Engineering services for data-driven enterprises
Platform migration, applied AI and modern data engineering — delivered by teams that ship regulated-grade systems.
Legacy estate → cloud
01 — Service
Data Platform Migration
Seamless, Efficient, and Scalable Data Platform Migrations
Migrating your data platform is no small task. Whether you're moving from on-premise systems to the cloud or migrating between cloud platforms, Nexgensis ensures a smooth transition — across AWS, Azure and GCP, and from legacy systems to modern cloud solutions.
How we ensure a successful data migration
Expert team
Experienced data migration specialists and project managers following a proven, agile approach.
Automation-driven
Automation tools for SQL translation, data validation and pipeline generation speed up migrations and ensure accuracy.
Comprehensive migration
A migration strategy tailored to your specific environment and business objectives.
Maximise speed
Advanced automation handles SQL translation, data validation, code simplification and business validation.
Automation capabilities
- SQL translation from Oracle, SQL Server, Teradata and Hadoop
- Data validation and quality checks
- Code simplification using metadata-driven templates
- Business validation with synthetic data
Migration expertise
- Hadoop
- Teradata
- Oracle
- SQL Server
- On-premise warehouses
- AWS
- Microsoft Azure
- Google Cloud
02 — Service
AI & Machine Learning
Supporting AI Solutions from Ideation to Production
Support across every phase of AI transformation — leveraging your data and building predictive models that drive business outcomes, reduce risk and automate process.
AI strategy
Aligned to business goals
Align AI investments with business goals so the value is sustainable rather than experimental.
Tailored to your industry
AI initiatives shaped around the unique needs and challenges of your sector.
Built to scale
Long-term scalability and flexibility designed into the solution from the start.
Our proven approach
- 01Use case identificationEvaluate and prioritise opportunities aligned with your key objectives.
- 02Data explorationAnalyse historical data to identify trends, outliers and patterns.
- 03Prototyping & PoC developmentBuild proof-of-concepts to validate ideas before full deployment.
- 04Generative AI & large language modelsDesign solutions using advanced models such as GPT-4.
- 05ML pipelinesBuild scalable machine learning pipelines with continuous integration.
- 06MLOpsOperationalise models at scale, with efficiency and security.
MLOps components
- Model deployment
- Continuous monitoring
- Model versioning and governance
- Integration with DevOps practices
- Model registries and feature stores
Industry applications
Chemical & pharma
Improving R&D, optimising manufacturing and ensuring regulatory compliance.
Retail
Personalised interactions, demand forecasting and inventory management.
Financial services
Risk management, fraud detection and market trend prediction.
Manufacturing
Production optimisation, quality control and predictive maintenance.
Success stories
Energy management
An AI solution that enhanced demand forecasting and real-time monitoring.
Batch processing
Machine learning that improved yield and efficiency in process industries.
BFSI fraud detection
AI models deployed for transaction fraud prevention.
03 — Service
Data Engineering
Empowering Data-Driven Innovation Through Expert Data Engineering Solutions
In today's data-driven world, data engineering is the foundation for informed decision-making and advanced analytics. We build modern data stacks that integrate seamlessly across your organization, enabling everything from real-time insights to AI-powered applications.
Data engineering services
Platform architecture
Scalable, secure infrastructure optimised for performance, unifying authentication, security and monitoring.
Pipeline development & automation
Streamlines ingestion, transformation and publication while automating cleaning and validation.
Governance & compliance
Robust frameworks including cataloguing, auditing and performance monitoring.
Collect, transform, publish
- 01CollectIngest data from both internal and external sources, whether batch or real-time.
- 02TransformCleanse, enrich and model your data to increase usability for stakeholders.
- 03PublishServe your data through analytics, machine learning models or AI applications.
Our principles
- Agile project management
- Automation
- Build for operation
- Specialised expertise
- Faster time to value
Who benefits
IT & data management teams
Deliver reliable data access for analytics and machine learning users.
Business teams
Make informed, data-driven decisions.
Product owners
Monetise data through analytics and ML applications.
Governance & security teams
Enable innovation while maintaining compliance.
Data scientists
Access structured, high-quality data.
Delivered for regulated manufacturers
Not sure which one you need? Start there.
Most programmes begin with a migration or a data platform build, then add AI once the data is trustworthy. We will tell you which order fits your estate.