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Big Data Cloud Computing DevOps AI / ML Data Science

Build Faster.
Scale Smarter.
Operate Better.

RadiCorp engineers intelligent, scalable & cloud-native digital systems. We partner with enterprises across the full lifecycle — from petabyte-scale Big Data platforms to production AI/ML and DevOps automation.

50+
Enterprise Clients
120+
Projects Delivered
8+
Years Experience
99%
Client Satisfaction

End-to-End Data & Cloud Engineering

From petabyte-scale data platforms to AI-powered systems — we deliver working solutions, not just consulting slides.

Big Data Engineering

Design and build high-performance data lakes, lakehouses, and real-time streaming pipelines using Hadoop, Spark, Kafka, Hive, and Flink ecosystems.

HadoopApache SparkKafkaHiveData Lake
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Cloud Computing

Cloud-native architecture, migration strategy, and cost optimization across AWS, Azure, and GCP with strong landing zone design and FinOps practices.

AWSAzureGCPFinOpsMulti-Cloud
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DevOps & Platform Engineering

CI/CD pipelines, infrastructure as code, Kubernetes orchestration, and SRE practices that reduce deployment risk and accelerate delivery velocity.

KubernetesTerraformJenkinsGitHub ActionsAnsible
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Data Science & Analytics

Turn raw data into actionable business intelligence with EDA, predictive modeling, KPI dashboards, and custom analytics that drive real decisions.

Predictive AnalyticsBI DashboardsPythonTableau
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AI & Machine Learning

Production-ready ML systems from use-case discovery to MLOps pipelines, model monitoring, retraining strategies, and responsible AI governance.

MLOpsTensorFlowPyTorchLLMGenAI
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Resource Augmentation

On-demand Big Data, Cloud, and AI engineers available for short-term, long-term, or project-based engagements that integrate with your team.

Team AugmentationContractRemoteEmbedded
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Our Core Tech Stack

We work with industry-leading technologies to deliver production-grade solutions at enterprise scale.

Apache Hadoop
Apache Spark
Apache Kafka
Apache Hive
Apache Flink
Apache NiFi
Amazon AWS
Microsoft Azure
Google Cloud
Kubernetes
Docker
Terraform
Jenkins
GitHub Actions
Ansible
TensorFlow
PyTorch
MLflow
Python
Snowflake
Databricks
Grafana

Practitioner-Led.
Outcome-Driven.

We don't sell tools or seat licenses. We deliver working systems, measurable business impact, and long-term reliability — built by engineers who've done it in production environments.

Practitioner-Led Delivery
Our team is made of architects and engineers who build real production systems — not slide-deck consultants.
Vendor-Agnostic Architecture
We recommend the right tool for your use case, not the tool we're paid to sell. Open-source first where it makes sense.
Security & Scalability by Design
Every system is designed for reliability, security, and cost efficiency from day one — not as an afterthought.
Transparent Communication
No surprises. Clear communication at every stage — scope, progress, risks, and outcomes in plain language.
Modern Data Architecture
Cloud Infrastructure Layer (AWS / Azure / GCP)
Data Platform Layer (Lake / Lakehouse / DWH)
Processing & Analytics (Spark / Kafka / dbt)
AI / ML & Intelligence Layer (MLOps)
Production-Grade · Secure by Default · Infinitely Scalable

From Strategy to Production

A proven delivery process that ensures alignment, quality, and predictable outcomes every time.

01

Discovery & Assessment

Deep-dive into your systems, data landscape, goals, and constraints. No assumptions — we listen first.

02

Architecture Design

Scalable, secure, vendor-agnostic solution design — production-ready and aligned to your budget and roadmap.

03

Agile Implementation

Iterative delivery with regular milestones, demos, and tight feedback loops. You always see real progress.

04

Testing & Validation

Rigorous performance testing, security audits, and quality validation before every production release.

05

Production Rollout

Controlled, zero-downtime deployments with comprehensive monitoring and tested rollback procedures.

06

Support & Optimization

Post-go-live monitoring, cost optimization, and continuous improvement. We don't disappear after launch.

What Our Clients Say

"

RadiCorp rebuilt our data infrastructure on AWS from scratch. Processing time went from 6 hours to 18 minutes. The team is truly practitioner-grade — they've done this before.

RS
Rahul Sharma
VP Engineering, FinTech Startup
"

Their DevOps team set up our entire Kubernetes-based CI/CD pipeline. We went from weekly releases to multiple deployments per day with zero downtime migrations.

PM
Priya Mehta
Director, E-Commerce Platform
"

The ML recommendation engine RadiCorp built increased our revenue by 23%. They delivered exactly what they promised — on time, on budget, with great documentation.

AK
Arjun Kumar
Director of Data, Retail Chain

Let's Build Something That Scales

Whether you're modernizing legacy systems, building a new data platform, or scaling AI initiatives — RadiCorp is ready to partner with you.