Built for production. Not demos.
LangGraph Multi-Step Workflows
Complex, stateful AI workflows with branching logic, human-in-the-loop checkpoints, and automatic retry handling.
Amazon Bedrock Models
Claude 4.x (Opus 4.6, Sonnet 4.6) and Mythos preview, Titan, Llama 3, and Mistral — all running inside your own AWS account. Your data never leaves your environment.
Knowledge Bases
Connect your internal documents, policies, and data to your AI agents via Amazon Bedrock Knowledge Bases and RAG pipelines.
MCP Integrations
Model Context Protocol integrations with your existing tools — Jira, Salesforce, ServiceNow, and custom internal APIs.
Secure by Design
All agents run inside your VPC. IAM roles, encryption at rest and in transit, and full CloudTrail audit logging.
Observability & Monitoring
Full visibility into agent runs, token usage, latency, and errors via CloudWatch dashboards and custom metrics.
Runs entirely inside your AWS account.
Your data stays in your VPC.
AI agents we've shipped to production.
“Why not just use Bedrock Agents?”
AWS DevOps Agent (now GA) and the new Agent Registry are powerful building blocks. GenCortex™ adds the full production layer on top — governance, multi-step orchestration, business logic, and a complete handover: