Lumora

Lumora

AI-powered utility intelligence for data centers

We use AI and operational data to detect inefficiencies in data center cooling, power and compressed air systems and surface ranked recommendations to operators. Start with chilled water. Scale across the stack.

Our Capabilities

We focus on the utility systems that drive energy waste in data centers: cooling, power and on-site energy assets. No new hardware. We work with your existing operational data and infrastructure signals.

Chilled Water Optimisation

Setpoints fixed at commissioning and never revisited. Lumora detects headroom and recommends safe upward adjustments, reducing compressor load without thermal risk.

CRAH & Airflow

Detect recirculation hot spots, over-cooling conditions and fan inefficiencies across computer room air handlers. Ranked recommendations on supply temperature and airflow balance.

Power infrastructure and energy monitoring

Power Draw & PUE

Continuous monitoring of IT load versus facility overhead. Identifies UPS inefficiency windows, PDU load imbalance and operational levers to improve PUE.

Energy Orchestration

Data centers increasingly operate behind-the-meter assets: BESS, generators, solar and wind. Lumora reads signals across these and grid consumption to surface dispatch recommendations, turning sunk capex into active flexibility.

Founding Team

Three co-founders combining ML, energy infrastructure and commercial execution.

Harit Soni

Co-founder • Product & Partnerships

15+ years building and scaling cleantech, IoT and AI ventures across Asia, Europe and North America. TEDx speaker and multi-award-winning founder recognized by MIT TR35, Ashden, UNFCCC and WWF.

Johannes Parzonka

Co-founder • Commercial

Entrepreneurial leader with deep experience in renewables and carbon markets. Founded a green-gas venture and led M&A and business growth across wind, PV and biomethane sectors.

Caterina Giacomelli

Co-founder • Tech

Physicist and Data Scientist specializing in ML, signal processing and anomaly detection. Experienced in energy infrastructure and predictive modelling for data center operations.

Contact

We're working with data center operators on early pilots. If you're running a facility and curious about what your historian data could tell you, reach out.