Accelerate AI Innovation
with SAP AI Core

Securely deploy and scale AI models with enterprise-grade control to transform ideas into intelligent business applications.

What is SAP AI Core?

SAP AI Core is a managed service on the SAP Business Technology Platform that handles the execution and operations of AI assets in a standardized, scalable, and hyperscaler-agnostic way. It provides the infrastructure for developing, deploying, and managing AI models in enterprise environments while maintaining enterprise-grade security controls.

The platform supports multiple AI capabilities, such as:

Model training and deployment

AI lifecycle management

Generative AI hub

Multi-cloud Integration

Common challenges

Key benefits

Enterprise-Grade AI Infrastructure

Access a reliable platform designed specifically for business needs with built-in security controls, scalability, and integration capabilities that align with enterprise standards. 

Unified AI Lifecycle Management

 Manage the complete AI journey from development to deployment through a single platform that streamlines workflows and reduces operational complexity. 

Generative AI

Access and integrate large language models through the generative AI hub with governance controls and enterprise integration to quickly implement generative AI use cases. 

Multi-Framework Support

Build AI solutions using your preferred open-source frameworks rather than being locked into proprietary technologies, maintaining flexibility while benefiting from enterprise support. 

Hyperscaler-Agnostic Architecture

Deploy AI assets across different cloud environments without redesigning your architecture, ensuring consistent operations regardless of your cloud strategy. 

Transform your AI initiatives with enterprise-ready infrastructure

See how SAP AI Core can accelerate your journey from innovation to business impact.

How it works

Unified AI Platform

SAP AI Core provides a consistent infrastructure for AI workloads, acting as the central engine that powers both predictive analytics and generative AI use cases across your organization.

Full Lifecycle Support

The platform manages every stage of the AI journey - from training models with your business data to deploying them as reliable services that can be consumed by applications.

Flexible Resource Management

Configure different infrastructure resources for various AI tasks based on your specific needs, efficiently allocating computing power to maximize performance while controlling costs.

Secure Integration Framework

Connect your existing data sources, code repositories, and applications through standardized APIs and services designed to maintain enterprise security standards.

Generative AI Hub

Access foundation models from various providers through a unified interface, enabling experimentation, prompt management, and enterprise-ready generative AI implementations.

Knowledge-Enhanced AI

Leverage built-in capabilities for Retrieval Augmented Generation (RAG) workflows using SAP HANA Vector Engine, enabling AI systems to access enterprise data for more accurate and contextual responses.

Use Cases

Enterprise Automation with AI

Connect AI capabilities to core business processes to automate complex tasks like invoice processing, customer service routing, or maintenance scheduling with predictive intelligence. 

Secure Generative AI Implementation

Deploy generative AI applications with built-in governance controls, ensuring responsible use while leveraging foundation models to transform content creation, summarization, and analysis. 

AI Model Factory Operations

Establish a centralized environment for data science teams to collaborate, experiment, and deploy models at scale while maintaining visibility and governance across initiatives. 

Legacy System Enhancement

Extend the capabilities of existing SAP and non-SAP systems by adding intelligence through AI services that can be deployed and managed without disrupting core operations. 

Cross-Platform AI Strategy

Unify AI initiatives across different cloud providers and on-premise systems with a consistent approach to development, deployment, and monitoring that spans your entire technology landscape.

Ready to bring enterprise AI from concept to reality?

Connect with our experts to learn how SAP AI Core can accelerate your business transformation.

Efficiency Unlocked:
Integration Case Study

Why us

With over 10 years of hands-on experience in system integration, Sygeon has been a trusted partner for businesses across industries. Our team includes certified Integration Suite architects and developers who stay current with the latest platform capabilities through continuous training and collaboration with SAP. Our journey with SAP Integration Suite started with its early versions, giving us deep expertise in the platform’s evolution and capabilities.

Enterprise AI Expertise

Our deep understanding of business processes combined with AI technical knowledge enables us to implement solutions that deliver measurable results aligned with your strategic goals.

End-to-End AI Lifecycle Support

We provide comprehensive guidance through each phase of your AI journey, from use case identification to production deployment, ensuring your initiatives achieve business impact.

Integration Specialists

We handle the entire process from initial assessment through deployment and monitoring, ensuring smooth integration with your existing sysaOur team excels at connecting AI Core with existing SAP landscapes and non-SAP systems, creating seamless workflows that enhance your core business operations with AI capabilities. tems.

Our experts are here to help.

Get in Touch with Us

Whether you’re looking for tailored migration solutions or just need more information, we’re here to support you every step of the way. Fill out the form below, and we’ll get back to you promptly.

Prefer to schedule a meeting?

Use our Calendly link or reach out directly to our expert.

Radosław Ruciński

SAP Integration Architect / co-owner






    Frequently Asked Questions

    01What's the difference between SAP AI Core and the Generative AI Hub?

    SAP AI Core is the underlying infrastructure service that powers AI workloads, while the Generative AI Hub is a capability within AI Core focused specifically on accessing and managing foundation models for generative AI use cases.

    Yes, SAP AI Core is designed to integrate with both SAP and non-SAP systems. It provides standardized APIs and integration points that allow AI capabilities to extend across your entire technology landscape. 

    SAP AI Core supports popular open-source frameworks including TensorFlow, PyTorch, and scikit-learn, along with languages like Python. This allows data science teams to use their preferred tools within an enterprise-grade infrastructure. 

    SAP AI Core is offered as a separate service on SAP Business Technology Platform, but many SAP applications leverage its capabilities to provide embedded AI features. You can also subscribe to it independently to power custom AI initiatives. 

    SAP AI Core includes enterprise-grade security features such as tenant isolation, data encryption, access controls, and audit logging. It’s designed to help organizations maintain compliance with data privacy regulations while implementing AI solutions. 

    Enterprise-Ready AI Infrastructure for Business Transformation

    In today’s competitive business landscape, organizations need more than just experimental AI capabilities – they need production-grade AI infrastructure that can deliver reliable results at scale. SAP AI Core addresses this need by providing a unified platform that bridges the gap between data science experimentation and enterprise deployment. 

    Unlike standalone AI tools that focus only on model development, SAP AI Core delivers a comprehensive infrastructure that addresses the entire AI lifecycle, from training and deployment to monitoring and governance. This approach significantly reduces the technical complexity typically associated with AI initiatives, allowing organizations to focus on business outcomes rather than infrastructure management. 

    For enterprises navigating complex regulatory environments, the platform’s built-in governance controls offer a structured approach to AI deployment that maintains compliance without sacrificing innovation speed. This combination of enterprise readiness and flexible deployment options positions SAP AI Core as a strategic foundation for organizations looking to scale AI initiatives across their business. 

    Accelerating Business Value with Generative AI Implementation

    Generative AI represents a transformative technology that can reshape knowledge work across industries, but implementing it securely in enterprise environments presents significant challenges. SAP AI Core addresses these challenges through its integrated Generative AI Hub, which provides controlled access to foundation models while maintaining enterprise security standards. 

     

    Organizations can rapidly implement generative AI use cases with reduced technical complexity through pre-built integrations and streamlined workflows. The platform’s ability to connect foundation models with enterprise data and processes enables higher-quality outputs that are relevant to specific business contexts. 

     

    By providing a unified approach to both traditional machine learning and generative AI, SAP AI Core enables organizations to build a cohesive AI strategy that leverages the most appropriate technology for each business challenge. This flexibility allows businesses to deploy AI solutions that combine predictive analytics with generative capabilities, creating more powerful applications than either approach could deliver independently.

    Building Cross-Platform AI Strategies with Hyperscaler-Agnostic Architecture

    Modern enterprise architectures often span multiple cloud providers and on-premise systems, creating challenges for organizations implementing AI at scale. SAP AI Core’s hyperscaler-agnostic approach provides a consistent layer for AI operations that works seamlessly across diverse technology landscapes. 

    This cross-platform capability enables organizations to implement AI strategies that transcend infrastructure boundaries, allowing technical teams to focus on delivering business value rather than managing complex integration points. For organizations with multi-cloud strategies, this approach offers significant advantages in maintaining operational consistency while still leveraging the unique capabilities of different cloud providers. 

    By incorporating vector search capabilities through integration with SAP HANA Vector Engine, the platform enables advanced retrieval augmented generation (RAG) workflows that connect foundation models with enterprise knowledge. This capability is particularly valuable for organizations looking to enhance generative AI with domain-specific information while maintaining data security and governance controls.

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