Foom
FOOM is a personal intelligence platform that runs locally on the user's device, continuously learning individual preferences to filter digital noise and surface actionable insights across email, documents, calendars, and market data. It operates with zero latency, offers a single subscription, and includes active agents that draft messages, track stocks and flights, and prepare contextual briefs automatically. The system processes data on-device for privacy while optionally leveraging the cloud.
- AI Agents
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
People are overwhelmed by constant digital noise from email, notifications, news, and scheduling tools, which forces them to manually triage information and switch between multiple apps to stay on top of their day. Existing AI assistants are cloud-based, raising privacy concerns and failing to adapt to individual preferences with sufficient continuity or depth.
Solution
FOOM is a personal intelligence platform that runs locally on the user's device, continuously learning unique preferences to reshape and optimize the entire internet experience. It works quietly in the background, following multiple threads across email, documents, calendars, and market data, then surfaces only actionable intelligence through a unified dashboard. The system drafts messages, flags important emails, tracks stocks and flight prices, monitors routes, and prepares contextual briefs automatically. By processing data on-device, FOOM ensures privacy while still leveraging the cloud as an optional tool. The interface includes a command palette, contextual prompts, and a desktop app for always-on assistance.
Target Audience
Primary users are professionals and creatives such as actors, agents, and business people who juggle complex schedules, heavy email volumes, and time-sensitive logistics while wanting a private, locally-run AI assistant.
Features
- On-device machine learning that continuously models user preferences and behavior without sending personal data to the cloud
- Background thread monitoring across six concurrent contexts, including email triage, document processing, route tracking, and logistics planning
- Smart notification system that filters noise and surfaces only high-signal updates, such as flight price drops or agent replies
- Local document processing that can parse multi-page PDFs, highlight relevant lines, and generate role-specific briefs
- Automatic draft generation for messages like dinner pickups, with human approval pending before sending
- Portfolio tracking that watches user-selected stocks and provides pre-market movement alerts alongside live pricing