Softr has launched an AI-native, no-code platform for building business software designed for non-technical teams.
This update introduces AI Co-Builder, which allows users to write applications in plain language and receive a working system complete with database, user interface, permissions, and business logic. This software is intended for everyday business use, not early stage mockups.
The Berlin-based company has been operating in the no-code software market for the past five years. Since its founding in 2020, it has grown to more than 1 million construction companies and 7,000 organizations, including Netflix, Google, Stripe, UPS, and Clay.
prototype gap
Softr is positioning its new platform around a common problem with AI software tools: the gap between a simple demo and a system that can support real-world production. Many AI app builders claim that while they can generate surface-level output from prompts, they leave users to process the code, fix errors, and restructure workflows before using the software in production.
This distinction is most important for internal tools and customer-facing systems that rely on live data, defined user roles, and access controls. In these cases, companies often need software that works consistently, connects with existing systems, and can be maintained without relying on developers for every change.
The platform includes authentication, user roles, permissions, and hosting out of the box. It also uses a visual database and supports custom workflows and integration with other tools, making it easier for non-technical teams to maintain applications over time.
broader push
Teams are already using Softr’s platform for client portals, customer relationship management systems, corporate intranets, and other operational tools across a variety of industries. The latest efforts extend that model by using AI to automatically assemble many of the underlying structures.
In effect, a user can request a specific business tool and the platform will generate the core elements needed to run it. Softr said the resulting applications will be connected to live data and ready for use by staff, customers and partners, depending on the use case.
This approach reflects broader changes in business software as vendors seek to appeal directly to employees outside of the IT department. The goal is to enable operations, finance, human resources, and client teams to build software for specific processes without waiting for a formal development cycle.
There are limits to that ambition across markets, especially where AI-generated products still require technological intervention before deployment. Softr’s argument is that for no-code tools to move beyond experimentation, security, governance, and reliability need to be addressed.
“AI has brought the idea that you can build something yourself into the mainstream for millions of people for the first time, but most AI app creators are stuck at the shiny demo stage,” said Mariam Hakobian, co-founder and CEO of Softr.
“We built Softr to solve the hard parts of building software. All business apps, from internal HR portals to client-facing tools, run on real data, users, permissions, and security. They always have to work. Our goal has always been to help non-technical teams build the customization they need without relying on developers. “This evolution brings that vision to life: software that helps you build and run mission-critical systems that power your business operations.”
The company also says it has a profitable foundation and is now combining it with AI to expand its offerings. This is notable in a market where many software groups are under pressure to demonstrate that their AI capabilities will lead to ongoing commercial use rather than a passing interest.
Softr did not disclose pricing or financial details at launch. This new product is positioned as part of a broader effort to enable business users to create software that can support real-world operations from the beginning, rather than after additional engineering work.
“The future of software will not be written, it will be created,” Hakobian said.
“The next generation of software will be achievable for everyone to build, not because we’ve made the code simpler, but because we’ve made it easier to write and make it easier to build difficult things,” she added.
