Hyperscale

Our
Mission

  • Decks and Patios icon

    Multi-agent AI on edge networks

    A team of AI agents run your industrial or embedded control systems resulting in increased performance, productivity, and efficiency; predictive maintenance, analytics on premises, and an overall 300% ROI.

  • Outdoor Spaces icon

    Edge AI ecosystems

    Multi-agent AI on edge networks results in a hyperscaled industrial capability, and implementing this capability into an adjacent vertical such as supply chain for example, would create a hyperscaled ecosystem.

  • Manufacturing and Industrial

    Today, office tasks are already automated by AI agent teams. Let us implement edge agents for your industrial automation. Purview ranges from analytics to dynamic control.

  • Transportation and Logistics

    Teams of agents can be deployed in freight operations and picking for supply chain logistics. Powerful cloud AI can ensure the most efficient routing .

GET IN TOUCH

🚀 Why AIoT for Hyperscale?
✅ Speed: Process data at the edge—eliminating cloud latency.
✅ Cost-Efficiency: Reduce CapEx & OpEx by optimizing resource allocation.
✅ Energy-Efficient: AI-driven power management cuts waste.
✅ Security & Compliance: Keep critical data on-prem, reducing cyber risks.
✅ Scalability: AI-optimized workloads adapt & expand instantly.

Transform your architecture, unlock agility, and scale without limits—all on-premise, powered by AIoT.

Is your infrastructure ready for the future? Let’s build it. 🔥

We are bringing AI-driven intelligence to industrial automation. Key applications include:

  1. 🔍 AI-Powered Quality Control

    • Detect defects in products using AI and cameras.

    • PLC removes or flags defective items on the assembly line.

  2. 🔧 Predictive Maintenance

    • AI monitors vibration, temperature, and motor health.

    • PLC schedules maintenance before failures occur.

  3. ⚡ AI-Based Energy Optimization

    • AI analyzes power usage and predicts waste.

    • PLC adjusts motors, HVAC, and lighting to save energy.

  4. 🚀 AI-Guided Robotics & Sorting

    • AI identifies and classifies objects.

    • PLC controls robotic arms to sort materials.

  5. ✋ Gesture & Voice Control for Machines

    • AI detects operator gestures or voice commands.

    • PLC adjusts machine settings without physical touch.

  6. 🛑 AI-Enhanced Safety Monitoring

    • Detects workers without helmets, safety gear, or in restricted areas.

    • PLC triggers alarms or machine shutdowns.

  7. 📦 Smart Inventory & Logistics

    • AI predicts stock demand and optimizes conveyor flow.

    • PLC automates material handling in warehouses.

  8. 🔄 AI-Driven Anomaly Detection

    • Detects unusual machine behavior before breakdowns.

    • PLC adjusts operations to prevent failures.

  9. 📡 Computer Vision-Based Barcode Scanning

    • AI reads barcodes and QR codes in warehouses.

    • PLC automates package routing and inventory updates.

  10. 📊 Multi-Sensor Fusion

  • AI combines data from vision, IoT sensors, and machine signals.

  • PLC makes smarter, real-time process adjustments.

📊 Key Performance Gains & Cost Savings

Revolutionizing Manufacturing Efficiency with AI-Driven Automation

✅ 90% Reduction in Calibration Time – AI eliminates manual tuning, cutting setup time from hours to minutes. This translates to significant operational efficiencies, freeing up resources for higher-value tasks.

📈 30% Increase in Throughput – Intelligent optimization dynamically adjusts machine parameters, reducing bottlenecks and driving higher production capacity. The impact scales with investment in automation, leading to exponential gains in output.

⚙️ 40% Reduction in Downtime – AI-driven predictive maintenance anticipates failures before they occur, minimizing unplanned shutdowns and extending equipment lifespan. The result is a more resilient, high-performance operation.

💡 20% Energy Savings – AI continuously learns and adapts machine power consumption for optimal efficiency. This intelligent energy management lowers operational costs while improving sustainability metrics.

🔍 50% Fewer Defective Parts with Automated Quality Control – AI-powered vision systems catch defects in real-time, ensuring higher first-pass yield, reducing waste, and minimizing rework. This enhances both cost efficiency and brand reputation.

⚡ Zero-Latency AI Response – On-premise AI eliminates cloud dependency, enabling real-time decision-making with 50x faster processing compared to traditional cloud-based automation.

🤖 Self-Learning Factory Network – Machines communicate and adjust performance dynamically, ensuring continuous optimization and peak efficiency across the production line.

🌐 Fleet-Wide Intelligence Sharing – When one machine learns an optimization, the entire factory benefits instantly, accelerating the compounding effects of AI-driven improvements across operations.

Scalable, Intelligent, and ROI-Driven Manufacturing Automation🚀

Our
Team

  • Anthony Dean

    President / AI-Driven Embedded Control Systems Architect

  • Tobias Dornai

    Vice President / Robotics & Automation Mechanical Engineer

  • Samuel Razumovsky

    Full-Stack Software Developer / Interdisciplinary Aerospace and Computer Engineer

  • Charles Kalis

    Systems Engineer / Model-Based Systems Research & Integration Engineer

  • Eirik Robertstad

    Network Engineer / Enterprise Infrastructure Architect and Senior DevOps Engineer

  • Brian Lester

    Advisor / Senior Program Controls Manager and Agile & DevOps Expert

  • Currently Onboarding:

    An AI computer scientist and electrical integration engineer