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WizeTek Solutions

Consulting

Technology consulting focused on delivery

WizeTek helps organizations design, modernize, and build the technology behind critical business initiatives — from AI and data platforms to cloud architecture and custom software.

Our growing consulting practice combines strategy, architecture, engineering, implementation, and ongoing support across Azure, AWS, and Google Cloud.

Multi-Cloud, Data & Analytics

Build a modern foundation for data and AI

We help organizations modernize cloud and data environments, connect fragmented systems, and build reliable platforms for analytics, AI, and operational workloads.

Multi-cloud

The platforms we build on

Azure, AWS and Google Cloud carry most of our work — data, AI, and the applications we deploy on top. Pick a platform to see what we deliver on it.

Microsoft Azure

Our deepest bench. End-to-end data, AI and application platforms on the Microsoft stack.

Azure Data Factory

Orchestrated ingestion and ELT across your source systems.

Synapse Analytics

Warehousing and large-scale analytics workloads.

Microsoft Fabric

Unified analytics where it fits better than assembling parts.

Azure Machine Learning

Model training, registry, deployment and monitoring.

Azure Kubernetes Service

Containerized apps with autoscaling and zero-downtime deploys.

Azure App Service & DevOps

Web apps and APIs shipped through managed CI/CD pipelines.

AWS

Serverless-first data platforms, ML and container workloads on Amazon's managed services.

AWS Glue

Serverless ETL and the catalog behind it.

Amazon Redshift

Warehousing for consistent, governed reporting.

Amazon SageMaker

Model development through to managed endpoints.

AWS Lambda

Event-driven glue between systems and pipelines.

Amazon ECS & EKS

Containerized services with autoscaling and rolling deploys.

CodePipeline & CloudFront

Build, release and serve applications close to their users.

Google Cloud

Analytics and AI built around BigQuery and Vertex, with GKE and Cloud Run underneath the applications.

BigQuery

Warehousing and analytics at scale, with no cluster to run.

Dataflow

Streaming and batch pipelines on Apache Beam.

Vertex AI

Model training, tuning, deployment and generative AI.

Looker

Governed metrics and self-service exploration.

Google Kubernetes Engine

Containerized workloads with autoscaling and rolling deploys.

Cloud Run & Cloud Build

Serverless containers shipped straight from your repository.

Databricks

Lakehouse architecture, the same on whichever cloud it runs.

Lakehouse platform

One platform for engineering, analytics and ML.

Medallion architecture

Bronze, silver and gold layers with clear contracts.

Unity Catalog

Governance, lineage and access across workspaces.

MLflow

Experiment tracking and model registry.

Oracle Cloud

Data platform and migration work on Oracle Cloud Infrastructure.

Autonomous Database

Warehousing on Oracle's managed database services.

OCI data integration

Pipelines into and out of the Oracle estate.

Migration to and from OCI

Moving workloads without losing the reporting behind them.

SAP

Getting SAP data out to where the rest of the business can use it.

SAP data extraction

Reliable extraction into your analytics platform.

Integration with cloud platforms

SAP alongside Azure, AWS or Google Cloud.

Reporting on SAP data

Dashboards that combine SAP with everything else.

Not sure which of these you need?

Tell us the problem rather than the solution. We’ll come back with what we’d do first, and what can wait.