From plant floor toconnected vehicle
Telemetry from the fleet, quality data from the line, warranty claims from the dealer network, parts data from tier-one suppliers. Each in its own system, each with its own idea of what a vehicle is.
- Connected vehicle telemetryHigh-volume signal ingestion modelled against the vehicle hierarchy.
- Warranty analyticsClaims joined to build, component and dealer data to isolate true cause.
- Early quality warningLine-side SPC combined with field signals to surface drift pre-claim.
- Recall traceabilityComponent genealogy to VIN level so affected populations are a query.
- Dealer performanceSales, service and claim behaviour compared consistently across the network.
- Supplier scorecardsQuality, delivery and cost by supplier and by part, from primary data.
One objective in.Your whole estate, moving.
The governed layer sits at the centre of your operations. It reads every signal across Vehicle telemetry, Production data, Quality checks and the rest of your estate, and closes every loop back to your business and regulatory goals.
Automotive Governed Data Layer
IntelliBooks · Platform agnostic · Your cloud · On-prem capable
The right question changes the answer.
Most automotive teams have modernised in pockets. We start with why those pockets never joined up, and what it takes to run the whole estate on one governed layer.
Components pass through suppliers, plants and dealers before they reach a customer. How long would it take to identify every vehicle carrying one batch?
Component genealogy modelled to vehicle level makes the affected population a query against build and supplier lot data, turning a multi-day reconstruction into an afternoon.
Warranty claims, build records and diagnostic codes usually live in separate systems. Can you separate genuine component failure from inconsistent claim coding?
Joining claims to build data, fault codes and dealer patterns separates real failure from coding variance, so remediation targets the actual cause rather than the loudest symptom.
Connected vehicles generate enormous volumes of telemetry, most of which is stored rather than used. Which decisions does yours currently inform?
Modelled against the vehicle and component hierarchy, telemetry connects to warranty, quality and engineering. Without that model it remains storage you pay for and rarely query.
Quality signals appear on the production line before they appear in warranty cost. Are you seeing them early, or reading them later?
Line-side measurement joined to field telemetry and fault codes surfaces drift weeks before it becomes a claim pattern, which is where the recoverable cost sits.
This is how the work actually runs.
Your plant and dealer systems stay.
Your ERP, your manufacturing execution system, your dealer management platform, your process historian. Connect what you have. Nothing migrates off its system of record.
Scope from one question worth answering.
Not a data lake programme. A question. "Which components drive warranty cost?" "Which dealers code claims inconsistently?" "Which build weeks carry elevated risk?" We work back from that.
The right agents activate, inside limits you set.
Warranty claim triage, quality anomaly detection, component genealogy tracing, supplier scoring, telemetry enrichment. Autonomy per process: assistive for engineering judgment, delegated for claim triage, autonomous for anomaly detection.
Failures surface early. Recalls scope in hours.
Component genealogy and build records carry lineage, so affected populations are a query and homologation evidence is produced on demand rather than assembled under deadline.
We map to how you already run.
Tell us which of these hurts most and we start there — not with a platform rollout.
Connected vehicle telemetry
High-volume signal ingestion modelled against the vehicle hierarchy.
Warranty analytics
Claims joined to build, component and dealer data to isolate true cause.
Early quality warning
Line-side SPC combined with field signals to surface drift pre-claim.
Recall traceability
Component genealogy to VIN level so affected populations are a query.
Dealer performance
Sales, service and claim behaviour compared consistently across the network.
Supplier scorecards
Quality, delivery and cost by supplier and by part, from primary data.
Parts & aftermarket
Demand forecasting and inventory positioning across the service network.
Manufacturing OEE
Availability, performance and quality computed from MES and historian data.
Predictive maintenance
Fleet and plant equipment failure prediction from sensor history.
Supply chain visibility
Tier-one and tier-two flows tracked against production schedules.
Homologation evidence
Regulatory test and compliance data assembled with provenance.
Fleet & mobility
Utilisation, charging and duty-cycle analytics for fleet operators.
Your data. Your platform. Your call.
It runs in your cloud
Deployed in your own account and region, which matters when telemetry crosses jurisdictions with differing data-protection regimes.
Governed at every step
Every agent action logged with its query and identity. Personal data in telemetry classified and masked according to the jurisdiction it was collected in.
You keep what we build
Models, pipelines and lineage are yours. Vehicle and component data models are core IP and should not sit inside a vendor runtime.
Built for telemetry economics
At these volumes, architecture decisions are cost decisions. Partitioning, tiering and retention are designed against your actual query patterns.
If you are thinking it, it is answered here.
Set the objective. We will scope it honestly.
Bring us the estate as it actually is, deadlines included. Two to four weeks later you have a costed roadmap you own — whether or not you continue with us.