Cloud202 launches Qubitz AI to speed enterprise AI from idea to production

Cloud202 has launched Qubitz AI, a platform built by former AWS specialists to help organisations move from AI concepts to production-ready applications with governance, compliance and deployment built in. The company says the system can cut costs and delivery time by up to 80%, with early use cases in learning support and music discovery. Why it matters: - Enterprise AI projects often stall between prototype and production. - Cloud202 is betting that a single workflow for ideation, requirements, architecture, testing, governance and deployment can remove that bottleneck. - The company says Qubitz AI can reduce costs by up to 80% and deliver production-ready applications in weeks. What happened: - Cloud202 launched Qubitz AI in London on June 13, 2026. - The platform is designed to help organisations move from AI possibility to deployment and governance through one integrated workflow. - Qubitz AI was built by former Amazon Web Services specialists Lucky Sharma and Naman Gupta. - Cloud202 also opened access to a free one-month subscription for the first 1,000 qualifying organisations, plus 5 million Qubitz AI tokens. The details: - Qubitz AI starts by identifying business problems likely to produce return on investment, rather than starting with a model or tech stack. - The platform then generates requirements documents, multi-agent architectures, workflows and deployment models. - A built-in Test Bed checks outputs against an organisation’s business expectations before launch. - Live applications are managed through controls covering GDPR compliance, penetration testing, AWS Well-Architected Framework reviews, FinOps, observability and Responsible AI. - Cloud202 says each application is built with the customer’s code in a private GitHub repository, with security plugins and checks running in the pipeline. - Customers can modify their application through the Qubitz app. - The platform supports Bring Your Own Cloud deployment into a customer’s AWS environment in a couple of hours. - Organisations can also start on Qubitz’s AWS environment and migrate later. - Available industry blueprints include AI-powered recruitment screening, intelligent document processing, customer support automation, hyper-personalisation and recommendation engines. - The free offer usually costs $999 and is available at qubitz.ai. - Journalists can register at qubitz.ai or contact hello@cloud202.com. Between the lines: - The launch reflects a broader shift in enterprise AI from experimentation toward governed, operational systems. - Sharma said many organisations build prototypes and MVPs without ever reaching production. - Sharma also said governance, observability and compliance need to be part of the operating layer, not added later. - Cloud202 says the platform was created after repeated failures in consulting and proof-of-concept projects that never delivered meaningful business impact. - During his time at Accenture and AWS, Sharma saw companies spend between £350,000 and £500,000 on consultancy before any application was deployed. What’s next: - Cloud202 is positioning Qubitz AI as a faster path for companies that want to test AI ideas, prove business value and deploy securely at scale. - Early customer examples suggest the platform will focus on use cases that need both rapid delivery and compliance-heavy controls. - Halved.io used Qubitz AI to refresh an always-available learning support system and prepare it for school trials before the summer break. - Cloud202 says that project added responsible AI controls, security measures and GDPR compliance at about 20% of the cost of the earlier approach. - The company says the Halved.io work took four weeks, versus an estimated six months using traditional development and compliance processes. - SphereTrax used Qubitz AI to assess AI opportunities and build Search With Feeling, an emotion-based search engine for music and sound effects. - Qubitz AI also helped create an AI tagging engine that can analyse thousands of soundtracks and categorise them by emotional characteristics, genre and similarity. The bottom line: - Cloud202 wants Qubitz AI to become the operating layer for enterprise AI: faster than traditional development, but with security, compliance and governance built in from the start.