A Secure Foundation with
AI Infrastructure
Powerful AI needs a powerful foundation. We build the data platform and AI architecture you need so that your AI applications run securely, efficiently and at scale, whether in the Swiss Azure Cloud, in a hybrid setup, or on-premises.
Our Services
Discover Our Solutions for Your AI Infrastructure
We design your AI infrastructure according to your requirements and needs. From a data platform with Microsoft Fabric to GPU-supported compute environments and zero-trust security with role-based access: your data and AI workloads remain under your control.
Data Platform
Unlock the Full Potential of AI with a Solid Foundation
Without a scalable data platform, the full potential of AI remains untapped. We create the foundation for central data availability, consistent data quality and seamless integration of data analytics and AI.
Unifying Data with Microsoft Fabric
With a Lakehouse architecture, we unite structured and unstructured data, enabling the use of data analytics, machine learning and generative AI in equal measure.
Combinations with Cosmos DB, Data Lake, Azure SQL
Off-the-shelf solutions rarely meet all expectations. That’s why we carefully select the components that suit you best and combine them into a customised platform solution.
Data Integration & ETL/ELT
By connecting your source systems to the data platform and harmonising and preparing the data, we create a reliable foundation for all AI applications you require.
Implementation of Data Governance & Quality
To ensure data supports sound decisions, we define clear responsibilities together, implement data catalogues and introduce well-defined metrics for data quality.
Managed Service
What Service Level Do You Need?
A data and AI platform is not a one-off project, but a living service. We take on ongoing operation and maintenance, or empower your teams to do so. You decide for yourself which service level you require.
24/7 Monitoring & Support
Our support teams are based in Switzerland and are always available. No queueing, no hotlines abroad.
Lifecycle Management
We handle updates and patches to keep your platform solution up to date at all times.
FinOps & Cost Optimisation
We ensure you always retain full visibility and control of ongoing costs: transparent, and for the benefit of your cost optimisation.
Architecture
Cloud, Hybrid & On-Prem: Where Should Your AI Workloads Run?
Every organisation has individual requirements for data storage, security, and performance. That’s why we tailor AI workloads and architectural solutions specifically to our clients’ needs: securely in the Swiss cloud, as hybrid solutions, or exclusively on-premises. This lets us provide flexible solutions offering maximum control.
Sovereign AI Cloud in Switzerland
In times of global uncertainty, data sovereignty is not a nice-to-have but business-critical. We operate your AI workloads in Swiss Azure data centres (regions North and West), never routed abroad.
Your sovereignty advantages
- No data transfer abroad
- ISO 27001-certified processes
- Full control via Entra ID, RBAC and PIM
Suitable hybrid & on-prem architectures
Not every AI workload belongs in the cloud. We offer vendor-neutral advice on which architecture best suits you, and implement the solution to meet your needs.
A tailor-made architecture for you
- Migration & modernisation of existing environments
- Integration of previous investments
- Hybrid data flows, secure and efficient
- Sovereign deployments for regulated industries
Dedicated Cloud
One Solution Per Client. An Architecture Just for You.
Whether hybrid or fully cloud-based: each of our AI infrastructures runs in a dedicated cloud architecture per client. This increases security and adaptability for your AI infrastructure.
Complete Data Sovereignty
Neither Microsoft nor other vendors or service providers can access your cloud-based AI infrastructure.
Secure Authentication
Your data and AI processes are protected against unauthorised access by the highest security standards and robust mechanisms.
Strict Data Segregation
By strictly separating your infrastructure from the AI models, we ensure your data is never used to train large language models or other generative AI.
Compliant & Transparent
Full, system-internal audit trails record every activity and change in your infrastructure. This guarantees maximum traceability for both internal and external compliance requirements.
Compute Infrastructure
Cost-Efficient, Scalable Computing Power
AI workloads require strong and flexible compute resources. We offer independent advice, helping you find the best value for money and ensuring you get exactly the compute capacity you need for your AI workloads.
GPU Instances in Azure Cloud or On-Premises
We assemble a powerful hardware package for all your AI calculations, available flexibly in the cloud or your own on-premises environment.
Inferencing & Training in Separate, Optimised Environments
Training and inference processes run on dedicated, optimised platforms delivering maximum efficiency and security.
Cost Transparency with FinOps Practices
With proven FinOps methods, we ensure you always have full control and transparency over your budget.
Edge AI for Industrial Use Cases and Real-Time Scenarios
For the most demanding use cases, we offer Edge AI solutions – deploying AI directly at the source. This delivers minimal latency and maximum resilience.
MS Foundry
Benefit from innovative tools and services of the Microsoft Foundry Platform for developing and integrating AI.
Range of LLMs
Choose from a variety of high-performance Large Language Models for special use cases. We are happy to advise you on the most suitable models for your needs.
Security & Compliance
Secure Infrastructure, No Compromises
Our AI infrastructures are designed according to the "security by design" principle and meet the strictest compliance standards. Data protection and regulatory requirements are not afterthoughts, but a core pillar of our solution.
Zero Trust Architecture
Every access and request is checked using conditional access, ensuring only authorised persons can interact with your environment.
Role-Based Access Control (RBAC)
With Privileged Identity Management (PIM) and the principle of least privilege, users and systems are granted only the permissions they genuinely require.
Data Encryption
Your data is reliably encrypted at all stages: at rest, in transit, and in use.
Central Identity Platform
All user identities are managed and protected centrally using Entra ID.
Monitoring & Audit Logs
All activities are continuously monitored and logged to ensure transparency and traceability, around the clock.
Data Privacy & Compliance
Our solutions comply with the AI Act, Swiss Data Protection Act (DSG), GDPR and FINMA guidelines.
Next Steps
What infrastructure do your AI applications need?
Our Data & AI experts offer you detailed advice and will discuss your options with you. Simply send us a message, and we will contact you without delay.
FAQ
What You Want to Know
Can we continue using our existing Azure environments?
Yes. We integrate and extend existing infrastructures rather than replacing them.
What happens to our data in the cloud if we change provider?
With a clear data architecture and open standards, you remain portable. Vendor lock-in is minimised.
How long does it take to build an AI platform?
Depending on the scope, typically between 3 and 9 months from kick-off to go-live.
Does SPIE ICS also support on-premises setups?
Yes. With Azure Stack HCI and Azure Arc, we implement hybrid and on-premises scenarios.