Enterprise AI Architecture & Agentic AI Development | AWS Solutions

TechMatrix AI Systems provides enterprise AI architecture advisory and hands-on development services for organizations building GenAI, agentic AI, and governed knowledge systems on AWS. Our engagements cover the full lifecycle - from strategy and architecture assessment through implementation and production hardening - with deep expertise in Amazon Bedrock, Amazon SageMaker, Amazon Bedrock Knowledge Bases, Amazon OpenSearch, Amazon ECS, Amazon Cognito, and AWS CloudFormation. Our team brings deep AWS experience from years of delivering AI/ML and GenAI solutions at enterprise scale across Financial Services, Healthcare, Telecom, and Media - combining strategic advisory depth with hands-on implementation capability.

Many of our engagements leverage ContextIQ, our governed enterprise knowledge platform available separately on AWS Marketplace (ContextIQ Essentials - Governed Knowledge for Cowork & AI Agents). ContextIQ provides entitlement-scoped knowledge access, cited responses with source evidence, and audit-ready retrieval pipelines for AI assistants and agents using Model Context Protocol (MCP). It deploys into the customer's AWS account via CloudFormation and can serve as a production-ready foundation that we customize and extend during development engagements. Use cases include governed document Q&A for compliance teams, multi-source knowledge retrieval for financial analysts, AI-assisted research with citation requirements, regulated customer service automation, and enterprise knowledge access for internal AI agents and copilots. Engagements can also be fully custom - ContextIQ is an accelerator, not a requirement.

Services span three engagement types: Advisory (1-4 weeks) for GenAI strategy, governance assessments, and architecture reviews; Design & Build (4-12 weeks) for hands-on development of agentic AI systems, RAG pipelines, and governed knowledge architectures in your AWS account; and Production Readiness (2-4 weeks) for security hardening, compliance review, and operational preparation. We work with enterprises across Financial Services, Healthcare, Telecom, ISVs, and SaaS environments. Our team has delivered multi-agent GenAI architectures from POC to production for global enterprises, built enterprise RAG solutions that became reference architectures, and designed AI/ML and Data Processing systems based on SageMaker and related AWS services. Contact hello@contextiq.us  to scope an engagement.