Cloud AI Platforms
We are certified across all three major hyperscalers and advise on the right platform — or combination of platforms — for each AI use case.
Microsoft Azure AI
Azure is the preferred platform for organizations deeply embedded in the Microsoft ecosystem, regulated industries, and enterprise Generative AI. Key services include Azure OpenAI (GPT-4o, DALL-E), Azure Machine Learning, Azure Databricks, Azure AI Search for RAG architectures, Copilot Studio, Prompt Flow, and Azure Cognitive Services across vision, speech, language, and document intelligence.
Amazon Web Services AI
AWS offers the broadest catalog of AI/ML services, making it ideal for data-intensive workloads, e-commerce personalization, and organizations already running on AWS infrastructure. Key services include Amazon SageMaker (Pipelines, Autopilot, Canvas), Amazon Bedrock (Claude, Titan, Llama), Amazon Q, Amazon Comprehend, Amazon Rekognition, Amazon Transcribe, Amazon Forecast, and Amazon Personalize.
Google Cloud AI
Google Cloud leads in research-backed AI and open-source ML, making it the natural home for organizations working with large-scale data, BigQuery analytics, and cutting-edge foundation models. Key services include Vertex AI Workbench, Gemini 1.5 Pro, Vertex AI Agent Builder, BigQuery ML, AutoML, Kubeflow Pipelines, Vision AI, Natural Language API, and Document AI.
Engagement Models
