Anchor Browser
Cloud-based browser automation infrastructure for agentic AI, enabling agents to browse like humans with built-in anti-detection and CAPTCHA solving
Visit Website ↗What is Anchor Browser
Anchor Browser is a cloud-based browser automation platform designed for agentic AI, providing a secure environment for AI agents to navigate, extract data, and perform actions like humans. It emphasizes 'human-like' browsing behavior, automatically handling CAPTCHA and bypassing advanced anti-bot detection, with support for unlimited parallel browsing and session duration. On the WebVoyager benchmark, it achieves a task completion rate of approximately 89%, with a high coverage of capabilities.
Founded in 2024 by Idan Raman, Dor Dankner, and Guy Ben Simhon, who come from Israeli intelligence unit Unit 8200 and cybersecurity backgrounds, including SentinelOne, Noname Security, and BlinkOps. In 2025, it raised $6 million in seed funding led by Blumberg Capital, with customers including Groq, Unify, and Browser-use. The service targets developers and teams building 'self-browsing' agents, prioritizing stability and anti-detection.
Features and Use Cases
Anchor Browser offers usage-based pricing: $0.05 per browser hour and $4 per GB of proxy traffic, with a $5 monthly free credit. Its differentiator is the focus on 'anti-detection and stability' – human-like behavior, automatic CAPTCHA solving, and bypassing anti-scraping walls, backed by the team's cybersecurity expertise. It is suitable for teams running agents on websites with strict anti-bot measures, valuing task success rates and stability. However, it may not be the best fit for individuals running simple, public web scraping tasks or those with compliance concerns regarding 'human-like' anti-detection.
Key Features
- Cloud-based browser environment for human-like agent operation
- Human-like, undetectable browsing behavior
- Automatic CAPTCHA solving and advanced anti-bot detection bypass
- Support for unlimited parallel browsing and session duration
- WebVoyager task completion rate of approximately 89%
Pros
- Strong anti-detection and stability, high task success rate
- Cybersecurity background team, expertise in anti-scraping and security
- Usage-based pricing with monthly free credit
Cons
- Requires custom agent logic development
- Human-like anti-detection may raise compliance concerns in some scenarios
- Simple, public web scraping tasks may be more cost-effective with local solutions
Use Cases
- Running agents on websites with strict anti-bot measures
- Large-scale, parallel data extraction from login-protected or bot-blocked websites
- High-task-success-rate web automation workflows
- Adding reliable 'AI-operated web browsing' backend to products
Editor's Note
Editor's note: Among the many browser infrastructures, Anchor Browser stands out with its cybersecurity team's expertise in anti-detection, anti-scraping, and task success rates, addressing the common pain points in web automation. Rated 4.1; deducted points for the potential compliance concerns with human-like anti-detection in certain scenarios, but it is a solid choice for stability.
FAQ
How does Anchor Browser differ from other browser infrastructures?
It focuses on anti-detection and stability as its main selling point, with human-like behavior, automatic CAPTCHA solving, and bypassing anti-scraping walls, backed by the team's cybersecurity expertise.
What is the pricing model?
Usage-based pricing, with $0.05 per browser hour and $4 per GB of proxy traffic, and a $5 monthly free credit, suitable for small-scale testing before scaling up.