Qlerify offers an AI‑enhanced visual modeling platform that lets product owners, analysts, and development teams collaboratively map business processes and automatically generate detailed domain models. The platform then uses these models to produce ready‑to‑run code, tests, APIs and documentation, while syncing with tools like Jira, Azure DevOps and GitHub to reduce manual effort and technical debt.
Funding
$330K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations often struggle to translate complex business processes into reliable software specifications, leading to lengthy development cycles, misaligned requirements, and high technical debt. Collaboration across stakeholders is slow, and manual modeling tools are cumbersome, causing delays and errors in modernizing legacy systems or building new applications.
Solution
Qlerify provides an AI‑enhanced visual modeling platform that automates the creation of detailed domain models from business knowledge and domain events. Users collaboratively map processes in real time, with the system suggesting reads, writes, commands, entities, and bounded contexts to ensure modular architecture. The generated domain model serves as a blueprint for AI‑driven code generation, producing front‑end, back‑end, unit tests, API specifications, and documentation. The platform supports event‑storming, domain‑driven design, event modeling, and user‑story mapping, enabling teams to iterate from idea to implementation within hours. Integrated export options and integrations with Jira, Azure DevOps, GitHub, and CI/CD pipelines keep the model synchronized with code and project management tools, reducing manual effort and technical debt.
Target Audience
Primary users are product owners, business analysts, architects, and development teams in enterprises and startups who need to transform business processes into maintainable software systems.
Features
- Real‑time collaborative process mapping with AI‑suggested domain events and workflow steps
- Automatic generation of comprehensive domain models, including reads, writes, commands, entities, and bounded contexts
- AI‑driven source code generation for microservices, event‑driven, or serverless architectures, including unit tests and Swagger documentation
- Support for Event Storming, Domain‑Driven Design, Event Modeling, and User Story Mapping within a single visual canvas
- Bidirectional synchronization between domain models and generated code, with versioned audit trails for compliance
- Export of models and artifacts in CSV, PDF, JSON, and direct integration with Jira, Azure DevOps, GitHub, and custom APIs
- Built‑in security and GDPR compliance, with role‑based access control and SSO (Enterprise tier)
- Hybrid modeling that combines natural‑language input with visual diagrams for rapid specification creation