Pioneer in process plant
data analytics & solutions

We deliver automated data analytics tools that systematically analyze the historical data of a plant and create a knowledge resource to assist the decision makers for enhanced asset utilization and productivity.

OPTIMAKX-NLA

Algorithm based assessment of plant wide oscillations can detect, diagnose and help mitigate the side effects of process NL.

OPTIMAKX-PID

This Akxa tool helps in regular, systematic Monitoring, Diagnosis, Tuning and Optimization of PID loop performances.

OPTIMAKX-FCE

This AKXA tool can help monitor the HEALTH of Valves, Dampers, Actuators, Pumps etc., detect malfunctioning and highlight their limitations.

About Us

“Efficiency Enhancing Products and Services to Process Plants"

AKXA team brings unique concepts and advanced technologies to optimize PROCESS PLANT performances. Technology driven company’s VISION is to “Develop and provide Efficiency Enhancing Products and Services to Process Plants“.

We bring solutions to the following problems:

PROCESS DATA OVERLOAD
PROCESS FLUCTUATIONS

CONTROL LOOP OPTIMISATION
COMPONENT DETERIORATION

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We address your challenges

Your Challenges

We bring advanced scientific tools and techniques to solve these challenges to enhance your plant performance.

Knowlegde Discovery

Measurements and Records are inherent to automated process plants. The automation DCS not only displays “NOW” status of plant machinery on CCR terminals but also continuously logs DATA into plant historian. In a typical medium scale process plant DCS on an average backs up 50 mB of data every day. Various data types, This data back up is a dead inventory unless harnessed to create value.

Process Fluctuations

Problems like varying external Disturbances, Forced MANUAL mode operation, ‘FAIL & FIX’ maintenance, sub-optimally tuned AUTO systems, sticky valves/damper/actuators, unstable feeding systems, uncalibrated instruments, process noise, choked TRANSPORT systems, multivariate non-linear processes, ALARM overburden, lack of pattern recognition tools giving plant wide views

Control Loop Optimization

PID control loops are inherent to process automation and contribute majorly to optimum (production & energy consumption) of the plant. PID loops are initialized and parameters are set while commissioning which do not stay stable due to changing input /output process conditions and equipment wear. Hence, most loops are sub-optimally tuned affecting their overall performance.