The cloud most enterprises run was built to host applications. AI asks more of it, orchestrating agents, serving inference, moving data continuously, and staying governable at scale. DBiz builds that foundation across AWS, Azure, and Google Cloud: the execution layer your intelligent systems actually need.
We design, build, and run the cloud your AI depends on, so agents, models, and data pipelines sit on a platform that is fast to stand up, safe to operate, and predictable to pay for. One operating model across AWS, Azure, and Google Cloud, whether you run on one or all three.
What you can count on
3+ yrscloud delivery
150+PoCs & solutions shipped
100+skilled cloud engineers
10+proprietary accelerators
40+AWS-certified consultants
6countries delivered
Every environment is engineered to carry production AI, the workloads behind NEXUS, FactWeavers™, Agent Studio, and enterprise automation.
AI-Ready Cloud Architecture
A platform your AI can actually run on, engineered for agents, inference, and automation at enterprise scale, rather than retrofitted after the fact.
AWS Bedrock, Azure OpenAI, and Vertex AI deployment
Kubernetes orchestration across EKS, AKS, and GKE
RAG infrastructure and vector-enabled architectures
MLOps and AI delivery pipelines
Well-Architected Reviews with AI-specific considerations
Built in-house
Accelerators that compress cloud delivery.
Proprietary AI platforms that turn months of cloud engineering into hours.
Standing up production-grade cloud usually means months of architecture, provisioning, and hardening before the first workload runs. Our accelerators compress that to hours, without cutting the corners that keep you secure and compliant.
AI generates the infrastructure, applies proven landing zones and patterns, and bakes in security, governance, and cost control from the first deployment. Your teams get a running platform instead of a backlog.
Two proprietary platforms carry the work, DBiz Weaver to build, DBiz Scoop to migrate.
Where they sit in the cloud lifecycle
01
Foundation
Architecture, landing zones, and AI-ready infrastructure, stood up in hours.
DBiz Weaver
02
Migrate
Existing workloads discovered, planned, and moved wave by wave.
DBiz Scoop
03
Observe
Security, telemetry, and full-stack observability across the estate.
04
Optimise
FinOps, right-sizing, and continuous improvement over the lifecycle.
Cloud deployment platform
DBiz Weaver
Provisions production-ready environments on Azure and AWS in hours, AI-generated infrastructure, ready-made landing zones, and reusable patterns, governed by default.
Key capabilities
AI-generated IaC templates with intelligent validation
Auto-remediation, smart sizing, and cost optimisation
Platform & application Landing Zones, industry blueprints (BFS)
Self-service control plane with ITSM integration (ServiceNow, Jira)
Zero Trust-aligned deployment patterns, web apps, microservices, data platforms, APIs
Business value
Weeks → hoursStand up production environments in an afternoon, so projects start delivering value on day one.
Zero compliance debtSecurity, governance, and policy baked in from the first deploy, never audited in after the fact.
Repeatable by designOne standardised, adaptable foundation teams reuse across projects: less rework, faster scale.
Migration platform
DBiz Scoop
Moves existing workloads to Azure and AWS with far less risk, AI-driven discovery, dependency-aware wave planning, and largely automated execution.
Key capabilities
Automated workload discovery and dependency mapping
AI-driven wave planning by dependency, risk, and priority
AI rightsizing and cost optimisation for target cloud
Risk prediction, impact analysis, and auto-remediation
Native tool integration, Azure Migrate, AWS MGN, with reusable playbooks
Business value
Months → weeksCompress migration timelines dramatically, freeing budget and teams far sooner.
Move without the outageDependency-aware waves keep downtime and business disruption to a minimum.
Repeatable across the estateSecure, compliant migrations you can run data centre after data centre.
Proof
Proof in practice
Cloud work, measured in production.
FinOps optimisation
[X]%cloud spend reduced
FinOps governance and right-sizing applied across a multi-cloud estate.
Zero-downtime migration
0hours downtime
Azure migration completed with no interruption to production workloads.
AI-ready foundation
[X] wksto production-ready
AI-ready cloud foundation designed, built, and handed over.
Ecosystem
Delivered through the world’s leading hyperscalers.
Certified across every major cloud and the AI platforms built on top of them, real depth on the tools you’ve chosen, with no single-vendor bias.
AWS
Advanced Tier Partner
GenAI, Cloud Operations, and Data & Analytics competencies with Amazon Redshift Service Delivery. 40+ certified consultants, Solutions Architect & DevOps Professional, Security & ML Specialty.
Microsoft
Solutions Partner · CSP
Solutions Partner across Infrastructure, Digital & App Innovation, and Data & AI, with a Kubernetes-on-Azure specialisation. 150+ certifications and CSP direct-bill.
Google Cloud
Cloud Partner
GKE, Vertex AI, BigQuery, and Anthos, delivered as part of genuine multi-cloud platform engineering.
AI Ecosystem
Platform integrations
Anthropic Claude, Snowflake, and Databricks integrated into governed enterprise AI platforms.
+ platform ecosystem
AWS BedrockAzure OpenAIVertex AIEKSAKSGKEBigQueryGuardDutyDefender for CloudWell-ArchitectedFinOpsAWS BedrockAzure OpenAIVertex AIEKSAKSGKEBigQueryGuardDutyDefender for CloudWell-ArchitectedFinOps
How we work
Engagement models
Four shapes, from advisory to run.
01
Cloud Strategy & Advisory
Cloud architecture, roadmap development, and readiness assessments.
02
Cloud Foundation Build
Design and implementation of AI-ready cloud environments.
03
Migration & Modernisation
Application, infrastructure, and data transformation programmes.
04
Cloud Operations & Optimisation
Ongoing management, governance, observability, and cost optimisation.
[Z·02] NEXT STEP
Great AI needs infrastructure that can carry it. Let’s build yours.