Technology

    AWS Development

    Cloud infrastructure for AI at scale

    Discuss Your Project View Case Studies
    25+AWS Projects
    99.99%Uptime Target
    40%Cost Savings
    Multi-AZArchitecture

    Why We Use AWS

    We architect and deploy AI products on AWS — from serverless Lambda functions to GPU-powered SageMaker endpoints. Scalable, secure, and cost-optimized cloud infrastructure for AI workloads.

    AWS has the broadest service catalog for AI: SageMaker for model hosting, Bedrock for managed LLMs, Lambda for serverless, and enterprise-grade security and compliance certifications.

    What We Build With AWS

    SageMaker

    End-to-end ML lifecycle: training, hyperparameter tuning, model hosting, and A/B testing with managed infrastructure and auto-scaling.

    Serverless AI

    Lambda + API Gateway for cost-effective AI APIs that scale to zero. Pay only for compute you use, with sub-second cold starts.

    Data Infrastructure

    S3 data lakes, RDS/Aurora databases, ElastiCache, and Kinesis for real-time data processing powering AI applications.

    Security & Compliance

    VPC isolation, IAM policies, KMS encryption, and compliance with SOC 2, HIPAA, GDPR for regulated AI workloads.

    Use Cases

    AI model deployment with SageMaker
    Serverless AI APIs with Lambda
    Scalable data lakes with S3 & Athena
    Real-time inference endpoints
    GPU compute for model training
    CI/CD pipelines for ML models
    Cost-optimized auto-scaling
    Multi-region AI deployments

    Related Services

    Frequently Asked Questions

    AWS vs Google Cloud for AI?
    AWS for broader enterprise ecosystem and SageMaker maturity. GCP for TensorFlow-native workloads and BigQuery. We work with both but default to AWS for most projects.
    How do you optimize AWS costs for AI?
    Spot instances for training, auto-scaling inference endpoints, reserved capacity for steady workloads, and Lambda for bursty traffic. Typical savings: 30-60%.
    Can you migrate our AI workloads to AWS?
    Yes. We handle full migration including model re-deployment, data transfer, CI/CD setup, and monitoring — with zero downtime strategies.

    Ready to build with AWS?

    Let's discuss how AWS fits into your AI product. Book a free 30-minute call with our founder.

    Book a Free Call Contact Us

    Other Technologies We Use

    PythonLangChainReactOpenAIn8n

    🍪 Cookie Settings

    We use cookies for analytics and to improve your experience. No cookies are set until you explicitly accept. Read our Privacy Policy.