Cloud Partner — Google Cloud Platform

Google Cloud — built for data, AI and modern application estates.

Google Cloud is where data-heavy and AI-led workloads find their stride — BigQuery for analytics at scale, Vertex AI for production ML, GKE for the modern application platform. We design GCP architectures that bring those capabilities into a coherent operating model — governed, secured and tied back to the outcomes that actually matter.

Talk to a GCP architect See what we deliver

Google Cloud — engineered for data gravity, scaled for AI in production.

Why partner with NOVAIQ on GCP

Senior practitioners — engineering the platform, not just deploying it.

Data and AI as first-class citizens

BigQuery, Vertex AI and Looker designed as one integrated layer — analytics, ML and decision tooling on a shared governance plane rather than three siloed stacks.

Modern application foundations

GKE, Cloud Run and Anthos brought together so application teams ship containerized workloads without owning the platform underneath.

Open and portable by design

Reference architectures lean on open standards — Kubernetes, BigLake, Terraform — so the platform stays portable and the lock-in stays low.

Security woven into the platform

Chronicle and Security Command Center wired into the SOC from day one — VPC Service Controls, IAM conditions and BeyondCorp delivered as the default posture.

What we deliver

Capabilities, scoped for GCP estates.

Each engagement is shaped to where you are on the GCP journey — from first landing zone to enterprise-wide operations.

GCP Landing Zone design with org-policy and resource-hierarchy guardrails

BigQuery and Looker analytics platform builds

Vertex AI deployments for production ML and generative AI

GKE Enterprise and Cloud Run modernization for application estates

Workload migration from on-premise and other clouds

Anthos and hybrid-cloud architectures for regulated workloads

Chronicle SIEM and Security Command Center integration

Apigee and Cloud Identity for API-first and zero-trust foundations

Outcomes

What changes after we're engaged.

Stand up production-grade BigQuery + Vertex AI in 8-12 weeks

Cut analytics infrastructure cost by retiring legacy warehouses

Ship application platforms developers actually want to use

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A 30-minute conversation with a senior architect — no slide deck, no obligation.

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