Google Cloud

Unlock Google Cloud's Power
for Data, AI, and Scale

Unicrats GCP-certified engineers design and manage Google Cloud environments built for data analytics, machine learning, and cloud-native applications. BigQuery, Vertex AI, and GKE experts.

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40% Avg GCP Cost Reduction
25+ GCP Projects Delivered
ACE/PCE GCP Certified Team
10x Faster Data Queries with BigQuery

Google Cloud Platform is the cloud of choice for data-driven organisations. BigQuery's serverless analytics, Vertex AI for machine learning, and GKE for container orchestration make GCP the most powerful platform for companies competing on data. Unicrats brings GCP-certified engineers to unlock that potential for your business.

Why It Matters

Key benefits for your business

📊

BigQuery Analytics

Petabyte-scale serverless data warehousing that runs queries in seconds. Replace slow data warehouse tools with BigQuery.

🤖

AI/ML with Vertex AI

Build, train, and deploy machine learning models on Vertex AI with managed MLOps pipelines and AutoML capabilities.

🚀

GKE Container Platform

Google Kubernetes Engine — the most mature managed Kubernetes platform, running on Google's own infrastructure.

💰

Cost-Efficient Pricing

GCP's sustained use discounts and committed use contracts deliver excellent value for consistent workloads.

🔒

Data Security & Privacy

VPC Service Controls, Cloud DLP, and customer-managed encryption keys (CMEK) for enterprise data governance.

🌐

Global Network

Google's private global network with premium tier routing delivers the lowest latency for global applications.

What We Offer

Our Google Cloud services

📊

BigQuery Data Warehouse

Design and build your cloud data warehouse on BigQuery. ETL pipelines, data modelling, and Looker dashboards.

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🤖

AI/ML Engineering

Machine learning model development, Vertex AI MLOps pipelines, and AI API integration (Vision, NLP, Speech).

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🚀

GKE & Cloud Run

Container workload deployment on Google Kubernetes Engine and serverless containers with Cloud Run.

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🏗️

GCP Architecture Design

Landing zone design, network architecture, and Well-Architected-aligned GCP environments.

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⚙️

GCP DevOps & CI/CD

Cloud Build, Cloud Deploy, Artifact Registry, and Source Repositories for automated delivery pipelines.

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🚀

GCP Migration

Migrate workloads, databases, and data pipelines to GCP with Migrate to Virtual Machines and Database Migration Service.

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Our Process

How we deliver results

01

GCP Assessment

Assess your current environment, data landscape, and analytics maturity. Identify highest-value GCP use cases.

02

Architecture Design

Design GCP landing zone, data architecture, and application platform. Cost modelling and migration sequencing.

03

Implementation

Terraform-based infrastructure deployment. Data pipeline migration. ML model development and deployment.

04

Optimise & Scale

Continuous cost optimisation, performance tuning, and capability expansion as your data and AI maturity grows.

Technologies & Tools We Use

BigQueryVertex AIGKECloud RunCloud FunctionsPub/SubDataflowDataprocCloud SQLFirestoreCloud StorageCloud BuildLookerTerraformAnthos
Industries

Industries we serve

SaaS & TechnologyE-commerce & RetailMedia & StreamingHealthcare & Life SciencesFinancial ServicesGamingEducation & EdTechLogisticsManufacturingStartups
Why Unicrats

Why leading companies choose us

We are a team of 50+ specialists across SEO, development, cybersecurity, cloud, and BPO — delivering measurable outcomes for clients across the US, UK, UAE, and India.

🏅

GCP-Certified Engineers

Associate Cloud Engineer and Professional Cloud Architect certified team with hands-on GCP delivery experience.

📊

Data & AI Specialists

We are not generalist cloud consultants — our team has specific expertise in BigQuery, Vertex AI, and data engineering.

💡

Infrastructure as Code

All GCP environments deployed with Terraform. Version-controlled, reproducible, and fully documented.

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No commitment. Response within 2 hours.

FAQ

Frequently asked questions

When should we choose GCP over AWS or Azure?
GCP is the strongest choice when data analytics and machine learning are central to your business. BigQuery is significantly more cost-effective and faster than Redshift or Synapse for analytical workloads. For containerised applications, GKE is the most mature managed Kubernetes service.
How does BigQuery pricing work?
BigQuery charges for storage and queries. Storage is approximately $0.02/GB/month. Queries are $5/TB processed (or flat-rate with commitments). For most analytics workloads, BigQuery costs 60–80% less than traditional data warehouses. We design schemas and partition strategies to minimise query costs.
Can you help us build a machine learning model on GCP?
Yes. We provide end-to-end ML engineering — from data preparation in BigQuery to model training on Vertex AI, deployment to production endpoints, and MLOps monitoring. We also use Google's AutoML for use cases that do not require custom models.
How do you migrate our existing data warehouse to BigQuery?
We use the BigQuery Migration Service for automated SQL translation from Redshift, Snowflake, or Teradata. ETL pipelines are migrated to Dataflow or dbt on BigQuery. Most migrations complete in 4–8 weeks with zero disruption to reporting.
Get Started

Ready to grow your business
with Google Cloud?

Join 100+ companies in Mumbai, India & USA that trust Unicrats for results.

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