Scalable and Secure AI Infrastructure
We design and implement AI-ready architectures for SMBs that grow with your company. Cloud-native, secure and optimized for critical performance.
AI Architecture for SMBs
Complete infrastructure for every phase of the AI lifecycle
Cloud AI Platform
Multi-provider cloud-native platforms (AWS, Azure, GCP) optimized for AI workloads with auto-scaling and disaster recovery.
Learn moreMLOps Pipeline
Complete pipelines for training, testing, deployment and monitoring of AI models with integrated CI/CD and advanced versioning.
Learn moreData Architecture
Scalable data architectures with data lake, feature store and ETL pipelines to feed your AI models with quality data.
Learn moreSecurity & Compliance
End-to-end security with encryption, access control, audit trail and GDPR compliance to protect your AI assets.
Learn moreMonitoring & Analytics
Real-time dashboards for performance, costs, model drift and business metrics with intelligent alerting and automated reporting.
Learn moreEdge Computing
On-premise and edge AI deployment for ultra-low latency, data privacy and real-time critical operations.
Learn moreTechnology Stack
Leading technologies we use to build robust AI infrastructure
Cloud & Orchestration
MLOps & CI/CD
Data & Storage
AI/ML Frameworks
Our Approach
Proven methodology for successful AI infrastructure
Assessment
Analysis of existing infrastructure and specific AI requirements
Design
Scalable architecture design with best practices
Implementation
Incremental deployment with continuous testing and validation
Optimization
Monitoring, performance tuning and continuous improvement
Use Cases for SMBs
AI infrastructure transforming diverse industries
Manufacturing Intelligence
IoT-AI platform for predictive maintenance, quality control and production optimization with edge computing for ultra-low latency.
Financial AI Platform
Real-time infrastructure for fraud detection, risk analysis and algorithmic trading with banking-grade compliance and security.
Retail & E-commerce
Recommendation and personalization system at scale with data pipelines for inventory optimization and customer analytics.
Healthcare AI
HIPAA-compliant infrastructure for medical imaging, diagnostic support and patient monitoring with guaranteed data privacy.
Frequently Asked Questions
What is AI infrastructure and why do SMBs need it?
AI infrastructure is the technical foundation (cloud platforms, data pipelines, MLOps tools, and security layers) that enables businesses to run AI workloads reliably. SMBs need it to deploy AI models at scale, process data securely, and maintain 99.9% uptime without building expensive in-house systems.
How long does it take to set up AI infrastructure?
PugliAI completes AI infrastructure setup in as little as 15 days for starter packages. Our proven methodology covers assessment, architecture design, cloud configuration, data pipeline implementation, and team training. Full enterprise setups typically take 60-90 days.
How much does AI infrastructure cost compared to on-premise?
Our cloud-native AI infrastructure reduces costs by up to 70% compared to traditional on-premise setups. Packages start at €15,000 for starter infrastructure, €35,000 for professional, and €75,000 for enterprise-grade. You pay only for what you use with auto-scaling capabilities.
Which cloud providers does PugliAI support?
We build multi-provider cloud-native platforms across AWS, Microsoft Azure, and Google Cloud Platform. Our infrastructure uses Kubernetes for orchestration, Docker for containerization, and Terraform for infrastructure-as-code, ensuring flexibility and avoiding vendor lock-in.
Is PugliAI's AI infrastructure GDPR compliant?
Yes, all our infrastructure is GDPR compliant by design. We implement end-to-end encryption, strict access controls, comprehensive audit trails, and data residency in EU regions. Our security framework also supports HIPAA, PCI-DSS, and ISO 27001 requirements.