Procon Analytics

Case Study · Connected Car & Automotive IoT
Screenshot 2026-06-29 at 11.55.56 PM

Challenge

Procon Analytics develops connected car and automotive IoT products and data services. As the company grew its platform to serve over 2 million connected drivers, its executive team encountered a challenge that no dashboard could solve: the data environment that powered the business was also the source of its deepest analytical frustration. Reporting could show what was happening. It could not explain why.

The challenge was structural, not cosmetic. Data lived in disconnected silos — telemetry, service records, dealer metrics, financials — each requiring a separate export. Crossing those boundaries meant an analyst pulling from every source, reconciling formats, building a spreadsheet: work that routinely took days. By the time the answer was ready, the meeting had moved on.

Traditional dashboards were evaluated and found insufficient. BI architectures require predefined questions and stable schemas. The questions Procon Analytics’ senior leaders actually asked were the opposite — open-ended, context- dependent, and crossing multiple data domains simultaneously. What the executive team needed was not another dashboard. It needed a decision layer.

Solution Overview

Procon Analytics’ existing data environment was connected to Amberd’s private LLM, which operates against that data in place. Executives can now query the full data environment in natural language, explore the underlying drivers of business performance, and get sourced, decision-ready answers in seconds. The architecture is additive — new data sources connect without new projects. Results: executive question-to-answer time reduced from days to seconds. The analyst bottleneck for senior management reporting eliminated. A reusable platform that scales with the data.

  • Query device performance and fault rates in seconds
  • Identify assets trending toward failure before downtime
  • Cross-system answers spanning IoT, ops, and financials
  • 100% private — data never leaves your environment
  • Zero analysts needed for executive questions
  • 2M+ connected devices on the platform
Project Info

Category

Connected Car & Automotive IoT

Client

Procon Analytics

Industry

Automotive Technology

Stack

Private LLM, Telemetry, BI Layer

At Procon Analytics, where we build connected car and automotive IoT solutions, we moved away from only plotting data on dashboards because that only got us part of the way. Most real business questions and insights still needed deeper digging and context. What’s been more useful is using AI to work through the ‘why’ behind the numbers instead of just looking at charts. With Amberd.ai, we can explore those questions directly rather than waiting for someone to piece the story together for us.

 

— Brian Boling, CEO — Procon Analytics 

Seconds to Insight
Seconds to Insight
100% Data Privacy
100% Data Privacy
2M+ Connected Devices
2M+ Connected Devices
Download The Full Case Study
Asset Health & Predictive Maintenance
Asset Health & Predictive Maintenance
Query fault event rates, sensor anomalies, and maintenance patterns across the entire connected asset base. Identify equipment trending toward failure before it causes unplanned downtime.
Operational Intelligence
Operational Intelligence
Surface bottlenecks, throughput variances, and process exceptions in real time. Ask cross-system questions spanning device data, work orders, and operational records — and get one correlated answer.
Device & Fleet Management
Device & Fleet Management
Track connectivity status, firmware versions, configuration drift, and event histories across the full device estate. Surface insights that strengthen operational reliability.

Conclusion

The organizations that win the next decade of regulatory complexity will not be the ones with the most spreadsheets or the largest compliance teams. They will be the ones whose leaders can ask any question about any entry, client, deadline, or regulatory change and get a sourced answer in the same conversation. Amberd is that capability — the enterprise intelligence layer: a private, LLM-native platform that unifies government data, operational records, and client histories and delivers intelligence at the speed compliance demands. The RL Jones deployment proves the model works — replacing manual ACE downloads and per-customer workbooks with question-led analysis that reaches across entry data, tariff schedules, and regulatory deadlines in seconds. The next compliance question your analysts cannot answer fast enough: Amberd is built for that.

Amberd. The Enterprise Intelligence Layer.

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