Platform Overview

Architecture Summary

Qubitz AI is a cloud-native Agentic AI platform built exclusively on Amazon Web Services (AWS). It provides an end-to-end workflow for enterprise AI adoption -- from initial business context analysis through automated use case discovery, multi-agent deep research, and production-grade application deployment.

The platform's core engine is a multi-agent orchestration system that coordinates specialized AI agents to perform web research, market analysis, structured report writing, and use case prioritisation autonomously, producing key deliverables including an AI Use Case Discovery report, Deep Research report, Executive Presentation, and AWS Architecture Diagram -- all generated in under 8 minutes.

Beyond discovery, Qubitz provides the Jamming Board -- a collaborative workspace with team ratings, threaded comments, and sentiment-driven ranking. The AI Assessment module offers standalone gap analysis, ROI modeling, and Well-Architected Framework reviews.

The Control Hub lets you design, test, and deploy multi-agent systems from your selected use cases with one-click deployment. Blueprints give you pre-built, customizable agent systems for common enterprise use cases so you can go live in minutes rather than weeks.

The Application Management dashboard provides post-deployment visibility across observability, FinOps, compliance, identity, and security.

Key Principles

Everything on AWS. The entire platform -- from the frontend to agent runtimes to storage -- runs exclusively on AWS. No third-party cloud dependencies.

Production-ready from day one. Deployed applications include authentication, memory, monitoring, security guardrails, and API access out of the box.

You own your data. Data is isolated per customer across all Qubitz-managed infrastructure.

Multi-agent by default. Every application deployed through Qubitz is a coordinated multi-agent system, not a single chatbot. Agents specialize, delegate, and collaborate to handle complex workflows.