Physical AI for mission-critical operations.
Edgescale AI bridges the gap between the cloud and the physical edge, enabling real-time intelligence where humans and machines work together.
PHYSICAL AI PARTNER ECOSYSTEM
The biggest names in AI trust Edgescale as their partner at the edge.
Bringing AI to hard-to-reach data.
Edgescale’s Physical AI Infrastructure is the integrated hardware and software layer that runs AI in the real world, coordinating data across discrete physical devices around the clock to deliver useful outcomes for operators in the field. It’s the mechanism that translates AI inference into real economic productivity gains.
Unfortunately, most Physical AI projects stall out in the pilot phase due to the complexities of deployment, integration, and testing. Edgescale’s Cube solves this. It’s a single, integrated Physical AI appliance that eliminates deployment challenges, integration headaches, and reliability issues of DIY Physical AI projects. It dropships to your location, installs in hours, and provides ROI within months – all while keeping your data private within your facility.
Outcomes
AI where the work happens.
Our Physical AI Infrastructure powers AI in the places that keep society running – manufacturing floors, hospitals, utilities, transportation networks, and more.
Typical Annual Value
$1-5M
per site, per year
in downtime reduction,
yield/quality gains
What we deliver
Reduce defects and scrap in real time.
Increase uptime of production assets.
Automate set-point control to improve yield.
Typical Annual Value
$500K-3M
per site, per year
in energy savings, outage
prevention & ops efficiency
What we deliver
Keep grid and facility assets running longer.
Cut energy waste through smarter scheduling.
Improve traffic flow and public safety.
Typical Annual Value
$500K-2M
per site, per year
in avoided incidents, downtime
& compliance costs
What we deliver
Catch safety violations before incidents occur.
Prevent equipment failures on site.
Monitor emissions and stay compliant.
Typical Annual Value
$500K-2M
per site, per year
in maintenance, throughput
& logistics cost reduction
What we deliver
Keep vehicles safe and equipment out of the shop.
Move more product through, faster.
Push software and map updates without the cloud.
Typical Annual Value
$2M-15M
per site, per year
in avoided downtime, energy recovery & safety incident reduction
What we deliver
Catch equipment anomalies before they trigger unplanned downtime.
Cut energy and flaring losses across remote sites.
Optimize the throughput of existing systems without new capex.
meet the cube
Your on-site AI engine for operations.
Edgescale’s Virtual Connected Edge (VCE) solution – The Cube – connects to your existing machines, devices, sensors, and industrial systems and provides the runtime for local AI. It dropships the best of AI and cloud-native software to your operational environment and unlocks a revolution in productivity.