Polar
Polar is an AI browser that automates complex, multi-step knowledge work by operating inside a user's existing accounts and sessions across any website. Users describe tasks in plain language, and Polar clicks, types, and navigates for hours—even running up to ten agents in parallel—with a transparency layer for real-time monitoring. The browser agent has completed tasks lasting over 15 hours and achieved a 98.0 score on leading browser agent benchmarks.
- AI Agents
- Artificial Intelligence
- Enterprise Software
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Knowledge workers spend hours on repetitive browser-based tasks—opening dozens of tabs to answer a question, filling out forms, and manually updating spreadsheets, emails, and docs. Existing AI browsing tools handle only simple clicks and chats, leaving the bulk of the work to the user and failing to complete long-running, multi-step processes reliably.
Solution
Polar is an AI browser that automates complex knowledge work by operating inside a user's existing accounts and sessions, clicking, typing, and navigating websites just as a person would. The agent can complete tasks that take anywhere from a few minutes to over 15 hours, allowing users to delegate entire workflows and run multiple agents in parallel. Users describe what they need in plain language, and Polar executes the task across any website or tool, from prospecting and outreach to ops and hiring. The browser agent is designed for long-duration reliability through a custom architecture that combines model orchestration, generalizable UI navigation tools, and an adaptive memory system that improves task performance over time.
Target Audience
Primary users are knowledge workers across sales, recruiting, operations, and marketing teams, as well as individual professionals who need to offload high-volume browser-based grunt work.
Features
- Operates inside existing user accounts and sessions across any website, eliminating the need for API integrations or credential handoffs
- Executes long-running, multi-step workflows for 15+ hours continuously, with support for scheduling and running up to ten agents simultaneously
- Uses a mix of different AI models orchestrated across the agent to optimize capability, with a proprietary memory system that learns user preferences and task patterns
- Includes a transparency layer that lets users follow along with agent actions in real time as it clicks, types, and navigates
- Achieves 98.0 on leading browser agent benchmarks, with particular strength in large-scale, long-horizon tasks, and is extensible to dynamic UIs including spreadsheets, maps, docs, and social media
- Available as a desktop application for macOS, deployable team-wide as a daily driver for automating research, recruiting, sales, and marketing operations