
Research, packaged for commercial deployment.
Four capability areas where Wiz puts its research and platforms to work. Each one starts with the underlying research, runs through tested methods, and ends in production systems your teams can run.
Where We Deliver
Each area carries a research domain behind it. Click through for the full scope, the deployment patterns, and the case studies that prove them out.
Research domain · Data engineering
Data
Governance, quality, migrations, master data management, insights and reporting. We architect, build, and run data platforms that survive change.
Lakehouse · MDM · Data quality · Governance · BI · ETL/ELT

Research domain · Artificial intelligence
AI
Pilot programs, automation, analytics, conversational and generative AI. We move organisations from AI curiosity to AI production without skipping the engineering work in between.
LLMs · Document intelligence · Agentic workflows · Predictive analytics · MLOps

Research domain · Cloud architecture
Cloud
Migration, modernisation, managed services, and deployments across Azure, AWS, and GCP. We build cloud foundations that scale without forklift upgrades.
Multi-cloud · Migration · Modernisation · DevOps · Infrastructure as code

Research domain · Strategy and architecture
Advisory
Strategy, change and process management, and risk mitigation. We work alongside leadership to make better technology decisions before any build begins.
Strategy · Architecture · Change management · Risk advisory · Vendor selection


Every engagement designed for maximum impact, minimum friction.
Our solutions are delivered using both off-the-shelf technology and our own platforms. SennAI powers document-heavy work inside Data engagements. Datalysis surfaces analytics for AI clients. Factory4Agent extends conversational AI into voice. DataCommand is the foundation for new master data and data quality programmes. Léargas and Lúth bring spacetech and robotics capability into Solutions when the engagement calls for it.
Solutions sit on top of platforms
See our platforms
Each platform began as a research problem and now runs inside engagements or as a standalone product. Understanding what they do helps you see what your Solutions engagement is actually built on.














































Agnostic by Design, experts by choice
We plug into the stack that powers your organisation’s future

Process automation and team productivity tools
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Full Stack Microsoft Power Platform & Sharepoint
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Salesforce Cloud
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Jira
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Slack
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Modern lakehouse platforms unifying structured and unstructured data
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Snowflake
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Microsoft Fabric
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Databricks
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Onelake
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Data Governance Compliance and quality frameworks for trusted data
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Microsoft Purview
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Collibra
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Flexible storage and orchestration for data at scale
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MongoDB
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Azure SQL
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PostgreSQL
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Google Storage
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Apache Airflow
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Azure Data Factory
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Business intelligence platforms delivering actionable insights
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Azure Synapse
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Power BI
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Tableau
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Enterprise platforms ensuring single source of truth & golden records
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Informatica
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Profisee
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Semarchy xDM
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AI platforms for intelligent solutions
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Azure AI
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TensorFlow
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OpenAI
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PySpark
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Cloud Infrastructure, Integration, and Deployment Multi-cloud expertise with automated deployment​
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Microsoft Azure, AWS, and Google Cloud
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Terraform
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Docker
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Kubernetes
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GitHub Actions
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Frontend & Backend Full-stack development frameworks for modern applications
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Angular, React, and JavaScript
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CSS
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.NET
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Spring Boot
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Node.js
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Comprehensive security and access management
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Azure Active Directory
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Auth0
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Microsoft Sentinel
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Splunk
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Each Solutions area is delivered through one of four engagement models. Custom Pods for focused mission work. Embedded Teams when capability transfer matters. Managed Services when you need someone running things day to day. Project Delivery when scope, timeline, and budget need to be fixed up front.
How a Solutions engagement runs
See the four engagement models in full
Engagement model, commercial structure, delivery assurance, and global capability — all detailed on the How we deploy page.

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