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Cloud Data Intelligence

Turn your data into a strategic asset with modern cloud analytics and AI.

Overview

What We Deliver

Atayo helps organizations build modern data platforms on AWS — from data strategy and lake house architecture to AI/ML workloads and generative AI solutions. We combine deep AWS data services expertise with industry knowledge to deliver analytics and intelligence capabilities that drive real business decisions.

Most organizations aren't short on data — they're short on the ability to trust it, govern it, and act on it quickly. We solve that by building data platforms with governance, quality, and access control built in from the start. Whether it's a centralized data lake, a purpose-built warehouse, or a real-time streaming pipeline, the architecture is designed for your use cases and scale.

For organizations ready to move beyond dashboards, we build AI and machine learning solutions on Amazon Bedrock and SageMaker — from RAG-based knowledge assistants to predictive analytics pipelines — all grounded in the well-structured data foundation we help you establish.


Why Atayo

  • AWS certified architects on every engagement
  • 220+ successful cloud engagements
  • Advanced Consulting Partner status

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What's Included

Services

Data Strategy

Define a data vision, governance model, and platform roadmap that aligns your data investments with business outcomes and regulatory requirements.

Data Replatforming

Migrate legacy data warehouses and ETL pipelines to modern AWS data services — Amazon Redshift, Glue, and Lake Formation — with minimal disruption.

Data Lake/Health Lake

Design and build scalable data lakes on Amazon S3 with AWS Lake Formation governance, and deploy Amazon HealthLake for FHIR-compliant healthcare data management.

Data Warehouse & Analytics

Implement Amazon Redshift data warehouses and Amazon QuickSight dashboards that give business users self-service access to trusted, governed data.

GenAI - ML

Build generative AI and machine learning solutions using Amazon Bedrock, SageMaker, and foundation models — from RAG-based knowledge assistants to predictive analytics pipelines.

Agentic AI Solutions

Design and deploy autonomous AI agents that reason, plan, and execute multi-step workflows — from intelligent document processing and customer service automation to complex decision-support systems powered by Amazon Bedrock Agents.

Why It Matters

Key Benefits

Faster Insights

Modern lake house architectures eliminate data silos and reduce time-to-insight from weeks to hours.

Governed Data at Scale

AWS Lake Formation and data catalog tooling ensure data quality, lineage, and access control across your entire data estate.

AI-Ready Platform

A well-structured data foundation is the prerequisite for effective ML and generative AI — we build both together.

Autonomous Workflows

Agentic AI solutions automate complex, multi-step business processes — reducing manual effort and accelerating decision-making across your organization.

Industry Compliance

Healthcare-specific solutions like HealthLake ensure HIPAA-compliant data management for clinical and operational data.

Our Approach

How It Works

1

Data Discovery & Assessment

Catalog existing data sources, assess quality and governance maturity, and identify high-value use cases.

2

Platform Architecture

Design the target data platform architecture — lake house, warehouse, or streaming — based on your use cases and scale.

3

Build & Migrate

Implement the platform, migrate existing data, and build initial analytics and AI/ML workloads.

4

Operationalize & Scale

Establish DataOps practices, monitoring, and a self-service model that lets your teams build on the platform independently.

Trusted by Organizations Across Industries

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Ready to Get Started with Cloud Data Intelligence?

Schedule a consultation with an Atayo AWS architect to discuss your environment and goals.