Data & AI
Data Platforms, Generative AI & Agents on AWS
Design and scale AI solutions on AWS, when and where they make sense.
Generative AI
Build AI on AWS with control.
We help organizations move from AI experiments to production systems with governance, performance, and predictable economics in place.
Data Foundations for AI
Build governed, scalable data foundations that make AI reliable and production-ready from day one.
Cost Predictability
Align infrastructure and AI spend to real usage, enabling sustainable growth and controlled scaling.
Improve Customer Experience
Activate data across channels to deliver faster, more consistent AI-powered customer interactions.
Boost Productivity
Embed AI into workflows to reduce manual effort and speed up operational decisions.
Agentic AI Systems
Build production-grade agents that support operations with clear controls, ownership, and measurement.
Delivery
How Elevata Helps
From diagnosis to execution, we structure a clear path to delivery without losing governance.
Data Modernization & AI Foundations
We modernize AWS data environments to support production AI from day one, including secure data platforms, governance models, and architectures built for RAG, agents, and large-scale inference.
RAG & AI Application Architecture
We design and implement RAG systems and AI-driven applications on AWS, securely connecting enterprise data to foundation models with performance and economic control.
Agentic AI & MCP Implementation
We design agent-ready architectures including orchestration, tool-calling, guardrails, runtime design, and MCP integrations, enabling safe and scalable deployment of AI agents in production.
Scalable Inference on AWS
For organizations outgrowing per-token APIs, we implement capacity-based inference architectures delivering lower latency, predictable unit economics, stronger security boundaries, and up to 35% cost reduction.
Knowledge² Partnership for RAG & Agents
Through our partnership with Knowledge², we bring the K² platform to expert-agent and high-performance RAG projects on AWS, with optimized retrieval, cited answers, and deployment inside your VPC or other controlled private environments.
Why Elevata
Why Elevata?
From data architecture to production agents, we structure AI programs with operational discipline and measurable impact.
Strategic Approach
We begin with a clear assessment of your AI maturity, data landscape, and operational constraints. Our engagements define what should move to production and how, before scaling investment.
AI-First Engineering
Our team combines AWS architecture expertise with advanced AI implementation experience, including agent systems, RAG pipelines, and scalable inference.
Future-Ready Infrastructure
We design AI environments that prioritize governance, cost control, security, and scalability.
Training your teams
Elevata gives your teams the knowledge, processes, and tools to operate the systems we help build.
AWS Recognition
Validated for Generative AI on AWS
Elevata holds the AWS Generative AI Competency — a validation awarded to a select group of AWS Partners who have demonstrated deep technical expertise and a proven track record of delivering production-grade generative AI solutions on AWS.
This competency recognizes our ability to design, implement, and operate AI systems that perform in production: from data foundations and RAG to agentic architectures and scalable inference. It reflects the depth of our engineering practice and the outcomes we consistently deliver for clients.
Proof
Venture Capital Firm LATAM: Investment acceleration with AI
One of the largest venture capital firms in LATAM, whose investment workflows depend on fast access to institutional knowledge, deal history, and partner discussions.
Related AWS services
Continue through the AWS AI architecture
Use these focused pages when the next step is a narrower AWS architecture or commercial path.
Amazon Bedrock Consulting
RAG, Knowledge Bases, Guardrails, and agents on Bedrock with a production path.
Explore serviceAWS Generative AI Consulting
Strategy, architecture, and operation for GenAI on AWS with governance and cost control.
Explore serviceAI Inference Cost Optimization
Control unit cost for Bedrock, SageMaker, RAG, and production AI workloads.
Explore serviceRAG + MCP on AWS
Connect models to data, tools, and auditable workflows with AWS architecture.
Explore serviceNext step
Build AI at Scale
Let’s build useful AI on AWS with control, performance, and long-term sustainability.