Draft:AutoExplore
| Submission declined on 15 December 2025 by DoubleGrazing (talk). This submission appears to read more like an advertisement than an entry in an encyclopedia. Encyclopedia articles need to be written from a neutral point of view, and should refer to a range of independent, reliable, published sources, not just to materials produced by the creator of the subject being discussed. This is important so that the article can meet Wikipedia's verifiability policy and the notability of the subject can be established. If you still feel that this subject is worthy of inclusion in Wikipedia, please rewrite your submission to comply with these policies.
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| Submission declined on 9 December 2025 by Rambley (talk). This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are: Declined by Rambley 37 days ago.
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Comment: Zero evidence of notability per WP:NCORP. DoubleGrazing (talk) 08:40, 15 December 2025 (UTC)
- Comment: In accordance with the Wikimedia Foundation's Terms of Use, I disclose that I have been paid by my employer for my contributions to this article. SampoKivisto (talk) 18:46, 9 December 2025 (UTC)
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| Company type | Joint stock company (Oy) |
|---|---|
| Founded | 2025[1] |
| Headquarters | Lappeenranta (registered as AutoExplore Oy)[2] , Finland |
| Products | Autonomous software testing, Web application testing, Security scanning, Accessibility testing |
| Website | www |
AutoExplore is a Finnish company offering autonomous, AI-driven software testing solution for web applications. The AI agent autonomously explores applications through a real browser - clicking links, filling forms and traversing user flows — to catch errors, security vulnerabilities, accessibility problems and other quality-assurance issues before deployment.
History
[edit]The origins of AutoExplore trace back to founder Sampo Kivistö’s earlier work on an internal “application crawler” testing tool. This early prototype was designed to automatically navigate through a web application’s interface, interacting with buttons, links and forms in order to detect defects. While the tool proved highly effective within its limited scope, it was tightly tailored to specific applications and could not be adapted easily for broader or commercial use. The experience nonetheless demonstrated the value of automated exploration and highlighted the potential for a more general-purpose solution.[3]
AI boom and foundation of AutoExplore
[edit]The rapid progress in artificial intelligence, large language models and machine-learning-based agents in the early 2020s provided the technological inflection point needed to revisit the idea. These advancements made it possible to build an autonomous testing system that could reason about user interfaces, adapt to new layouts and behaviours, and generalize across different types of web applications.
Recognizing this opportunity, the founders began development of AutoExplore, aiming to create a tool that combined modern AI techniques with practical software-quality workflows. The goal was a platform that could operate continuously, behave like a real user, and uncover subtle issues that manual testers or scripted automation might overlook.
- Autonomous exploration — Agent imitates user behaviour: clicking links, filling forms, navigating through web app features.
- Automated defect detection — catches JavaScript exceptions, failed requests, UI-rendering issues and other runtime errors without predefined test cases.
- Security scanning — Recent updates add integrated vulnerability analysis (e.g. detecting insecure cookies, missing headers, weak site isolation) alongside normal exploration.
- Accessibility testing — Helps assess compliance with accessibility standards (e.g. in context of EU laws/regulations) by flagging UI and markup issues.
- Reporting — Issues are grouped into categories; each finding includes a detailed timeline, screenshots, network trace, and step-by-step reproduction instructions
- Parallel & multi-environment testing — Support for running multiple agents in parallel across different versions (e.g. production, staging) to speed up testing and cover multiple environments.
Use cases
[edit]AutoExplore is suited for web development teams and organizations that:
- Deploy frequent updates and need continuous testing coverage without writing extensive test scripts.
- Want to improve quality assurance by catching runtime errors, security issues or accessibility problems early.
- Need a scalable, automated layer of testing to supplement manual and scripted tests, especially for complex apps with many flows.
References
[edit]- ^ "Company". AutoExplore. Retrieved 2025-12-09.
- ^ "AutoExplore Oy – IT-konsultointi, IT-palvelut". Fonecta. Retrieved 2025-12-09.
- ^ https://www.autoexplore.ai/company
- ^ https://www.youtube.com/watch?v=TEM3yxq-OEM
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