Stomio provides a purpose-built platform for product teams to run structured beta programs, replacing spreadsheets and scattered communication channels. The platform centralizes tester engagement, feedback collection, and issue tracking, with AI-powered tools for task creation, ticket triage, and data synthesis. It reports raising tester engagement from the 10% industry average to 70% for Fortune 500 teams.
Funding
Funding not disclosed
Founders
Product
Problem
Beta programs commonly fail because tester engagement drops to around 10%, with most testers never completing assigned tasks. Feedback becomes scattered across emails, spreadsheets, Slack threads, and other tools, making synthesis slow and difficult. Setting up a beta program manually often takes so long that it delays the product launch it was meant to support.
Solution
Stomio provides a dedicated platform for managing structured beta programs, giving product teams a single command center to track tester activity, completion rates, and open issues in real time. The platform includes an AI Task Builder that generates structured tasks with step-by-step instructions, and an AI-powered ticketing system that analyzes tester feedback for sentiment and severity. An AI Canvas feature lets teams query all beta responses in natural language to surface distributions, sentiment breakdowns, and recommended next actions. Stomio also functions as a remote MCP server, allowing AI assistants like Claude and ChatGPT to connect directly to the workspace to draft tasks, triage tickets, and draft announcements.
Target Audience
Primary customers are B2B product teams at enterprise and mid-market companies that run structured beta programs and need to increase tester engagement while reducing coordination overhead.
Features
- Command Center dashboard tracking completion rates, tester performance, open bugs, and days remaining across all active beta programs
- AI Task Builder that generates complete task sets with microinstructions and in-moment feedback prompts from a simple product description
- Ticketing system with AI analysis of sentiment, severity, and suggested replies, plus direct Jira integration
- AI Canvas for natural language queries over beta data, producing distributions, sentiment breakdowns, and exportable charts
- Results Deep Dive with aggregated and individual views, tag-based grouping, and tester funnel analysis
- MCP server connectivity enabling Claude and ChatGPT to read and write beta data with revocable permissions and preview confirmation
- Persistent tester database with custom fields, cross-beta performance tracking, and CSV export