Industrial Equipment Doesn't Wait for the Cloud. Your AI Shouldn't Either.
Sphere's Industrial Edge Anomaly Detection solution deploys trained ML models directly onto industrial edge devices – detecting equipment faults, process deviations, and safety hazards in real time, at the machine, with sub-10ms response. Fully functional during network outages.
Organizations around the world trust us
Why This Matters Now
Heavy industrial environments – oil refineries, power plants, mining operations – can't wait for cloud-based AI inference when equipment is showing signs of failure. A 200ms cloud round-trip is the difference between catching a compressor surge and a $5M explosion. These environments also frequently operate in areas with unreliable connectivity, making cloud-dependent AI operationally unacceptable.
1. Cloud-Dependent AI Fails When You Need It Most
Remote facilities, underground operations, and network-isolated industrial environments lose connectivity exactly when operational stress is highest – taking cloud AI offline during critical moments.
2. Latency Is a Safety Issue
For compressor surge detection, transformer protection, and pressure relief monitoring, a 100ms+ cloud round-trip isn't just slow – it's potentially catastrophic.
3. Existing SCADA Systems Lack AI Capabilities
Legacy SCADA and DCS systems excel at data collection and control but have no native anomaly detection or predictive capabilities – leaving critical equipment intelligence on the table.
What Sphere Delivers
Sphere deploys trained anomaly detection models on industrial-grade edge computing devices (AWS Greengrass, NVIDIA Jetson, or ruggedized industrial PCs) – positioned physically at equipment or in local control panels. Inference runs locally, at full speed, 24/7 – regardless of network status. Cloud connectivity is used for model updates and aggregated analytics, not for real-time inference.
Equipment-Specific Anomaly Models
Custom-trained models for your specific equipment types – compressors, turbines, pumps, motors, heat exchangers – capturing the unique signatures of impending failure for each asset class.
Multi-Signal Fusion Analysis
Fuse vibration, temperature, pressure, flow, current, and acoustic signals for dramatically higher detection accuracy than single-parameter threshold monitoring.
Real-Time Safety Integration
Anomaly detection outputs can directly trigger safety system responses – alarm activation, speed reduction, automatic shutdown – via hardwired or OPC-UA integration with existing safety systems.
SCADA/DCS Overlay Architecture
Sphere's edge AI layer sits on top of existing SCADA and DCS infrastructure – adding AI intelligence without replacing existing control systems or requiring process downtime.
Federated Learning Across Fleet
Anomaly patterns discovered on one asset improve models across your entire equipment fleet – enabling the detection of rare failure modes that no single site would see enough examples of alone.
Edge Deployment, Model Updates & Fleet Control
Run anomaly detection continuously at the asset level while managing models centrally across sites and equipment groups. Sphere handles edge rollout, version control, health monitoring, and secure model updates.
Built On Industry-Leading Technology
Sphere's edge AI platform is built for real-time industrial inference directly at the equipment layer, where latency, uptime, and control-system compatibility matter most. The stack combines GPU-accelerated edge compute, AWS-based model training and fleet aggregation, industrial protocol support, and local time-series storage so anomaly detection can run continuously on site while fitting into existing SCADA and operations environments.
We'd love to hear from you!
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Who This Is For
Compressor surge detection, pump cavitation monitoring, separator level anomaly detection – at remote facilities with intermittent connectivity.
Turbine vibration monitoring, transformer partial discharge detection, and cooling system anomaly detection at power plants.
Conveyor belt anomaly detection, crusher monitoring, and ventilation system fault detection in underground environments.
Reactor temperature and pressure anomaly detection, agitator fault monitoring, and heat exchanger fouling detection.
Pump station anomaly detection, filter performance monitoring, and aeration system fault detection.
Schedule a Free Industrial AI Assessment
Sphere's industrial AI engineers will assess your facility's top equipment risk areas, evaluate your existing sensor and SCADA infrastructure, and propose an edge AI deployment plan with projected ROI.
How It Works
Equipment Audit
Sphere engineers review target equipment, existing sensor infrastructure, and SCADA/DCS architecture to define integration points and sensor requirements.
Sensor Deployment
Install or leverage existing vibration, temperature, pressure, and acoustic sensors on target equipment. Connect to edge gateway.
Model Training
Collect 2–4 weeks of normal operating data. Sphere trains anomaly detection models specific to each equipment type.
Edge Deployment
Deploy trained models to industrial edge devices. Configure SCADA integration and alarm outputs.
Equipment Audit
Sphere engineers review target equipment, existing sensor infrastructure, and SCADA/DCS architecture to define integration points and sensor requirements.
Sensor Deployment
Install or leverage existing vibration, temperature, pressure, and acoustic sensors on target equipment. Connect to edge gateway.
Model Training
Collect 2–4 weeks of normal operating data. Sphere trains anomaly detection models specific to each equipment type.
Edge Deployment
Deploy trained models to industrial edge devices. Configure SCADA integration and alarm outputs.
ROI & Business Impact
Downtime & Safety Savings
Industrial edge AI deployments achieve average unplanned downtime reductions of 60%, saving $3M–$8M annually for large industrial facilities. Safety incident risk reduction from earlier detection translates to $500K–$2M in annual risk cost reduction.
Payback in 4–7 Months
Average payback period: 4–7 months for oil & gas and heavy industrial applications.
Hear from
our clientsHear from our clients
Lee Ebreo
VP of Engineering at Credit Ninja
These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.
Selah Ben-Haim
VP of Engineering at Prominence Advisors
Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).
Ben Crawford
Senior Product Manager at Enova Financial
I would expect to be delighted. It's been a really positive experience, working with Sphere, and I would expect you to have the same.
Mark Friedgan
CEO at CreditNinja
Sphere consistently prioritizes the needs of their clients, demonstrating both agility and teamwork. As an offshore team, they have been an integral part of our organization and we plan to continue growing with them.
René Pfitzner
Co-Founder at Experify
Sphere provided excellent full-stack development manpower to augment our team and help push our product forward. They are easy to work with, tech-savvy and proactive.
Bruce Burdick
Chief Information Officer at Integra Credit
We've been working with Sphere and its excellent consultants since our founding. I've found that they are true partners in the success of our business.
Jemal Swoboda
CEO at Dabble
The resources and developers that Sphere Software provides are skilled and have the required technical expertise, but more importantly, they have helped us build a culture of excellence within our team.
Arthur Tretyak
Founder and CEO at IntegraCredit
With Sphere, we were able to migrate in half the time it would take to train an additional FTE… and for a fraction of the cost. Our experience with Sphere has been exceptional.
Lee Ebreo
VP of Engineering at Credit Ninja
These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.
Selah Ben-Haim
VP of Engineering at Prominence Advisors
Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).
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