Cloud202 launches Qubitz AI for cheaper business apps

Cloud202 has launched Qubitz AI, an agentic AI platform for building production-ready business applications that it says can cut development costs by up to 80%.

Created by former Amazon Web Services specialists Lucky Sharma and Naman Gupta, the platform is aimed at organisations that have tested artificial intelligence ideas but struggled to turn them into deployable systems with governance and compliance controls in place.

Qubitz AI starts by identifying business problems, then generates requirements documents, multi-agent architectures, workflows and deployment models. It also produces a full-stack application, along with testing and a control layer covering areas such as GDPR compliance, observability and responsible AI.

The launch comes as many companies experiment with tools that can quickly generate AI applications but find it harder to move prototypes into production. Cloud202 argues that the gap between experimentation and deployment remains one of the main barriers to wider adoption in larger organisations.

Sharma and Gupta developed the product after seeing clients spend large sums on AI consultancy and proof-of-concept work without reaching deployment. Sharma said that, in previous roles at Accenture and AWS, he saw businesses spend between £350,000 and £500,000 on consultancy before a single application went live.

One early user is Halved.io, a learning support system for students. Its Founder, Andy James, had previously commissioned another supplier to develop an application, but the resulting product did not meet the company's needs.

Cloud202 rebuilt the Halved.io platform using Qubitz AI, adding responsible AI controls, security measures and GDPR compliance for about 20% of the earlier cost. The work took four weeks, compared with an estimated six months under a more conventional development and compliance process.

Gupta described the project as an example of the platform's intended use.

"Halved.io needed to move quickly to begin trials with schools before the summer break," said Naman Gupta, Founder and Chief Executive Officer, Cloud202. "Using Qubitz AI, we were able to accelerate development, implement responsible AI safeguards, achieve GDPR compliance and prepare the platform for deployment in a fraction of the time and cost typically associated with these projects."

Production focus

A built-in test bed checks system outputs against an organisation's own expectations before launch. The aim is to ensure applications are assessed against business requirements, rather than only on whether a demonstration performs well.

Qubitz AI also gives customers the option to deploy applications into their own AWS environments or start in Cloud202's environment and migrate later. Code is held in the customer's private GitHub repository, with security checks running through the pipeline, and customers can modify their applications through the Qubitz interface.

Another customer cited by Cloud202 is SphereTrax, a music discovery company that has worked on projects including Harry Potter and Frozen and with artists such as Michael Bublé and Bruno Mars. Using Qubitz AI, the company assessed possible AI use cases before selecting one focused on music and sound-effect discovery by emotion.

Cloud202 said the resulting concept, called Search With Feeling, uses an AI tagging engine to analyse thousands of soundtracks and classify them by emotional characteristics, genre and similarity. The project illustrates how the platform can be used not only to generate software but also to help prioritise which AI ideas to pursue.

Sharma said too much of the market remains stuck at the prototype stage.

"Too much of the AI market remains focused on experimentation," said Lucky Sharma. "Many organisations are generating prototypes, consuming tokens and building MVPs without ever reaching production. We wanted to create a platform focused on meaningful AI solutions that solve real business problems and can be deployed securely at scale.

"And when your next enterprise customer asks about your AI governance, 'we use ChatGPT' is not an answer. Governance, observability and compliance have to be the operating layer of an agentic system, not a retrofit."

Blueprint library

The platform includes a library of industry blueprints for areas such as recruitment screening, document processing, customer support automation, personalisation and recommendation engines. These templates combine pre-built architectures, deployment patterns and sector-specific practices to reduce the amount of fresh development required for each new project.

Cloud202 is positioning Qubitz AI in a market that is becoming more crowded with application-building tools, while trying to distinguish it through governance, testing and deployment features. Its founders are betting that companies will spend less on AI experimentation if they can tie projects more closely to specific business problems and keep control of their data and cloud environments.

A key part of that approach is what Cloud202 calls a bring-your-own-cloud model, which lets organisations move applications into their own AWS estates while retaining control over security and compliance requirements.