Ninox launches AI-powered low-code platform for firms

Ninox has launched an AI-powered version of its low-code platform, allowing businesses to create applications by describing them in natural language.

The release is built on a new platform architecture designed around AI, rather than adding AI tools to an existing system.

According to Ninox, users can generate a working application starting point in seconds, including tables, fields and logic. The platform is designed so generated applications can still be traced, customised and extended through scripting, giving businesses visibility into what has been created.

The launch comes as companies look for ways to cut the time and cost of building internal software while keeping closer control over spending and governance linked to AI projects. Research cited by Ninox suggests many businesses still struggle to predict AI-related costs accurately, even as interest in the technology grows.

That tension is especially sharp for organisations trying to modernise internal processes without taking on large software development projects. Low-code tools have long aimed to help non-specialists build business software, and Ninox is betting that natural-language prompts can widen that access further.

AI now runs through several stages of the platform, from initial text input and in-build assistance to features used inside completed applications. Administrators can also decide whether AI tools are allowed to access records, a point likely to matter for companies handling sensitive operational or customer data.

Alongside the AI features, Ninox has integrated email, calendar and document management into the same system as business data. This is intended to reduce the need for separate tools and bespoke links between systems.

Target market

Ninox is targeting mid-sized businesses, particularly in manufacturing, professional services, healthcare and construction. These sectors often have process requirements that do not fit standard software packages and can end up relying on spreadsheets, manual workarounds or custom-built systems.

The company argues that its approach suits businesses that need software built around existing workflows rather than adapting workflows to fit off-the-shelf products. That pitch reflects a wider trend in business software, as suppliers try to position AI as a way to shorten development cycles without removing oversight.

Frank Böhmer outlined the reasoning behind the new system.

"We didn't just retrofit; we rethought the entire development process. Now, any employee at any level who can describe an application has the power to build it. Our focus is on helping businesses to continue doing what they do more efficiently by building AI into the core architecture," said Frank Böhmer, Founder and Chief Executive Officer, Ninox.

Founded in Berlin in 2013, Ninox says its software is used by more than 250,000 users worldwide. Its customer base includes Siemens, ThyssenKrupp, Kampa and About You.

Platform shift

The launch marks a broader technical overhaul rather than a feature update. Ninox said its original technology had become a constraint as it expanded, while advances in language models created an opportunity to rebuild the product around AI-assisted application development.

Nils Henning described that shift in more detail.

"Ninox was one of the first platforms to bring rapid application development to the web and mobile devices, long before the term 'low-code' caught on. As the company grew, the original technology started holding us back. At the same time, language models made enormous progress in code generation. That's exactly what we set out to bring together. The result of these evolutions is a platform that combines AI-driven speed with the transparency of low-code," said Nils Henning, Solutions Engineer and Product Strategist, Ninox.

The emphasis on transparency and control addresses one of the central concerns for businesses adopting AI development tools. While automatically generated software can reduce manual effort, companies also need to understand how applications are structured, who can access data and how systems can be changed over time.

For software suppliers such as Ninox, the next phase of low-code competition may depend not only on how quickly applications can be generated, but also on whether businesses believe those tools can meet governance requirements and remain manageable after deployment.