Machine Learning

Group 1
Frame
Machine Learning

Build Smarter Systems with Scalable Machine Learning

What’s Included in Machine Learning Services

AWS support for startups and SMBs : cloudperx
Model Selection & Training
Choose and train the right ML model for your specific use case.
MLOps & Automation & Scalability
Automate the entire ML lifecycle for faster, reliable delivery.
laptop
Business Integration & Insights
Align ML outcomes with business goals and generate insights from predictions.
Data Preparation & Feature Engineering
We clean, transform, and structure data to boost accuracy and readiness.
Model Deployment & Monitoring
Deploy models at scale and monitor them in real-time to ensure stable results.
real time strategy
Security & Compliance Integration
Protect sensitive data and ensure your ML workflows meet regulatory standards.
Smarter Models. Lower Costs. Faster Outcomes.

Why CloudPerx for Machine Learning?

ChatGPT Image May 8 2025 04 52 38 PM 1

AWS-Native Expertise

We specialize in AWS tools like SageMaker, Bedrock, and Lambda for secure, scalable ML. Our team builds cloud-native pipelines optimized for speed and flexibility. You get deep technical experience backed by real AWS best practices.

AWS support for startups and SMBs : cloudperx

Cost-Efficient Architecture

We use spot instances, serverless inference, and auto-scaling to cut unnecessary costs. Every model is architected for maximum ROI with minimal waste. Our solutions follow AWS Cost Optimization Pillar guidelines by design.

AWS support for startups and SMBs : cloudperx

Built for Compliance & Security

Security is built in at every layer using IAM, VPC, KMS, and audit logging. We align your workloads with AWS Well-Architected security standards. Ideal for industries with strict data protection and compliance needs.

AWS support for startups and SMBs : cloudperx

End-to-End Delivery

We manage the full ML lifecycle—from data prep to production monitoring. Automation and best practices reduce your time-to-market. You get a future-proof ML system without the management overhead.

ask question

Your Machine Learning Questions, Answered

What is Machine Learning and how does it help my business?
Machine Learning uses algorithms to identify patterns in your data and make predictions or decisions without hardcoded rules. It helps automate tasks, improve accuracy, and unlock data-driven insights that drive smarter business outcomes.
Which AWS services do you use for ML projects?
We primarily use Amazon SageMaker for model development and deployment, AWS Lambda for serverless integration, and Amazon Bedrock for working with foundation models. All services are selected to match your scalability, cost, and performance needs.
Is Machine Learning expensive to run on AWS?
Not with us. We follow AWS cost optimization practices—like using spot instances for training, serverless endpoints for deployment, and AutoML to reduce manual tuning. You only pay for what you use.
How long does it take to get an ML solution live?
Depending on your use case, MVPs can be launched in a few weeks. We use automated pipelines and prebuilt AWS services to accelerate delivery while maintaining quality and compliance.

Seamless AWS migration and optimization for your growing business.

CloudPerx supports SMBs with seamless AWS migration, cost-effective optimization, and enterprise-grade security—all tailored to your needs.
Start with Free AWS POC
Get in touch

Request Your Free Consultation

Interested in our services?

news and blog

the common steps for broad band connection