AI ml

Drive innovation with AI/ML-powered cloud solutions

Harness the power of Microsoft Azure AI Foundry, AWS SageMaker, Google Vertex AI, and Vertex DB for advanced search and RAG. From strategic consulting to custom model development, scalable deployment, and robust application hosting (web jobs, app services, microservices), we deliver end-to-end solutions to drive success.

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Welcome to our cutting-edge AI and Machine Learning (AI/ML) cloud services, where innovation meets scalability. We specialize in delivering end-to-end AI/ML solutions using industry-leading platforms: Microsoft Azure AI Foundry, Amazon Web Services (AWS) SageMaker, and Google Cloud Vertex AI. Our services encompass consulting, development, and deployment, alongside robust application hosting capabilities, including web jobs, app services, and microservices. 
Let us help you harness the power of AI/ML to drive business success.

Unleash Intelligent Growth with ElevixTech AI/ML Cloud Services

Consulting

  • Platform Selection: We assess Azure AI Foundry, AWS SageMaker, Google Vertex AI, and Vertex DB to identify the optimal combination for your cloud ecosystem, technical needs, and budget.

  • Use Case Identification: We pinpoint high-impact AI/ML and search use cases, such as predictive analytics, customer personalization, or semantic search, and RAG with Vertex DB for enhanced content retrieval.

  • Cost Optimization: We provide cost-benefit analyses, leveraging Azure Reserved Instances, AWS Savings Plans, Google Cloud’s pay-as-you-go pricing, and Vertex DB’s scalable pricing to maximize ROI.
  • Integration Planning: Ensure seamless integration with your systems, combining Azure’s enterprise tools, AWS’s ecosystem, Google’s BigQuery, and Vertex DB’s Elasticsearch for advanced search and RAG.

Development

  • Azure AI Foundry: Deploy models as scalable endpoints with Azure Kubernetes Service (AKS) or Azure Container Instances, using Prompt Flow for real-time and batch predictions.
  • AWS SageMaker: Utilize SageMaker Studio’s IDE for model development, with built-in algorithms, Jupyter notebooks, and automated hyperparameter tuning for tasks like classification and generative AI.
  • Google Vertex AI: Develop with AutoML and custom training, leveraging Cloud TPUs and integrating with BigQuery for data-heavy tasks like NLP and computer vision.
  • Vertex DB for Elasticsearch and RAG: Implement scalable Elasticsearch indices for high-performance search and RAG pipelines to enhance AI models with context-aware responses, integrating seamlessly with Vertex AI for unified workflows

Deployment

  • Azure AI Foundry: Deploy models as scalable endpoints with Azure Kubernetes Service (AKS) or Azure Container Instances, using Prompt Flow for real-time and batch predictions.

  • AWS SageMaker: Offers serverless inference and multimodal endpoints, with CloudWatch monitoring and auto-scaling for dynamic AI workloads.

  • Google Vertex AI: Deploy models with low-latency serving via Google Kubernetes Engine (GKE), supporting edge deployments with TensorFlow Lite and Edge TPU.
  • Vertex DB for Elasticsearch and RAG: Deploy Elasticsearch indices for fast, scalable search and RAG pipelines for context-enhanced AI responses, integrated with Vertex AI for seamless deployment.

Application Hosting & Services

  • Azure Hosting and Development: Azure App Service, Azure Functions, Azure Kubernetes Service (AKS), Vertex DB. Azure SQL Database, Azure Blob Storage, Azure Arc, Azure Bot Service, Azure Site Recovery, Azure Virtual Network

  • AWS Hosting: AWS Elastic Beanstalk, AWS Lambda, AWS Lambda, Vertex DB Integration, Amazon RDS, Amazon DynamoDB, Amazon S3, AWS Control Tower, AWS Security Hub, Amazon Kinesis

  • Google Hosting: Google App Engine, Cloud Functions, Google Kubernetes Engine (GKE), Vertex DB Integration, Cloud SQL, BigQuery, Cloud Pub/Sub, Anthos, Cloud Armor, Cloud DNS

#2. Our Proven Approach

Development Analysis: Assess technical and operational needs.

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Architecture Design: Scalable and future-ready blueprints.

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Workflow Optimization: Tailored business processes for seamless operations.

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#3. Case studies

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Accelerate Innovation with AI-Powered Digital Infrastructure.

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