Enterprise AI architecture, readiness, and delivery for regulated organisations, from assessment through implementation.
Enterprise AI Services
Design, integrate, and operate digital infrastructure that connects your business securely and at scale.
Infrastructure Services
Always-on managed operations across SOC, cloud, DevOps, MLOps, and application platforms.
Cloud migration, modernisation, and transformation programmes aligned to business outcomes.
Cloud Services
Security architecture, managed SOC, vCISO, compliance, and incident response for regulated sectors.
Specialist talent and team outsourcing across digital, cloud, data, AI, and security disciplines.
Talent & Outsourcing
Industries
Resources
Retire fragile legacy data estates and move to modern, cloud native platforms built for analytics, AI and long term resilience.
We plan and execute migrations that protect continuity for critical workloads while unlocking a platform your teams can build on.
We plan and execute migrations from legacy warehouses and on-premise databases to modern cloud platforms, ensuring continuity for critical workloads along the way.
With clean, well governed data on modern infrastructure, your organisation can adopt AI, machine learning and self service analytics without compromising control or compliance.
Ageing warehouses and on-premise databases get more fragile and expensive to keep running every year.
Fixed-capacity infrastructure can't absorb growing data volumes or new analytics and AI workloads.
Proprietary legacy platforms make every new integration or upgrade slower and more expensive than it should be.
Leadership knows the legacy estate is a liability, but worries a migration will disrupt workloads the business depends on.
Analytics and AI initiatives stall because the underlying data platform simply cannot support them.
Continuity first, modernisation second.
We sequence migrations by risk and business criticality, running legacy and modern platforms in parallel where needed so critical workloads keep running while the underlying estate is transformed.
Workload assessment, target platform selection and a phased, risk-sequenced roadmap.
Secure, scalable cloud foundations that new and migrated workloads are built against.
Controlled cutover of data and workloads with rollback paths and continuity testing.
Safe retirement of legacy platforms alongside ongoing cost and performance tuning.
Migrate legacy warehouses and on-premise databases to modern, scalable cloud platforms.
Retire fragile legacy estates in a phased, low-risk sequence that protects business continuity.
Well governed, analytics-ready data models that support AI, machine learning and self service BI.
Right-sized, resilient platforms that balance performance, cost and long term maintainability.
How organisations across different sectors move off fragile legacy platforms without disrupting the business.
A retailer's legacy data warehouse could no longer keep pace with peak trading volumes or support real-time promotional analytics.
A healthcare provider needed to migrate patient and operational data off on-premise servers without any interruption to clinical systems.
An energy operator's decades of historian and SCADA data sat in a system too rigid to support modern analytics or forecasting.
A public sector agency faced an end-of-life deadline on a legacy database platform underpinning statutory reporting.
An e-commerce retailer's legacy data warehouse could no longer keep pace with peak trading volumes, slowing reporting and blocking real-time promotional analytics.
A healthcare provider needed to migrate patient and operational data off ageing on-premise servers without any interruption to clinical systems or compromise to compliance obligations.
An energy operator's decades of historian and SCADA data sat in a rigid legacy system that made forecasting and modern analytics practically impossible.
A public sector agency faced a hard vendor end-of-life deadline on the legacy database platform underpinning its statutory reporting obligations.
Organisations partnering with SynaptekX for data modernisation can achieve:
Infrastructure that grows with data volumes and workloads instead of capping them.
Right-sized, cloud-native infrastructure that replaces expensive legacy maintenance contracts.
Queries and reporting that run in minutes, not hours, on a platform built for the workload.
Clean, governed data on infrastructure that can actually support machine learning and AI workloads.
Modern backup, recovery and availability characteristics legacy platforms could never offer.
Fewer fragile, undocumented legacy systems for your team to work around and maintain.
Five reasons organisations trust SynaptekX with their platform migration.
Migrations sequenced by risk and business criticality, never a rip-and-replace that gambles with live workloads.
The right cloud platform for your workloads and roadmap, not the one we have a reseller relationship with.
Right-sizing and tuning are part of the migration itself, not an afterthought once the bill arrives.
Engineers who have executed platform migrations before, not first-time practitioners learning on your estate.
Compliance and control requirements carried across into the new platform, not lost in the move.
We target zero downtime for critical workloads by running legacy and modern platforms in parallel where needed, with rollback paths built into every phase.
We're vendor-neutral. The target platform is chosen based on your workloads, existing investments and roadmap, not a preferred reseller relationship.
It depends on estate size and complexity, but we always sequence migrations into phased stages, so value and risk reduction start well before the final cutover.
We decommission it safely once cutover is validated, including data retention and audit requirements, so nothing is switched off before it's genuinely safe to do so.
Yes. Governance requirements are carried into the new platform design from the start, not retrofitted once the migration is finished.
Explore the rest of our Enterprise AI capability.
Unify data from legacy systems, SaaS platforms and cloud services into a single, reliable backbone.
Design, secure and operate APIs that expose data safely and enable new revenue models.
Establish the controls, processes and tooling that keep data accurate, secure and compliant.
Deliver responsible Generative AI use cases that augment teams and enhance experiences.
Move to a cloud native platform that is ready for analytics, AI and whatever comes next.
Talk to a Data Modernisation ExpertGet in touch, and discover how our AI-driven expertise can propel your next phase of digital growth
5 St John’s Lane, London, England, EC1M 4BH
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