Why Quantiphi + Google Cloud
Partner for Services & Co-Sell
Google Cloud Partner of the Year awards
Data & Cloud engagements
Google Cloud professionals
Google Cloud certifications

Legacy Foundations Are Becoming The Bottleneck
Enterprises are ready to do more with AI, but many are held back by the systems that run the business today: siloed data, monolithic applications, expensive infrastructure, database dependencies, and modernization programs that take too long to execute.
Quantiphi helps modernize those foundations with an AI-powered engineering model built for speed, control, governance, and long-term value.
Use AI-powered engineering to accelerate assessment, planning, migration, refactoring, validation, DevOps, and infrastructure setup.
Bridge silos, refactor legacy systems, and build governed foundations for analytics, automation, and enterprise AI.
Operate modernized workloads with managed services, observability, FinOps, governance, reporting, and continuous optimization.

Codeaira- powered
delivery
Codeaira is Quantiphi’s proprietary agentic AI suite and a pioneer in the Tech Services-as-a-Software space. It helps accelerate modernization workflows across discovery, infrastructure build, code conversion, testing, validation, documentation, DevOps, and program governance.
Explore the AI-Native Data & Cloud Stack
AI-native transformation is not one migration, one platform, or one dashboard. It depends on every layer of the enterprise foundation working together. Choose where your modernization journey needs to start.
Cloud & Infrastructure Modernization
Migrate, secure, optimize, and operate cloud infrastructure built for scale, resilience, and AI workloads.
For enterprises facing VMware pressure, datacenter exits, infrastructure cost challenges, security needs, FinOps gaps, observability issues, or AI platform readiness goals, Quantiphi helps build the cloud foundation for what comes next.
KEY PLAYS & CAPABILITIES
OUTCOME
A resilient, optimized Google Cloud foundation for modern workloads, analytics platforms, and enterprise AI.
Modernization outcomes at enterprise scale
14,000+
Legacy tables migrated
Teradata to BigQuery modernization with 6.5K+ orchestration jobs automated.
~200 TB+
Migrated to Google Cloud
On-prem Cloudera Hadoop and Teradata modernization to improve AI/ML readiness.
1,300+
COBOL/JCL jobs decommissioned
Mainframe Corporate Data Warehouse migrated to Google Cloud in 10 months.
1,900+
VMs migrated
Application rationalization and migration from VMware and AWS EC2 to Google Compute Engine.
250+
AI use cases enabled
Enterprise-grade AI platform built with 100% SLA adherence.
~65%
Automation in testing and validation
AWS-to-Google Cloud migration with 30% increase in deployment frequency