From data foundations to AI‑run operations. We meet clients at their actual maturity; enter at any tier, in any sequence.
Each level is a complete engagement in its own right, and prepares the ground for the next. Plus one strategic programme for reclaiming control of your application layer.
Foundation
Reaching data that is scattered, inconsistent or locked inside systems nobody can change: the foundation everything else depends on.
Legacy integrations and manual processes hold everything back. We reach the data wherever it sits and rebuild it as a clean, API-first layer, solid enough to run today, designed to evolve tomorrow.
Every system exposed through documented, portable interfaces.
Source-agnostic connectors; onboarded in hours; failures don't cascade.
Clear, versioned definitions that stay consistent across systems.
Automated checks, alerting, and a data-health dashboard.
Pipelines that monitor, validate and repair data flows automatically.
Moving to AI later is incremental, not a rebuild.
Data Foundations & Legacy Modernisation
A global automotive retailer's showroom application had become unstable, denting user confidence and blocking enhancement. We ran a focused system review (documentation audit, codebase reverse-engineering, operating-model assessment), then stood up a team for stabilisation, support and evolution under a formal SLA. The team scales with demand, so support effort tracks actual need.
Data Foundations & Legacy Modernisation
A global industrial equipment manufacturer needed to migrate its data from an old system landscape to a new one, repeatably and at volume. We built a conversion engine that processes billions of records with fully configurable transformation logic, turning a one-off migration risk into a repeatable, controlled process.
OPERATE
One window for the whole IT estate, engineered so that it needs less operating, not more.
We assess your environment, spot the risks and improvements, and get you future-ready.
One-window IT operations and infrastructure management. Cloud strategy, migration, and management (IaaS, PaaS, SaaS, DaaS).
Environment assessments, proactive maintenance, and technical support. 3–5 year service and technology roadmaps.
The structural shift to AI-native delivery: automated infrastructure, integration and connectivity.
Proactive monitoring and real-time visibility into delivery health, capacity, and demand.
Every incident and sprint becomes institutional knowledge and audit evidence, automatically.
Engineered IT Operations
A supply chain and logistics operator was running a critical platform on ageing infrastructure with no clear view of where operational risk sat, leaving support permanently reactive. We began with a full assessment of their environment and built a joint Service and Technology Roadmap, shifting the client from firefighting incidents to planned, prioritised maintenance, and cutting unplanned incidents significantly within two quarters.
Engineered IT Operations
A global automotive retailer's showroom application had become unstable, denting user confidence and blocking enhancement. We ran a focused system review (documentation audit, codebase reverse-engineering, operating-model assessment), then stood up a team for stabilisation, support and evolution under a formal SLA. The team scales with demand, so support effort tracks actual need.
Engineered IT Operations
A vehicle manufacturer needed reliable, ongoing support for its vehicle data platform without adding permanent headcount. We deliver an integrated service model: our team embeds with the client's internal IT function or operates as an independent managed-services provider, covering end-to-end IT operations, infrastructure management, and application support, tailored to how much the client wants to run in-house.
Engineered IT Operations
Across multiple engagements we help clients decide what belongs on-premise, in the cloud, or both, and then execute. We've built cloud strategies, run hybrid migrations, and manage the resulting environments, so infrastructure choices stay deliberate as needs evolve.
Engineered IT Operations
A client needed to modernise its core ERP demand-intake process without a big-bang rebuild. We delivered in three validated phases: AI intake classification with template pre-fill, automated ticket workflow, then feedback loops and dashboards. The result: a continuously improving process, reusable across similar systems.
SECURE
Assessment, governance and continuous monitoring against the regimes that now interlock: GDPR, NIS2, DORA and the AI Act.
Comprehensive compliance and security services protecting infrastructure, cloud environments, applications, data and digital services, with monitoring that runs continuously instead of audits that arrive annually.
Compliance assessments, gap analysis, and regulatory roadmaps.
Risk assessment, security architecture, and anomaly detection across operational data.
Flags control drift and unusual activity.
GDPR, NIS2, DORA and the AI Act treated as one interlocking obligation, not four separate checklists.
Continuous Compliance & Security
An energy sector operator running critical infrastructure needed to prove GDPR and ISO 27001 compliance to auditors but had no consistent way to show that policy was actually enforced. We ran a full compliance assessment and gap analysis, then implemented automated audit-trail generation and continuous compliance monitoring, cutting audit preparation from weeks to days and replacing a periodic manual check with continuous assurance.
Continuous Compliance & Security
A specialised engineering company needed to catch data-loss risks early without replacing its on-premise SIEM. We built an intelligent agent layer on top: learning normal behaviour per user, flagging deviations in real time, and detecting attacks mid-sequence. Rolled out in stages, with a human in the loop throughout.
DECIDE
Strategy, governance, platform build and analytics that turn data into decisions.
From advisory front-end to analytics in production: assessment, roadmap and governance first, then the platforms and models that put answers in front of the people who decide.
Assessment → Roadmap → Governance, as the advisory front-end.
Natural-language dashboards; automated narratives.
Plain-language, meaning-based search across legacy data.
Asset twins predicting maintenance and failure risk.
Machine learning models for dynamic pricing across markets.
From platform design to dashboards in production: the build that turns strategy into decisions.
Data Strategy & Decision Support
For an automotive client, we evolved a high-performance real-time search capability into an LLM-assisted search experience, backed by a clear roadmap for further agent-driven capability.
Data Strategy & Decision Support
An automotive retail client needed to manage pricing and campaigns intelligently across a large, fast-moving inventory. We delivered AI-driven pricing optimisation paired with real-time data-consistency monitoring, replacing manual pricing decisions with continuous, data-driven ones.
Data Strategy & Decision Support
A manufacturing and energy client wanted to move from reactive maintenance to predictive maintenance. We built asset twins that predict failure risk from real-time sensor data, cutting unplanned downtime and giving maintenance teams advance warning instead of surprises.
Data Strategy & Decision Support
A battery refurbishing company held critical supplier data across disconnected sources, with no way to prove where it came from. We built a modular solution that collects, validates, and traces supplier data with auditable evidence, turning fragmented information into a single, trusted source clients and partners can rely on.
SOVEREIGN
Business-critical applications rebuilt as systems the customer owns, specifies and controls, running on infrastructure they hold.
Sovereignty is more than a data center in the right country. We cover the whole stack: infrastructure, integration, application, and how it is run and used. Every layer is yours to control.
Rebuilding vendor-locked toolchains as agent-native, owned applications. Parallel 'speedboat' workstreams following a four-phase delivery methodology.
Systems designed from inception with agents as first-class actors: a structural advantage that can't be retrofitted.
Event-driven, source-agnostic backbone with self-healing agents.
Automated incident response and knowledge capture, with full audit trail.
Users query in natural language; pre-built agents handle known flows.
On-premise, cloud, or hybrid: residency requirements stop being blockers.
Sovereign Application Engineering
A global vehicle manufacturer replaced its patchwork of regional systems with one AI-native data platform for global sales: source-agnostic integration cutting onboarding from weeks to hours, self-healing pipelines, natural-language search with ready-to-use agents, and automated triage and incident response. Architecture, usage and operations working as one unified system.
Sovereign Application Engineering
A global enterprise client needed full visibility into its CO2 impact across a complex, multi-tier supply chain. We built an event-driven data platform, spanning multiple regional data domains on a unified backbone, with self-healing agents that cut new source onboarding from weeks to hours and eliminated an entire category of manual operations.
