The PRANA prognostic system absorbed ROTEC's more than 7 years of experience in the production and maintenance of basic power equipment. The system has been in commercial operation since 2015 as an OEM-independent boxed solution for predicting the state of industrial equipment, reliability management, and monitoring.

3.5 million

digital equipment
operating hours
analyzed by the system

238 incidents

prevented by PRANA
and the RDS Situational Center

More than $4 billion

value of the equipment
protected by PRANA

PRANA: Protecting Critical Assets

Approved by insurance companies

PRANA is used to investigate incidents in the Russian energy sector. A major Russian insurance company considers the use of PRANA when calculating its insurance rate.

Versatility of PRANA

PRANA uses versatile mathematical algorithms that support any type of equipment, including turbines, engines, compressors, pumps, boilers, etc.

Rapid commissioning

Just one month is required to install the system on industrial equipment from most manufacturers without modification or additional configuration.

6 Tb archive of historical data

Largest archive of historical data among OEM-independent predictive analytics solutions.

Various supported equipment

View all

of most manufacturers

Siemens
General Electric
Alstom
Ansaldo

Power Machines, LMZ
REP Holding
Ural Turbine Works
Istroenergo Group

Howden
Borsig
GEA Grasso
UEC

Kaluga Turbine Plant
Sibenergomash – BKZ
Doosan Škoda Power
Mapna Group

Business Value

Optimizing downtime

Controlling the technical condition allows for additional work during planned shutdowns. This reduces unplanned downtime.

Cut your repair costs

PRANA reduces equipment repair costs by forecasting residual life, enabling long-term planning, the timely procurement of spare parts, and optimizing logistics

Monitor personnel and equipment

Assess the quality of work performed by personnel and contractors, monitor compliance with the terms and rules for operating equipment. Plan your costs and capacity utilization in real time.

Corporate cloud-based expert environment

By analyzing historical data you can identify the causes of an incident and assess whether the actions taken by personnel and the behavior of equipment were correct.