Automotive & Mobility

AI & engineering partners for modern automotive leaders

Modernise legacy platforms, from plant systems to connected vehicle backends
Apply AI to quality, demand planning, warranty, and aftersales performance
Ship production-grade software safely within regulatory and safety constraints

When our automotive team is a strong fit

We’re most useful when you have ambitious digital and AI goals, but real-world constraints in plants, vehicles, and dealer networks.

You own a multi-year software or data roadmap

You’re responsible for modernising platforms or launching connected services and need additional senior capacity to execute reliably.

You have scattered pilots but little in production

AI and digital initiatives exist across plants or regions, but few are integrated into core systems or measured against hard KPIs.

Legacy systems slow down new initiatives

MES, ERP, or dealer systems are critical but brittle, and you need a partner who can integrate without disrupting operations.

You must balance innovation with safety and compliance

You operate under strict functional safety, cybersecurity, or regulatory requirements and need disciplined engineering, not experimentation.

You need flexible delivery capacity

You want a mix of fixed-scope projects and dedicated pods to support ongoing product, data, and platform work across multiple programs.

You are under pressure to show near-term ROI

You need initiatives that can prove value within 6–18 months while laying the groundwork for longer-term platform and data strategy.

Example initiatives

Where we typically help automotive teams

Automotive manufacturing

Predictive quality and scrap reduction

Aggregate plant, test, and supplier data to predict defects earlier in the process and reduce scrap, rework, and warranty exposure.

OEM / Mobility

Connected vehicle data platform

Build a secure data platform for telematics and over-the-air events to power remote diagnostics, usage-based services, and fleet insights.

OEM & Tier-1

Aftermarket and warranty analytics

Use claims, service, and parts data to detect emerging field issues faster, optimise recalls, and improve supplier negotiations.

Manufacturing & logistics

Intelligent production planning

Apply forecasting and optimisation models to balance line capacity, labour, and supplier constraints, reducing changeovers and expedites.

Retail & distribution

Digital customer and dealer experiences

Modernise dealer and customer-facing apps with real-time inventory, financing, and service scheduling integrated into core systems.

How we work

From roadmap to production systems on the road and in the plant

We combine domain-aware discovery with disciplined engineering so your AI and software investments land in production, not in slide decks.

Clarify value cases and constraints

Align with business, engineering, and plant or vehicle teams on where AI and modern software can create measurable value within safety, regulatory, and warranty constraints.

Design architecture and delivery plan

Define data flows, platform choices, and integration patterns across MES, ERP, PLM, and vehicle backends, with a pragmatic backlog and delivery roadmap.

Build and integrate with production systems

Deliver models, services, and applications using secure, testable patterns that integrate cleanly with existing manufacturing, telematics, and dealer systems.

Operationalise, monitor, and scale

Set up monitoring, MLOps, and release practices so models and services remain reliable, auditable, and easy to evolve as volumes and regulations change.

Enable teams and transition ownership

Upskill your internal teams, document critical paths, and transition ownership so you are not dependent on long-term external staff to run core capabilities.

Business Outcomes

Clear prioritised roadmap tied to cost, uptime, and revenue KPIs.
Production-grade AI and software that integrate with existing plants and vehicle platforms.
Reduced delivery risk through proven patterns for safety, compliance, and cybersecurity.
Faster time-to-value using blended teams of architects, data, and software engineers.
Internal teams enabled to own and extend platforms without vendor lock-in.

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