Build Faster, Scale Smarter, and Operate Securely with NeoITO’s Cloud Expertise
NeoITO delivers cloud infrastructure that’s engineered for agility, AI-readiness, and enterprise-grade compliance. Whether it’s a greenfield deployment or migration from legacy systems, we handle everything from architecture to observability.
Why Enterprises Should Choose NeoITO for Cloud Platforms
200+ cloud-powered digital products launched
Official partnerships with AWS, Snowflake, and Databricks
Multi-cloud, hybrid, and edge cloud experience
Delivered 33–50% infra cost savings through serverless + auto-scaling
Built HIPAA, SOC2, and GDPR-compliant systems
90% of clients in the US — across healthcare, SaaS, finance, and retail
What We Offer
- Cloud Strategy & Consulting
- Infrastructure Engineering
- Cloud Data Platforms
- DevOps & Automation
Cloud readiness and TCO assessments
Vendor-neutral platform selection
Architecture blueprints for AI, SaaS, and data-driven apps
Serverless compute (AWS Lambda, Cloud Functions, Azure Functions)
Microservices, Docker, Kubernetes orchestration
Multi-region deployment with VPC design and autoscaling
Snowflake and Databricks integration
Data lakehouse setup, batch + streaming ingestion
Model hosting, training pipelines, and data lake governance
CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins
IaC using Terraform, Pulumi, AWS CDK
Observability stacks: Prometheus, Grafana, Datadog
Cloud readiness and TCO assessments
Vendor-neutral platform selection
Architecture blueprints for AI, SaaS, and data-driven apps
Serverless compute (AWS Lambda, Cloud Functions, Azure Functions)
Microservices, Docker, Kubernetes orchestration
Multi-region deployment with VPC design and autoscaling
Snowflake and Databricks integration
Data lakehouse setup, batch + streaming ingestion
Model hosting, training pipelines, and data lake governance
CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins
IaC using Terraform, Pulumi, AWS CDK
Observability stacks: Prometheus, Grafana, Datadog
Technologies
Case Studies
→ Migrated to serverless AWS stack (Lambda + API Gateway + S3)
→ Reduced infrastructure costs by 33%
→ Enabled high availability across 11 US states with zero downtime
→ Built multi-tenant analytics infra on AWS + Redshift + Snowflake
→ Sub-second campaign insights across OTT, mobile, and CTV
→ Fully GDPR-compliant data ingestion and reporting
→ Built serverless data pipeline using AWS Lambda + Kinesis
→ <1s latency for data updates under peak loads
→ Auto-scalable with 0 maintenance burden
→ HIPAA-compliant architecture for voice-based AI diagnosis
→ Scalable hosting of AI models using GCP Functions and Firestore
→ Secure PHI storage with automated access logging
→ Migrated to serverless AWS stack (Lambda + API Gateway + S3)
→ Reduced infrastructure costs by 33%
→ Enabled high availability across 11 US states with zero downtime
→ Built multi-tenant analytics infra on AWS + Redshift + Snowflake
→ Sub-second campaign insights across OTT, mobile, and CTV
→ Fully GDPR-compliant data ingestion and reporting
→ Built serverless data pipeline using AWS Lambda + Kinesis
→ <1s latency for data updates under peak loads
→ Auto-scalable with 0 maintenance burden
→ HIPAA-compliant architecture for voice-based AI diagnosis
→ Scalable hosting of AI models using GCP Functions and Firestore
→ Secure PHI storage with automated access logging
→ Migrated to serverless AWS stack (Lambda + API Gateway + S3)
→ Reduced infrastructure costs by 33%
→ Enabled high availability across 11 US states with zero downtime
→ Built multi-tenant analytics infra on AWS + Redshift + Snowflake
→ Sub-second campaign insights across OTT, mobile, and CTV
→ Fully GDPR-compliant data ingestion and reporting
→ Built serverless data pipeline using AWS Lambda + Kinesis
→ <1s latency for data updates under peak loads
→ Auto-scalable with 0 maintenance burden
→ HIPAA-compliant architecture for voice-based AI diagnosis
→ Scalable hosting of AI models using GCP Functions and Firestore
→ Secure PHI storage with automated access logging
→ Migrated to serverless AWS stack (Lambda + API Gateway + S3)
→ Reduced infrastructure costs by 33%
→ Enabled high availability across 11 US states with zero downtime
→ Built multi-tenant analytics infra on AWS + Redshift + Snowflake
→ Sub-second campaign insights across OTT, mobile, and CTV
→ Fully GDPR-compliant data ingestion and reporting
→ Built serverless data pipeline using AWS Lambda + Kinesis
→ <1s latency for data updates under peak loads
→ Auto-scalable with 0 maintenance burden
→ HIPAA-compliant architecture for voice-based AI diagnosis
→ Scalable hosting of AI models using GCP Functions and Firestore
→ Secure PHI storage with automated access logging
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Our Comprehensive Process
Cloud readiness audit, cost modeling, Define performance, scalability, and security requirements
Microservices or serverless design, Data lakehouse architecture (if needed), Compliance planning and environment setup
IaC with Terraform or CDK, CI/CD pipeline setup, Observability integration
Cost-performance tuning (spot instances, autoscaling), Governance setup (RBAC, backups, logging), AI/ML service readiness or live model deployment
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