Aerospace & Defense

Problem Statement

Aircraft systems and defense assets require extreme reliability under high load, temperature, and vibration conditions. Predicting failures or inefficiencies before they occur is critical for safety and cost control.

Our Solution

CPATSS develops highly customized soltions for aircraft components, UAVs, and propulsion systems.
We integrate the products with high fidelity CFD, FEA, and control system simulations with AI-based condition monitoring to enable real-time performance prediction and mission-readiness analytics.

We design and develop next-generation sensors and digital intelligence solutions to tackle the toughest challenges in the oil and gas industry — particularly low flow-rate accuracy, sensitivity limitations, and data inconsistency.
Our goal is to ensure stable, precise, and reliable flow measurement, enabling smarter maintenance decisions and enhanced operational uptime.

Highlights

• Customized  flow, vibration, and temperature sensors optimized for multiphase and      harsh environments
• Simulation-driven calibration for higher accuracy and repeatability
• Cloud-based dashboards for real-time monitoring and predictive maintenance
• Seamless integration with digital twins and process control systems

Problem Statement

Modern facilities demand energy efficiency, occupant comfort, and equipment uptime — but traditional building management systems lack predictive insight.

Our Solution

CPATSS develops smart sensor networks, and IoT dashboardsto monitor building performance in real time.
Using AI/ML models and analytics, we help facilities teams identify energy leaks, optimize air quality, and forecast maintenance needs.

Highlights

• HVAC and air-flow digital twins
• Energy consumption optimization using AI-based control
• Multi-sensor data integration (temperature, humidity, vibration)
• Cloud dashboards for visualization and reporting

Problem Statement

Universities and research institutes often lack access to industrial-scale datasets, simulation infrastructure, and real deployment platforms, limiting innovation and applied learning.

Our Solution

CPATSS partners with leading academic institutions to enable joint R&D, student training, and prototype development.
We bring industry-grade simulation and IoT infrastructure into the academic environment, bridging theory and application.

Highlights

• Training and Enabling the Students with Industrial best practices
• R&D collaborations with Government College of Engineering, Karad
• Student projects on digital twins, sensor design, and IoT platforms
• Joint publications and prototype demonstrations
• Technology mentorship for incubation and commercialization