional methods.
• Achieved 99.97% drilling accuracy across more than 90,000 holes.
• Removed up to 80 weeks from construction schedules across 10 project phases.

Higher precision also reduces rework and errors during installation, which can further improve productivity and reduce the cost per hole in large projects.

Built for hyperscale AI infrastructure

The technology arrives as global demand for AI compute is driving a surge in new data‑center construction. Hundreds of new facilities are being planned worldwide, and construction speed has become a critical competitive factor for hyperscalers trying to deploy AI capacity quickly.

Fleet‑capable robots are particularly suited to these projects because:

• Data centers involve repetitive, high‑volume construction tasks.
• Large sites allow multiple robots to operate simultaneously.
• Tight schedules reward automation that removes manual bottlenecks.

By automating precision drilling at scale, robot fleets can transform a task that once required large crews into a coordinated autonomous workflow.

How the $30M Series B will accelerate deployment

In 2026, August Robotics raised $30 million in Series B funding led by Big Pi Ventures, with participation from investors including Blackbird, Skip Capital, Tanarra, Future Family Office, and GS Futures.

The company says the capital will support several growth priorities:

• Scaling robot fleets globally to handle larger construction projects.
• Expanding production and deployments of autonomous drilling systems.
• Developing its robotics platform and additional robot products.
• Growing operational hubs across the U.S., Europe, Asia, and Australia.

The strategy reflects a broader shift in robotics: companies increasingly focus on software‑coordinated fleets of specialized robots rather than single standalone machines.

The bigger shift toward automated construction

Construction has historically lagged behind manufacturing in automation, but robotics companies are now targeting specific, repetitive job‑site tasks such as layout marking, excavation, and drilling. August Robotics itself previously deployed autonomous robots for exhibition floor marking before adapting its platform to construction workflows.

Downward‑drilling robots represent a step toward fully automated jobsite workflows, where fleets of robots handle repetitive precision tasks while human crews focus on planning, installation, and supervision.

If the early pilot results scale reliably across more projects, fleet robotics could become a key tool for delivering the next generation of AI infrastructure—faster and with fewer labor bottlenecks than traditional construction methods.