AI-driven energy optimization platform for commercial buildings using IoT data analytics. Targets EU facility managers with real-time load balancing, predictive maintenance, and automated grid coordination.
EnerOptix revolutionizes commercial energy management through machine learning analysis of HVAC and lighting systems. Designed for ESG-conscious organizations, the platform enables 15-30% energy savings while complying with EU efficiency regulations. By transforming buildings into responsive grid assets, it bridges the gap between operational costs and sustainability targets.
Core functionality
AI engine processes IoT data from building systems to optimize energy use through: real-time load balancing across zones, predictive equipment failure alerts (14-day horizon), and automated participation in grid demand-response programs via API integrations.
Target user and segment
- Mid-sized commercial property managers (25k-100k sqft)
- ESG-focused real estate investment trusts
- Municipal governments managing public infrastructure
Recommended tech stack
- AI Layer: TensorFlow LSTM models
- IoT Hub: Node-RED + MQTT protocol
- Data Pipeline: Kafka & TimescaleDB
- Frontend: React dashboard with Three.js visualizations
Estimated MVP costs
Total development range: 800-1,150 hours (€80k-€115k)
- Algorithm development: €40k-€60k
- Device integration: €25k-€35k
- Dashboard creation: €15k-€20k
SWOT-analysis
- Strengths: Patent-pending anomaly detection
- Weaknesses: Retrofit requirements
- Opportunities: EU subsidy programs
- Threats: Legacy BMS upgrades
First 1000 customers strategy
€85k-€120k acquisition budget:
- LinkedIn ABM campaigns (€75 CPA)
- HVAC contractor partnerships (€35 CPA)
- Municipal audit conversions (22% rate)
Monetization
Tiered subscriptions (€299-€899/mo) + 15% savings share. Break-even at 420 mid-tier accounts covering €230k annual costs. Core team: 3 FTEs + installation contractors.
Market positioning
Differentiated through automated price-response in DACH (€1.2B) and Benelux (€680M) markets. Competes with GridPoint and BrainBox AI while integrating with Siemens/Schneider systems.
