AI Expert For Power

While the turbines and other large rotating equipment form the most critical components, static equipment such as boilers and other auxiliary systems can contribute to more than 50% of unexpected failures and performance losses. UptimeAI helps you cover full balance of plant and stay competitive in today’s data-driven world.

Opportunities in Power

Costly Failures
Equipment downtime can be a costly affair. Traditional methods of monitoring just critical rotating equipment leave room for failures due to peripheral and static equipment resulting in revenue loss.
Expensive Repairs
Approaches that rely on monitoring symptoms in tier-1 assets such as turbines ignore causes beyond the equipment boundary and miss the opportunity to find issues before the damage even begins.
Efficiency Losses
Complexity in analyzing systems with hundreds of parameters makes it difficult to identify reasons behind the efficiency loss, leading to lost opportunity in heat rate and aux power improvement.

Comprehensive Coverage with Virtual Expert

Every Equipment Counts

Increase Reliability with Full Plant Coverage

With unique system-level models, UptimeAI offers a practical and cost-effective way to monitor every single sensor and equipment – the full balance of plant. Avoid 100s of false alarms and get precise alerts with deep learning models.

Reduce performance loss with explanations

Unique deep learning models can analyze even complex systems with thousands of sensors to explain the reason behind loss of performance. Improve station heat rate and optimize auxiliary power consumption.

Improve people productivity

Increase workforce productivity with our intelligent system that can analyze upstream/downstream impacts and explains failure modes. Empower people with AI-driven solution that automates mundane and repetitive tasks.

Increase Reliability with Full Plant Coverage

Reduce performance loss with explanations

Improve people productivity

Testimonials

With UptimeAI, you are one step ahead of unexpected losses. Traditional approaches cannot keep up with the complexity of large data and processes. With UptimeAI, we can get early warnings and accurate diagnosis of equipment/process anomalies and loss of efficiency, increasing plant profitability.