AskUI
Sales-led computer-use automation for testing desktop, web, mobile, and hardware interfaces
You are leaving botconomy for the provider’s website. Link verified 9/23/2026.
What this product helps you do
AskUI is an agentic UI-testing platform built around computer-use agents rather than DOM selectors or recorded click paths. Teams write tests and expected results in Markdown, run them in AskUI Desktop or headlessly through the CLI, and use AgentOS to expose keyboard, mouse, and screen access across Windows, macOS, Linux, Android, browsers, and connected hardware. AskUI sells Team and Enterprise plans per organization after scoping the target systems, concurrent agents, and deployment model. Every evaluation starts with a trial in the customer environment; no public list price is published.
Problems it solves
- UI tests tied to CSS, XPath, object IDs, or recordings break when applications and layouts change
- Delivery teams need one automation approach across desktop, browser, mobile, virtualized, and hardware interfaces
- QA teams need repeatable CI execution, scheduling, reports, screenshots, and step-level transcripts
- Organizations with sensitive screens need local, on-premises, air-gapped, or bring-your-own-model deployment options
AskUI uses computer-use agents to run plain-language UI procedures against desktop, web, mobile, virtualized, and hardware interfaces. Desktop supports authoring and review, the CLI runs headlessly in CI, and AgentOS exposes keyboard, mouse, and screen control.
Team and Enterprise plans are quoted per organization after a scoped trial. Pricing depends on targets, concurrent agents, and deployment, with private and bring-your-own-model options available.
Information
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AskUI
Sales-led computer-use automation for testing desktop, web, mobile, and hardware interfaces
AskUI uses computer-use agents to run plain-language UI procedures against desktop, web, mobile, virtualized, and hardware interfaces. Desktop supports authoring and review, the CLI runs headlessly in CI, and AgentOS exposes keyboard, mouse, and screen control.
Team and Enterprise plans are quoted per organization after a scoped trial. Pricing depends on targets, concurrent agents, and deployment, with private and bring-your-own-model options available.
What this product helps you do
AskUI is an agentic UI-testing platform built around computer-use agents rather than DOM selectors or recorded click paths. Teams write tests and expected results in Markdown, run them in AskUI Desktop or headlessly through the CLI, and use AgentOS to expose keyboard, mouse, and screen access across Windows, macOS, Linux, Android, browsers, and connected hardware. AskUI sells Team and Enterprise plans per organization after scoping the target systems, concurrent agents, and deployment model. Every evaluation starts with a trial in the customer environment; no public list price is published.
Problems it solves
- UI tests tied to CSS, XPath, object IDs, or recordings break when applications and layouts change
- Delivery teams need one automation approach across desktop, browser, mobile, virtualized, and hardware interfaces
- QA teams need repeatable CI execution, scheduling, reports, screenshots, and step-level transcripts
- Organizations with sensitive screens need local, on-premises, air-gapped, or bring-your-own-model deployment options
Information
You are leaving botconomy for the provider’s website. Link verified 9/23/2026.
Related AI products
Pixee
Pixee ingests findings from connected SAST, SCA, DAST, or SARIF-compatible scanners, analyzes exploitability, and proposes context-aware fixes as ordinary pull requests across major source-control platforms.
Void Editor​
Void Editor is an open-source AI-powered code editor designed to provide developers with advanced AI features while ensuring complete data privacy. Built as a fork of VS Code, it allows seamless integration with various large language models (LLMs), enabling developers to write code more efficiently without compromising control over their data.
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Chroma stores documents, embeddings, and metadata and supports dense, sparse, hybrid, full-text, regex, metadata, and multimodal retrieval through an Apache-2.0 project and serverless cloud service.