Provengo provides a universal workflow mapper augmented with AI to specify, develop, and deploy complex systems with confidence. This platform streamlines requirements gathering and validation across business, engineering, and QA stakeholders. It enhances SDLC quality by visually mapping processes and verifying them against business rules and regulations, supporting methodologies like TDD and BDD.
Funding
$500K 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
In rapid application development, especially for AI-driven systems, complexity and misalignment between business requirements and technical implementation often lead to digital transformation failures. This results in missed deadlines, compromised quality, and budget overruns due to inefficient handoffs and incomplete requirements gathering.
Solution
Provengo offers a test scenario generation platform designed to automate the orchestration of business scenarios with functional requirements, thereby enhancing software testing coverage and quality. The platform streamlines handoffs between business, development, and QA teams by visually mapping processes and verifying them against business rules and regulations. By using a universal workflow mapper supercharged with AI, Provengo simplifies complex scenarios, facilitates real-time collaboration, and ensures that AI results align with the intended business logic. This enables rapid application development with increased confidence and reduced risk.
Target Audience
Provengo targets product managers, developers, and QA teams involved in rapid application development, particularly those working with AI systems in regulated environments.
Features
- Universal workflow mapper that captures complex business processes, regulations, business rules, and data.
- Real-time collaborative workspace for business, IT, engineering, and QA stakeholders.
- Parametric workflow mapping for managing complex scenarios with simple rules.
- AI-augmentation for human reviews and approvals, ensuring AI results match intent.
- Integration with Selenium, Appium, UIPath, Python, RestAPI, Excel, and HTML for broad compatibility.
- Visualization tools including PDF and dynamic views for manual tests and test readiness platforms.
- Analysis layer incorporating Gen-Script for business process, requirements, validation, and verification.