Case studies

Case studies and modules in action

Digital-twin and virtual-commissioning programmes from our team’s earlier work, and our modules in action. Client and employer names are withheld.

Enterprise programmes

Experience from large-scale digital-twin programmes

Aerospace · Digital twin

Virtual commissioning of an aircraft-fuselage inspection cell

Objective. Prove a robotic scanning process for a full aircraft fuselage in a physics-accurate digital twin before any hardware was commissioned.

Outcomes achieved

Hangar scene and fuselage represented in a real-time 3D simulation environment
A custom robot with LiDAR simulated scanning the main deck and cargo area
Scan plan established: 20 scans cover an entire fuselage
Virtual commissioning simulated the process end to end and accelerated delivery

Aerospace · Quality

Simulated point-cloud acquisition for digital quality

Objective. Replicate real scanning conditions in simulation so that inspection algorithms could be developed and validated ahead of the physical rollout.

Outcomes achieved

Point-cloud acquisition simulated as in reality, with no aircraft tied up
Aircraft twin creation from scans, compared with a reference to classify gaps
Non-conformance probability and reports surfaced in a business application with 3D visualisation
Quality teams in multiple countries collaborating on one shared twin

Aerospace · Robotics

Autonomous scanning robot: motion and collision-safety design

Objective. Validate how a scanning robot moves position to position through the fuselage structure and stops precisely without collisions.

Outcomes achieved

Full scan sequence from home position, through remaining positions, and back, simulated in side and front views
Proximity / LiDAR sensing of cross beams verified to stop the robot precisely
Passenger and cargo areas both covered by the same process
Real-time rendering at over 100 frames per second on a laptop GPU

Aerospace · Digital thread

A closed loop for quality: from inspection data to root cause

Objective. Connect inspection findings to engineering and manufacturing so non-conformances are prevented, not just recorded.

Outcomes achieved

Feedback loops from manufacturing to engineering to prevent repeat defects
Non-conformance data analytics used to identify root causes
End-to-end continuity of the quality process from the shop floor to the customer
A single quality data backbone shared by quality experts and analysts

Open Netrikkan modules in action

Open Netrikkan modules, illustrated on demonstration data

Pharma · Open Netrikkan

Validating a tablet-line configuration before the floor

Objective. Find a better line configuration without running a trial batch — the batch that would otherwise cost more than most improvement projects.

Outcomes achieved

Scenario simulator with OEE, output, batch cycle and release metrics
AI parameter search improved demonstration OEE from 33.7% to 39.2% (about +7K units a day)
DES-optimised wash sequence reduces cross-contamination risk and cleaning time
Every scenario is a reproducible run that can be explained to quality

Trusted and recognised

Backed by a growing ecosystem

A UTS Company

NASSCOM DeepTech member

Patent-pending IP

Bengaluru, India

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