Certified. Proven. Trusted.
Wavicle is a Google Cloud Partner helping enterprises modernize data platforms, analytics, and AI using BigQuery, Gemini Enterprise, Looker, Vertex AI, and cloud‑native architectures. We focus on production‑grade outcomes, governed data, scalable analytics, and AI that delivers business impact.
The fast lane to smarter decisions
- Certified cloud & AI experts
- Faster & higher value, lower cost
- Streamlined & modern data stack
Cloud and AI Scalability on
Google Cloud
Enterprise-Grade Architecture
Google Cloud Platforms are engineered for legacy estates, hybrid deployments, and enterprise security architectures. Designed to support global scale workloads and complex enterprise data ecosystems.
Migration to Modern Data Platforms
Legacy data and analytics platforms modernized into cloud-native GCP architectures. Foundations built to support analytics engineering, machine learning pipelines, and enterprise reporting.
Integrated GCP Data Stack
Hands-on implementation across BigQuery, Gemini Enterprise, Looker, Dataflow, Dataproc, and Vertex AI. Components architected as an integrated data processing, analytics, and machine learning platform.
Industry-Aligned Architectures
GCP architectures modeled around industry data workflows, operational systems, and domain data models. Solutions aligned with enterprise application landscapes and real operational workloads.
Built-In Data Governance
Data governance embedded across pipelines, storage layers, and analytics environments. Includes lineage tracking, role-based access control, and cost observability across the data platform.
Acceleration Frameworks
Migration and platform modernization supported by Wavicle delivery accelerators. Standardized frameworks reduce migration complexity and shorten enterprise transformation timelines.
Google Cloud Services
We Deliver
Backed by Wavicle accelerators and repeatable delivery frameworks to reduce time‑to‑value.
Cloud
Google Cloud Data Platform Architecture
Design, modernize, and scale enterprise data platforms on GCP to enable real-time analytics, BI, and AI while reducing costs and technical debt.
- Built on GCP-native services like BigQuery, Cloud Storage, Dataproc, and Dataflow for high-performance, scalable data processing
- End-to-end migration of warehouses, ETL pipelines, and BI systems with minimal disruption
- Optimized for hybrid and multi-cloud environments with improved performance, agility, and real-time insights
Data
Analytics Engineering on BigQuery
Build modern, scalable analytics ecosystems on BigQuery with governed BI enablement, delivering trusted, real-time insights
- Native BigQuery analytics engineering with performance-tuned, cost-efficient architectures for real-time insights
- Looker and Looker Studio enablement, including migration and semantic model modernization
- Secure, governed self-service analytics for business and data teams without compromising control
AI
AI Enablement & Intelligent Apps on Google Cloud
Design and deploy enterprise-grade AI solutions on GCP, enabling intelligent applications and data-driven decision-making at scale.
- End-to-end AI enablement with Vertex AI, including pipelines, feature stores, and production-ready MLOps
- Development of AI-powered applications with predictive, prescriptive, and natural language–driven decision intelligence
- Secure, governed AI integrated with analytics platforms to deliver scalable, enterprise-ready insights
Fuel Gemini‑Ready Decisions
with Hyperdrive on GCP
Hyperdrive modernizes analytics and data foundations on Google Cloud, so your data is trusted, scalable, and ready to power Gemini‑driven insights across the enterprise.
Industry-First
Google Cloud Implementations
Google Cloud delivers the most value when platform capabilities are applied through industry context.
Retail, Consumer Goods & Travel
- Unified customer, demand, and supply‑chain data on BigQuery
- AI‑driven personalization, forecasting, and real‑time decisioning
Healthcare & Life Sciences
- Secure, compliant analytics and AI foundations on Google Cloud
- Governed data platforms supporting analytics and ML teams
Manufacturing & Supply Chain
- Plant, ERP, and operational data integrated on GCP
- Predictive maintenance and demand planning at scale
Financial Services
- Risk, compliance, and analytics platforms built on GCP
- Secure, scalable architectures supporting AI‑driven insights
Proven Google Cloud
Delivery Frameworks
Modernization acceleration toolkit
Accelerate your Google Cloud journey with Wavicle’s GCP-aligned data, analytics, and AI enablement toolkit. Pre-built architectures, migration frameworks, and platform accelerators designed to modernize data foundations and operationalize AI at scale.
HyperDrive
Structured modernization approach
HyperDrive
Structured approach to assess, plan, and modernize data platforms to GCP with minimal disruption.
EZConvertBI
Legacy BI to Looker automation
EZConvertBI
Automated conversion of legacy BI assets to Looker and Looker Studio.
ETL
Modern ETL transformation
ETL
Modernize legacy ETL to Dataflow, Dataproc, and Spark-based pipelines.
Governance
Secure & controlled data operations
Governance
Embedded security, access control, lineage, and cost governance.
AI Enablement
Production-ready AI delivery
AI Enablement
Production-ready AI delivery using Vertex AI and governed MLOps patterns.
Modernize BI with a governed semantic layer, scalable performance, and consistent metrics by migrating legacy reporting and dashboards to Looker and Looker Studio, aligned to your BigQuery architecture and enterprise access controls.
- Assessment and migration planning for reports, dashboards, and semantic logic
- LookML model design, modernization, and metric standardization.
- Performance tuning and cost-aware query patterns on BigQuery
- Role-based access control, content governance, and environment strategy (dev/test/prod)
- Enablement: best practices, training, and self-service adoption for business teams.
Accelerate GenAI adoption with a repeatable framework that connects enterprise data to trusted AI experiences, designed for security, governance, and measurable business outcomes on Google Cloud (Gemini Enterprise + Vertex AI + BigQuery).
- Use-case discovery and value mapping (assistants, search, summarization, classification)
- RAG design: document ingestion, chunking strategy, embeddings, and retrieval evaluation
- Guardrails: prompt standards, access controls, PII handling, and policy-aligned responses
- Deployment patterns on Vertex AI with monitoring, feedback loops, and cost controls
- Integration of Gemini Enterprise with existing apps and analytics workflows for adoption at scale
Build and scale a cloud-native analytics foundation on BigQuery, optimized for performance, governance, and cost efficiency, supporting enterprise reporting, analytics engineering, and AI-ready datasets.
- Reference architecture: datasets, projects, networking, and environment separation
- Data modeling and transformations (ELT) aligned to analytics and BI consumption
- Performance engineering: partitioning, clustering, materialized views, and query optimization
- Governance and security: IAM, row/column-level security, data lineage, and auditability
- Cost management: reservations, slot strategy, monitoring, and chargeback/showback patterns
Why Wavicle
+ Google Cloud
Platform Expertise
Google Cloud Partner with deep platform expertise
Proven Frameworks
Proven delivery across BigQuery, Looker, and Vertex AI
Certified Experts
500+ Data, Cloud and AI Consultants
Enterprise Ready
Enterprise‑Grade Accelerators – Migration, analytics, and AI frameworks
Move Faster on Google Cloud, Without Compromising Scale
Whether you’re migrating analytics workloads, modernizing data platforms, or operationalizing AI, Wavicle helps you turn Google Cloud into a reliable enterprise foundation.
