Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
A global automotive manufacturer operates a fleet of several thousand development vehicles that generate 5 to 10 terabytes of measurement data, such as braking patterns and battery voltage, every week.
Unlocking insights from this massive data lake could take hours or days because only specialized IT staff had the skills to write complex queries....
“We’d solved access with modernization, but access alone doesn’t drive innovation. With multi-agent AI, engineers don’t just get data—they get insights they can act on immediately. Ultimately, the steps of data extraction and pattern recognition can be performed directly in a single step, and in natural language.”
Luxury vehicle and motorcycle manufacturer for premium consumer mobility.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Sensor data overwhelmed local servers. Engineers now run natural language queries 5x faster via AI, cutting PoC timelines by 80%.
Physical testing delayed launches. AI now automates virtual pipelines, letting engineers validate designs without building prototypes.
Engineers spent 30,000 hours per project reviewing specs. GenAI now automates analysis, allowing teams to prototype earlier.
Technicians spent 30 minutes hunting through 1,500-page manuals. A multilingual AI now provides instant answers and direct citations.
Staff struggled to spot correlations across thousands of data points. Now, a multi-agent system answers voice queries in under 3 seconds.
Static forms ignored cultural nuance. Now, AI agents speak local dialects to capture leads and automate feedback calls.
Fleet repair estimates took up to 48 hours. Autonomous agents now process them in 30 minutes, absorbing a 10x volume surge.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.