GOM
GOM provides an AI employee called Pip that performs real work inside a team's existing tools, such as pulling metrics from PostHog, checking shipped items in Linear, and drafting reports for Slack. The AI runs on a persistent shared computer, so work continues without an open browser tab, and all outgoing actions wait in an approval queue. GOM is in early access and charges a flat $200 per month for all 21 connectors, routines, and approval controls.
- AI Agents
- Enterprise Software
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Knowledge workers spend significant time on repetitive digital tasks like compiling reports, checking tool metrics, and drafting status updates, which pulls focus from higher-value work. These routine operations often require keeping a laptop open and manually coordinating across multiple disconnected apps and accounts.
Solution
GOM offers an AI employee that performs real work inside a team's existing tools. The AI worker, named Pip, can follow scheduled routines, pull data from connected platforms, draft posts, and wait for human approval before sending anything. It runs on a persistent, shared machine so files, sessions, and tool connections carry over without requiring an open tab. Corrections made by users become standing rules, so the AI improves over time and requires less supervision for recurring tasks. The platform is currently in early access and emphasizes a safety-first approach, with approval queues for all outgoing actions and agentic routines that can be delegated once trust is established.
Target Audience
Operations teams, startup founders, and small business owners who handle recurring reporting and administrative workflows, particularly those already using tools like Slack, Linear, and PostHog. The product is also suited for non-engineers who need automation without writing code.
Features
- Scheduled routines that execute on a recurring basis, such as a weekly Monday ops report compiled from PostHog and Linear data
- Persistent shared computer that retains files, sessions, and tool access without requiring an open browser tab
- Approval queue for all outgoing actions; auto-approve is opt-in and limited to actions explicitly marked safe
- Memory and standing rules that persist user corrections across future runs, reducing repeat instructions
- Connectors for 21+ tools including Slack, Gmail, Notion, Linear, GitHub, Jira, PostHog, Shopify, Airtable, Supabase, and any MCP server
- Straightforward security model with per-connector OAuth scoping and transparent explanations of what the AI can see and do