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.
BMW's Vehicle data analysis is part of this use case:
Related implementations across industries and use cases
Manual reviews and language gaps dragged repairs to a week. AI now diagnoses faults in 100 languages, halving the cycle.
Faults took 5–6 hours to diagnose, and retiring veterans were walking out with decades of floor expertise. GearPal answers in minutes.
Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.
Faults took 5–6 hours to diagnose, and retiring veterans were walking out with decades of floor expertise. GearPal answers in minutes.
Scientists spent half a day digging through 50 years of scattered files. Now, an AI assistant retrieves past experiments in minutes.
Equipment faults left technicians hunting for technical data while machines sat idle. A chatbot now puts the answer in their hands.
Fragmented support caused frustrating handoffs. Live AI translation now lets a small English-speaking team handle 14 languages instantly.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
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.
BMW's Vehicle data analysis is part of this use case:
Related implementations across industries and use cases
Manual reviews and language gaps dragged repairs to a week. AI now diagnoses faults in 100 languages, halving the cycle.
Faults took 5–6 hours to diagnose, and retiring veterans were walking out with decades of floor expertise. GearPal answers in minutes.
Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.
Faults took 5–6 hours to diagnose, and retiring veterans were walking out with decades of floor expertise. GearPal answers in minutes.
Scientists spent half a day digging through 50 years of scattered files. Now, an AI assistant retrieves past experiments in minutes.
Equipment faults left technicians hunting for technical data while machines sat idle. A chatbot now puts the answer in their hands.
Fragmented support caused frustrating handoffs. Live AI translation now lets a small English-speaking team handle 14 languages instantly.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.