Anchor Forge Ltd., the creator of an AI-powered developer platform, has announced a $6 million seed funding round aimed at revolutionizing how AI agents interact with the web. At the heart of this innovation is ‘b0.dev’, Anchor’s next-generation agentic browser that automates complex workflows using cloud-based browsers and intelligent planning logic.

Modern AI agents are rapidly evolving beyond static data tasks, now capable of browsing websites, interpreting interfaces visually, clicking buttons, and interacting with text fields — just like humans. Anchor’s approach harnesses AI in a novel way: large language models (LLMs) are used only during an initial planning stage. Once the agent determines *how* to complete the task, it executes it independently, reducing AI compute overhead and improving scalability.

For example, a user could enter a request like: “Go to the official Notion site, extract all pricing plans, monthly vs. annual cost, and highlight usage-based limits.” Anchor’s system translates this into actionable steps within a visual browser in the cloud — no coding required. The rendering of actual web pages, rather than scraping underlying HTML code, enhances reliability and usability compared to traditional automation bots.

What sets Anchor apart is its human-like interaction model. Instead of treating sites as lines of code, its AI agents visually interact with rendered sites in real-time, allowing enterprises to automate previously inaccessible workflows. This brings enormous potential for tasks such as financial data tracking, SaaS price comparisons, document uploads, and multi-step form submissions — tasks typically requiring manual intervention or brittle scripts.

Anchor integrates with leading LLMs including GPT-4, Llama 4, Google’s Gemini, and Groq’s OSS 120B, through unified APIs and standardized agent protocols. This makes it highly adaptable for developers looking to plug AI agents into their platforms quickly and securely.

Companies such as Groq and Coinbase are already leveraging Anchor to power intelligent research agents and streamline interactions across the open web. The flexibility of spinning up multiple cloud browser instances enabled Groq to build its MVP in under an hour.

The funding round was led by Blumberg Capital with support from Gradient, underscoring strong investor confidence in scaling browser-native automation. As businesses increasingly rely on web apps and cloud platforms, Anchor’s AI-native approach represents a significant leap forward in building autonomous, scalable, browser-first workflows.

As AI agents become a core part of digital operations, this innovation opens new doors in business automation, research analysis, and even customer support automation — turning the web itself into a programmable interface.

At DevSparks, we’re witnessing a sharp rise in demand for AI-native automation, especially in contexts where user interfaces weren’t originally designed for bots. Solutions like Anchor’s agentic browsers bridge this gap by giving AI agents intuitive, human-like web navigation abilities. This unlocks a massive new layer of use cases — from competitive intelligence to automated testing and onboarding simulations. For organizations eager to explore browser automation or integrate AI into their SaaS workflows, DevSparks supports tailored implementation strategies and custom integrations based on these emerging technologies.