Qubitz Workflow

Use Case Intelligence

Multi-agentic research engine identifies, evaluates, and prioritises AI use cases by business value and feasibility. The system crawls your company website, analyzes uploaded documents, and gathers market intelligence to produce prioritized, actionable AI opportunities.

System Architecture & Optimization

Guided multi-agent system design with configurable agent roles, orchestration patterns, and data flows. Architects and domain experts refine, validate, and optimise the agentic system before any code is generated. Natural language modifications allow real-time adjustments to agent behaviors, models, and tool configurations.

Multi-Agent Orchestration

The AI architect generates a multi-agent system tailored to your specific use case. The generated system includes specialized agents designed specifically for your use case, each with defined roles, tools, and capabilities, plus platform agents that manage overall infrastructure, security, and observability across your system. Orchestration patterns define how agents communicate and collaborate, with handoff patterns enabling seamless transitions between agents.

Application Feature Testbed

Users test, update, delete, or onboard application features in a live testbed environment. Full customer control over agent configurations, tool integrations, and knowledge base connections. Changes take effect immediately without redeployment for prompt, model, or tool modifications.

Full-Stack Generation & Deployment

Application generator agent automatically deploys across Amazon Bedrock, AgentCore, SageMaker, Amplify, and Lambda. One-click deployment provisions infrastructure, configures memory systems, creates API endpoints, and enables monitoring. Your agents go live with built-in conversational memory, real-time health monitoring, and secure API access.