TryCase
TryCase provides disposable Linux desktop environments for AI coding agents to run, test, and verify applications with visual proof like screenshots and recordings.
At a Glance
- AI Agent Developers
- Software Engineering Teams
- Solo Developers using AI coding assistants
AI Tools by TryCase
(1)
TryCase
Cloud Testing Env for AI Agents
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Products & Services
Disposable test environments for LLMs and AI coding agents. Provides a Linux desktop with browser control to run apps, test changes, and return screenshots, recordings, and logs.
Market Position
TryCase differentiates itself by providing a full Linux desktop with visual verification (screenshots/recordings) specifically optimized for AI coding agents, whereas competitors often focus on pure CLI or headless sandboxes.
Leadership
Founders
Ben Chomsang
Technical founder and software engineer with a background in full-stack engineering and behavioural data science. Previously worked at Zinc (Zinc.work) and Cowry Consulting as a Behavioural Data Scientist. Education: University of Warwick.
Executive Team
Ben Chomsang
Founder
Technical founder and software engineer; creator of TryCase and Woven.
Founding Story
TryCase was created to solve the problem of verifying the work of AI coding agents. It allows agents to run the code they write in a real, disposable environment and provide visual and terminal proof to the user, ensuring the code works as intended before manual review.
Business Model
Revenue Model
Subscription-based with credit-based usage (compute credits).
Pricing Tiers
150 credits/month, 3 active environments, 30m max duration, headless only.
19,000 credits/month, 5 active environments, 120m max duration, includes nano desktop.
79,000 credits/month, 15 active environments, 120m max duration, parallel verification.
199,000 credits/month, 30 active environments, 120m max duration.
399,000 credits/month, 60 active environments, team management features.
Target Markets
- AI Agent Developers
- Software Engineering Teams
- Solo Developers using AI coding assistants
- End-to-end testing by AI agents
- Bug reproduction in isolated environments
- Visual regression testing
- Verification of code changes before shipping