For all the hype around artificial intelligence (AI) and machine learning (ML), there are surprisingly few solutions in production.
Our team comes from Google DeepMind, the world's top AI institution. We know AI. More importantly, we have a public track record of applying AI to large industrial systems — safely and in production — for measurable impact.
For example, we reduced Google's data center cooling energy consumption by 40%. This isn't a proof-of-concept or pilot. It's a fully-integrated solution delivering tangible savings 24/7.
As an AI services provider, we prefer to let our track record do the talking and won't mislead you with marketing hype or exaggerated claims. Our approach is simple: we work closely with our clients' domain experts to develop production-quality AI solutions.
Phaidra uses AI to maximize the performance of industrial facilities.
Why AI? Because most "low hanging fruit" to improve performance has already been implemented. At the same time, the rising scale and complexity of modern plants make it increasingly difficult to drive further efficiencies.
This is where AI shines. Unlike traditional methods to improve performance, AI-based systems analyze massive amounts of sensor data for real-time insights and operational intelligence. Best of all, AI-based systems get better over time because they're constantly learning from and adapting to your facility.
Not all AI is created equal. Phaidra's AI solutions are non-invasive and do not require additional hardware or software. We apply AI to your existing data to continuously optimize your industrial facilities. And of course, we bring our experience as one of the few teams that has implemented AI to production systems for large-scale impact.