Storywise, an AI-powered requirements management software developed by a startup in Graz, Austria, automatically transforms unstructured input from texts, PDFs, screenshots, Miro, and Figma into clear user stories up to 60 percent faster. Operating under a freemium SaaS model, the tool aims to streamline early-stage software planning and prevent costly project misunderstandings.
Software development often stalls before a single line of code is compiled. The bottleneck rarely sits in the IDE or the compiler; it lives in the messy, unstructured gap between a client’s vague ideas and concrete engineering tasks. Graz-based startup Storywise (operated by Ireo GmbH) is targeting this friction point with an artificial intelligence platform designed to ingest chaotic inputs and spit out production-ready project requirements.
According to Storywise CEO Simon Jimenez, the software converts raw material from diverse formats like PDFs, whiteboard exports from Miro, wireframes from Figma, and plain text into structured user stories. The platform promises to accelerate early-stage requirements engineering by up to 60 percent.
Architectural Flexibility and the Freemium Model
Under the hood, Storywise relies on a multi-model approach rather than binding users to a single vendor’s ecosystem. Jimenez highlights that the software features free AI model selection, eliminating vendor lock-in. This architectural choice matters in an enterprise environment where CTOs demand sovereignty over their data pipeline and refuse to route proprietary specs through a single closed LLM endpoint.
Engineers can spin up the platform in roughly ten minutes without formal onboarding sessions, maintaining granular control over the final output. Once the AI parses the unstructured data, the platform generates comprehensive project proposals and synchronizes directly with issue-tracking platforms like Jira and other standard project management tools. Monetization follows a familiar enterprise path: a freemium tier backed by a SaaS subscription model.
Solving the Costly Reality of Misunderstood Requirements
The genesis of Storywise stems from classic human communication breakdown rather than a purely academic exercise in machine learning. Jimenez points to real-world friction where clients push projects forward based on emotion and prestige rather than architectural reality, or conversely, complain about bloated documentation only to dispute features later.
“A customer asked once annoyed: ‘Why do you write so much? I just want to know the price.’ Later it was said: ‘You didn’t describe it that way’ – even though it was described,” Jimenez recounts, illustrating the exact conflict the software is engineered to eliminate. By codifying vague specifications into unambiguous user stories at the outset, the tool forces alignment before development resources are deployed.
Scaling the DACH Market and the Agentic Horizon
As of September 2026, the startup’s primary technical roadmap centers on expanding its footprint across the DACH region (Germany, Austria, and Switzerland). Beyond regional growth, engineering efforts are pouring into developing an agentic AI chat interface and integrating advanced diagramming capabilities.
The long-term ambition for the Graz team is bold: establishing Storywise as the standard tool for the early project planning phase, similar to how Jira is used in project management.
