Harness Scalable Intelligence with AWS

We bridge your data with the robust capabilities of Amazon Web Services. From architecting high-performance RAG solutions using Amazon Bedrock to automating complex workflows with AWS Lambda, we turn your AI potential into production-grade infrastructure. Whether you are building new models or optimizing legacy data pipelines with SageMaker, our team ensures your AWS environment is secure, scalable, and optimized for your specific business goals.

Key Expertise:

  • Generative AI: Building custom models with Amazon Bedrock (Claude, Titan, Llama).
  • Data Intelligence: Automated pipelines using AWS Glue and Athena.
  • DevOps & MLOps: AI-driven infrastructure automation and CI/CD pipelines.
  • Custom Integration: Connecting your existing application stack (React/Django) to AWS native AI services.

Architecture + planning + frameworks

AI Strategy & Architecture

We help you identify high‑value use cases and design the architecture to support them.

  • AI opportunity analysis and ROI modeling
  • Responsible AI frameworks and governance
  • Amazon Bedrock architecture and lifecycle planning
  • Security, compliance, and data-access controls

Architecture + planning + frameworks

Data Foundations for AI

AI performance depends on data quality, structure, and governance. We engineer the foundations.

  • Amazon S3, Redshift, and DynamoDB integration
  • Data governance, lineage, and access policies
  • Vectorization strategies for RAG and semantic search
  • Document intelligence and unstructured data pipelines

solutions tailored to your business

AI Development & Custom Engineering

We build AI systems that solve real operational problems — not prototypes.

  • Custom LLM application development (Python/Django/React)
  • RAG (Retrieval-Augmented Generation) pipeline implementation
  • Vector database design and optimization
  • API development for seamless AI model integration

Enterprise platforms + workflows

Integration & Platform Adoption

Operationalize AI across your existing tools and processes.

  • Cloud-native data pipeline modernization
  • Integration of AWS AI services with legacy and M365 systems
  • Team enablement and platform best practices
  • Performance tuning for high-throughput AI workloads

build + deploy + operate + optimize

Enterprise Deployment & MLOps

Move from proof‑of‑concept to production with confidence.

  • Automated CI/CD pipelines for AI workloads
  • SageMaker model training and deployment orchestration
  • Real-time model monitoring and automated retraining
  • Infrastructure-as-Code (IaC) for consistent, scalable deployments

Why AWS AI?

AWS provides the most flexible, modular, and expansive AI ecosystem for high-scale production environments:

  • Amazon Bedrock: A fully managed service that offers a choice of high-performing foundation models via a single API, allowing you to swap models as technology evolves.
  • Scalable Infrastructure: Unmatched compute elasticity through AWS Lambda and EC2, ensuring your AI agents perform optimally under any load.
  • SageMaker: An end-to-end platform for building, training, and deploying machine learning models with industry-leading MLOps capabilities.
  • Integration: Seamless connectivity with your existing React/Django applications, allowing for custom, highly responsive AI-driven user interfaces.

Together, these services create a secure, governed platform for building production‑ready AI systems.

Accelerators & Workshops

  • Bedrock RAG Accelerator: Rapidly deploy a production-ready retrieval system using your proprietary data.
  • AI Architecture Workshop: Define your cloud-native roadmap and identify high-impact AI use cases on AWS.
  • SageMaker MLOps Bootcamp: Establish robust pipelines for model training, monitoring, and automated deployment.
  • AWS Security & Compliance Workshop: Implement responsible AI guardrails and secure data-access controls for your AWS workload.

Build AI That Works in the Real World

If you need help with AI strategy, governance, development, integration, or enterprise rollout, Frogfish Data provides the engineering expertise to make AWS AI work for your business — securely, responsibly, and at scale.

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