
ControlisOS
Purpose-Built AI for HVAC Control
The first vertical AI platform designed exclusively for HVAC automation — trained on industry standards, optimized for commercial buildings, and engineered for results. As the founding partner and first customer of Controlis, ORRIS is actively collaborating to develop and validate ControlisOS in real-world commercial installations.

Industrial Control is Broken
Industrial control in SMB buildings is outdated, fragmented, and too expensive. Small and medium buildings can't afford smart automation due to costly manual engineering, vendor lock-in, and lack of AI optimization.
Manual Programming
Hundreds of hours per project spent on manual coding and configuration
High Labor Cost
50–80% of total project cost goes to engineering and implementation
Vendor Lock-in
Proprietary BAS/PLC systems create costly dependencies
Under-served SMB Segment
Millions of mid-size buildings lack affordable automation solutions
ControlisOS — Purpose-Built for HVAC Excellence
Unlike generic automation platforms, ControlisOS understands the nuances of climate control, energy efficiency, and ASHRAE compliance. Automatically generate verified control logic from technical specs and let technicians configure systems through an intuitive interface — no coding required.
AI Spec-to-Code Engine
Upload Functional Description Documents (FDDs) and instantly generate verified, industry-compliant control logic. The vertical AI is trained exclusively on HVAC standards, ensuring every line of code follows ASHRAE best practices.
- Automatic ASHRAE 36 compliance verification
- AI chat assistant for logic customization and refinement
- One-click generation from PDF, DOC, or TXT specifications
Real-Time Monitoring
Complete visibility into temperature, humidity, CO₂ levels, and energy usage across all HVAC units. Track system status, predictive maintenance schedules, and receive instant alerts for any anomalies.
- Live environmental metrics with trend analysis
- Energy consumption tracking and optimization
- Unit status monitoring across multiple locations
Predictive Analytics
Machine learning models analyze patterns and predict maintenance needs before failures occur. Prioritize actions based on AI confidence levels and potential cost savings.
- High-confidence failure predictions (92%+ accuracy)
- ROI calculations for each maintenance action
- Scheduled calendar with priority-based alerts
Three Steps from Specs to Deployment
Feed Your Specs
Upload functional descriptions and technical specs — AI parses requirements automatically
Review in Visual Builder
Drag-and-drop logic with real-time validation and industry-compliant templates
Deploy & Optimize
Live monitoring with AI tuning for continuous performance improvement
Real Impact for Your Business
70% Faster Design & Engineering
Automated logic generation dramatically reduces design time
30–50% Lower Setup Cost
Eliminate expensive manual commissioning and programming
20–30% Energy Savings
AI-driven optimization continuously improves efficiency
Faster ROI (1.5–2 Years)
Quick payback through reduced costs and energy savings
Predictive Maintenance
Reduce downtime with AI-powered fault detection
Fewer False Alarms
Smart diagnostics minimize unnecessary service calls
Ready for the Next Verticals Tomorrow
HVAC & Building Automation
Smart climate control for commercial and residential buildings with predictive optimization
Indoor Farms & Agriculture
Precise environmental control for vertical farms and controlled-environment agriculture
Urban Landscaping & Smart Irrigation
Intelligent water management and green space optimization for cities
Water & Wastewater Systems
Automated control and monitoring for municipal water treatment facilities
Founding Partner & First Customer
ORRIS K.S. is a leading Israeli industrial HVAC OEM with decades of expertise in building automation and environmental control systems. As the founding partner and first customer of Controlis, ORRIS is actively collaborating to develop and validate ControlisOS in real-world commercial installations — combining deep industry knowledge with AI-driven innovation to create the next generation of intelligent building control systems.