Data Nucleus Deployment
Deploy generative and Agentic AI securely at scale with managed SaaS, cloud AI platforms, or private on-prem solutions—ensuring data sovereignty, rapid setup, and full compliance.
Managed SaaS
Ideal for rapid experimentation and non-sensitive workloads.
Instant access to generative and Agentic AI via fully managed APIs
No infrastructure to manage
Quick start-up for small to medium-sized teams
Multi-tenant security with data segregation across customers
Automatic scaling to handle variable workloads without manual intervention
Continuous model updates and improvements delivered seamlessly
Usage analytics dashboard for real-time performance and cost insights
UK-located infrastructure ensuring data sovereignty
Cloud AI Platforms
Seamless use of Data Nucleus models on leading public clouds.
Deploy via Amazon SageMaker, Microsoft Azure, Google Cloud AI, etc.
Model version control and platform-native security
Suitable for data scientists and organisations handling customer data
Integrated fine-tuning pipelines for custom model adaptation
Native compliance certifications (e.g. ISO27001, SOC2) on supported platforms
Unified monitoring and logging through cloud provider tooling
Pay-as-you-go pricing with granular resource metering
Private Deployment
Maximum customisation, control and compliance
On-premise, virtual private cloud (VPC) or air-gapped hosting
Completely private: your data never leaves your infrastructure
Fully customisable: scale and tweak models to your exact needs
Sovereign data residency and strict governance
Rapid setup: deployment components delivered after contract, typically live in under a day
Dedicated technical support from solutions architects, Applied ML team and customer success managers
Integrations
