Affluence Corp (AFFUD)

[RichieBoy]

Aerodyne is not listed as an attendee at Mobile World Congress 2026 but could possibly be found with the Malaysian contingent at MWC or "another venue" . I'm wondering why Mice Net project isn't involved with MWC. You would think that Mice Net would want to premiere at a marquee event like this. Maybe I'm wrong but that is a bit of a surprise. Perhaps Mice Net hasn't gelled long enough to be what they want it to be it's hard to say?

Here is a look at how Aerodyne uses AI in their drones (and how that might work with MTi)

Aerodyne Group integrates Artificial Intelligence (AI) into their drone operations primarily through a "360DT3" approach—combining Drone Tech, Data Tech, and Digital Transformation. Their AI-driven solutions are designed to automate large-scale data capture, analysis, and decision-making across industries like agriculture, energy, and telecommunications.

Here is how Aerodyne Group uses AI in their drones:
1. Autonomous Operations and "Nested" Drones
Aerodyne utilizes AI for advanced, autonomous flight, reducing the need for human intervention.
aerodyne.in
aerodyne.in
Nested System (FULCRUM): They use "nested" drone systems, where drones are housed in an automated docking station (nest). These drones autonomously deploy, execute complex inspection missions, and return for charging without manual, on-site piloting.
Swarm Intelligence: Their technology enables multiple drones to work together as a cohesive unit.

2. AI-Powered Defect Detection and Inspection
Instead of having humans manually review hours of video, Aerodyne’s AI analyzes high-resolution drone imagery in the cloud.

Automated Damage Assessment: Their AI algorithms can detect, classify, and measure defects (such as corrosion, cracks, or structural issues) on assets like cell towers, power lines, and pipelines with high accuracy.

Severity Classification: The software automatically ranks the severity of defects, which has reduced manual inspection labor requirements by up to 50%.


3. Predictive Analytics and Digital Twins (DRONOS)
Aerodyne uses AI to turn raw data into actionable insights rather than just capturing imagery.

Digital Twins: They create digital, 3D representations of physical infrastructure (Digital Twins). AI analyses these models to predict when an asset might fail.
Anomaly Detection: In sectors like oil and gas, AI identifies anomalies across thousands of miles of pipelines, allowing for preventative maintenance.

4. Precision Agriculture (AGRIMOR)
In agriculture, AI-driven drones are used to monitor crops and optimize resources.

Disease & Yield Prediction: The drones collect multi-spectral data to identify diseases, map crop health, and predict yields.
Resource Optimization: AI helps optimize the application of nutrients or pesticides, aiming to increase yield while reducing waste.

5. Data Analytics Platform (Vertikaliti)
Aerodyne's proprietary AI-driven SaaS (Software as a Service) platform, Vertikaliti (and its updated version, DRONOS), acts as the brain for their data.

It processes vast amounts of drone data (including 3D models and thermal imagery) to help companies make rapid, data-driven decisions.
The system can automatically detect vegetation encroachment near power lines.

By using this AI-powered approach, Aerodyne has achieved up to 400% time savings and 20% cost savings for their clients.