Cloud AI landing zones
Secure, well-run foundations for AI workloads.
We architect and deploy agents on AWS, Microsoft Azure and Google Cloud, using managed models, agent runtimes and guardrails, in-region where data residency demands it.
We architect and deploy agents on AWS, Microsoft Azure and Google Cloud, using managed models, agent runtimes and guardrails, in-region where data residency demands it. Partners: AWS, Microsoft Azure and Google Cloud.
Updated October 2026
Secure, well-run foundations for AI workloads.
Managed agent services with identity, memory and observability.
The right model per task on cost, quality and latency.
Data residency on local cloud regions.
Vendor-neutral: we recommend, implement and support the platform that fits your needs.
The Hyperscaler AI Platforms technologies we deliver, side by side.
| Partner | Best for | Role in your stack | Typical industries |
|---|---|---|---|
| Build and scale agents with Amazon Bedrock and AgentCore | Hyperscale, in-region agent runtime with managed models, memory, identity and guardrails. | Banking & Financial Services, Telecommunications, Oil & Gas | |
| Enterprise agents with Microsoft Foundry, Azure OpenAI and Copilot Studio | Deep Microsoft 365 integration and in-country regions for enterprise and government agents. | Banking & Financial Services, Telecommunications, Oil & Gas | |
| Gemini models, Vertex AI and an open agent ecosystem | Multimodal Gemini models and open agent protocols for interoperable, multi-agent systems. | Retail & Consumer, Telecommunications, Banking & Financial Services |
Not sure which fits? We are vendor-neutral and will recommend based on your data, budget and regulator.
Scalable agents for contact centres and digital channels.
Extract and reason over contracts, claims and applications.
In-country agents integrated with Microsoft 365 and Dynamics.
Agents that prepare client briefs and follow-ups in Outlook and Teams.
Agents that understand voice, images and text from customers.
Analyse network and customer data in BigQuery for agent insight.
Map the use cases, data and integrations where Hyperscaler AI Platforms creates value; agree the KPI.
Architect Hyperscaler AI Platforms within your stack: identity, data access, security and where it runs.
Configure, integrate and test Hyperscaler AI Platforms, with agents and automations where they add value.
Adoption, managed support and continuous optimisation of your Hyperscaler AI Platforms investment.
Remote and on-site delivery, designed around each country's data protection and residency rules.
United Arab Emirates, Saudi Arabia, Oman, Qatar, Bahrain, Kuwait
Microsoft Azure UAE North (Dubai) and UAE Central (Abu Dhabi)AfricaSouth Africa, Nigeria, Kenya, Egypt
AWS Africa (Cape Town) RegionUSAUnited States
AWS US regions and AWS GovCloud (US)IndiaIndia
AWS Mumbai and Hyderabad regionsCanadaCanada
AWS Canada (Central) and Canada West (Calgary) regionsEach has strengths: model choice, Microsoft 365 integration, data platforms and regional presence. We recommend per workload and design for portability.
We deliver Hyperscaler AI Platforms with AWS, Microsoft Azure and Google Cloud, and recommend the right fit after understanding your requirements.
Yes. We deliver Hyperscaler AI Platforms consulting, implementation and managed services across the Middle East, Africa, USA, India and Canada, on-site and remotely.
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Prefer email? contact@nitronedge.com · or call +971 56 422 8606