Data specialists
175
+
Trusted data foundations for reliable AI
AI is only as reliable as the data beneath it. We build the governed, high-quality data foundations that allow you to move from raw data to insight and action and from pilot to production, with confidence.
Years’ expertise
20
+
Customer retention
98
%
PoC to production rate
62
%
AI readiness starts with strong data foundations
Enterprise AI investment is accelerating, yet most organisations are held back by the same foundational problems.
Poor data quality, fragmented estates and inadequate governance prevent AI from reaching production at scale. Gartner predicts that through 2026, 60% of AI projects will be abandoned due to inadequate data foundations.
We help organisations make better decisions, faster – by building the data foundations that power AI, improve operations and satisfy compliance demands.
Fragmented data estates
Low trust in data
AI readiness gaps
Regulatory pressure
Technical debt
Skills and culture
How agentic delivery builds trusted data platforms faster
We consolidate fragmented data estates into unified, trusted platforms that enable reliable decision-making.
Senior data architects design your strategy and models while agents build pipelines, remediate data quality issues and conduct testing.
Discover how we deliver trusted, governed data platforms faster with higher assurance.
Powering your data transformation
Our unified enterprise data services cover the full data modernisation journey – from maturity assessment and strategy, through to platform delivery, governance, analytics and adoption. Each service is designed to stand alone or operate as part of an integrated programme.
Unified data and AI
Explore our unified data and AI services
Data assessment
Comprehensive cloud and infrastructure management, including DevOps, cost and performance optimisation, usage analytics, automation, backup/DR and robust security architecture practices, ensuring your multi-cloud platform is managed by multi-skilled teams.
Our data delivery methodology
Our EVOLVE data methodology is a structured, business-led framework.
We begin with a deep understanding of your challenges before implementation begins, ensuring every programme is aligned to measurable outcomes from day one.
Our data expertise
We partner with global technology leaders to provide you with the highest quality solutions and services.
Our long-standing and enhanced partner relationships and market leading expertise in each partner’s technologies allows us to tailor solutions to your unique needs.
We are highly accredited by our global technology partners, and have been recognised and awarded for our excellence in bringing technology enabled solutions and services which drive customer success.
Our technology partners
Our key partners
We are a global leader in business transformation. Over nearly three decades, we have formed strategic and award-winning technology partnerships with global hyper-scalers to ensure that we provide our customers with the highest quality solutions and services.
AWS
Microsoft
Oracle
Anthropic
Red Hat
OutSystems
Snowflake
Unified data and AI
Complementary services
Our expert-led Oracle Database migration services help enterprises migrate Oracle databases to modern on-premises, cloud and hybrid environments. We deliver seamless migrations that minimise disruption, reduce risk and maximise performance.
We help financial institutions reduce complexity and stress through proven accelerators and a people-first approach. Our deep domain expertise and industry-leading methodologies enable organisations to achieve faster regulatory compliance, improved data accurate and significant operational efficiency.
Turn AI ambition into production AI that delivers measurable value.
We help you shape the right AI strategy, build the right solutions, drive adoption and keep governance, security and compliance under control from the start.
As part of the ASPIRE managed services framework, we can help you unlock the value of your data by removing complexity and the burden of data management.
