Open Core Ventures (OCV) is proud to announce the launch of Gobii, an AI web agent platform built on top of the open source framework browser-use. Gobii’s web agents can monitor and complete web-based tasks on behalf of a user, bringing the concept of AI “assistants” and “employees” to the web. For example, a user can ask Gobii to monitor various real estate websites looking for houses that meet specific criteria and send a contact request when listings meet the criteria. Its serverless API makes it easy to automate browser-based tasks by removing the infrastructure burden from the user, similar to how ChatGPT’s easy-to-use interface democratized generative AI.
Founder and CTO Andrew Christianson is the creator of open source AI coding agent RA.Aid. He recently completed OCV’s Catalyst program, where he grew RA.Aid 9X over three months. His background spans multiple startups and nine years doing signals intelligence work for the National Security Agency, where he was an official Apache NiFi contributor. “I’ve been in the space of web scraping web agents for quite some time. I haven't built businesses around it,” said Andrew. “A large part of web agents is essentially signals intelligence—collecting information, monitoring markets, doing research—but the web agents do the work for you.”
Web-based task automation is the new AI frontier
The AI industry is evolving from chatbots to autonomous agents capable of taking action on behalf of users. This transformation represents what industry leaders are calling the dawn of the "agentic web"—a fundamental reimagining of how businesses interact with digital workflows. The market opportunity is substantial: the AI agents market is projected to explode from $7.84 billion in 2025 to $52.62 billion by 2030, representing a CAGR of 46.3%.
Major technology companies are rushing to stake their claims in this emerging landscape. OpenAI launched Operator in January 2025, an AI agent that can autonomously perform web-based tasks like booking travel and ordering groceries on specific websites. Microsoft announced over 50 AI tools at Build 2025 to create what it calls the "open agentic web," while Google's I/O 2025 was dominated by Project Mariner AI agents that can browse the web, conduct research, and interact with multiple websites simultaneously. As Google's VP of Search, Liz Reid, stated, "We believe AI will be the most powerful engine for discovery that the web has ever seen."
The potential for 24/7 autonomous operations transforms business capabilities. “Consider content marketing teams that could deploy agents to monitor Reddit and instruct it, ‘tell me when you see something relevant,’ and it would ping you on Slack," said Andrew. This continuous monitoring capability is particularly valuable given that "if you can respond within 30 minutes of the original post, it's far more likely that you get engagement versus if it's hours or especially days later."
Beyond content marketing, enterprise use cases span numerous industries. HR teams can automate employee onboarding workflows that involve interacting with web apps. E-commerce companies can deploy agents to track competitor pricing and monitor product reviews across multiple platforms. Financial services firms can automate compliance monitoring and data collection from regulatory websites.
However, a critical infrastructure gap exists between these consumer-focused demonstrations and enterprise-ready solutions. While tech giants showcase AI agents booking flights, most businesses struggle with the fundamental challenge: "It's hard to run a browser in the cloud," said Andrew. This creates a perfect storm of opportunity for Gobii, which plans to address enterprise infrastructure needs.
Simplifying browser-use
The shift from rule-based automation to AI-native workflows represents a complicated paradigm change. Traditional automation tools require extensive manual configuration—"You would have to either pay somebody to create a web scraper or interact with an API first to get the data," said Andrew. "And then you'd have to have essentially manual heuristics or traditional machine learning algorithms to categorize, and then additional steps in the pipeline." In an AI-native world, users should be able to use natural language to instruct a web agent to complete tasks.
If you have the resources to run it, browser-use’s open source framework enables this—just give it a high-level task and it will execute. “To run browser-use you have to do all of this infrastructure work, and it still has limitations," said Andrew. "When you first spin it up, it's running on your laptop. So the second that you close your laptop, your agent shuts down.” Companies attempting to deploy browser automation still face challenges, including managing browser instances in the cloud, handling website blocking of data center IPs, and scaling across multiple concurrent tasks.
Gobii abstracts these complexities through its serverless architecture. Businesses connect through a simple API and gain access to managed browser automation without worrying about deployment, scaling, or maintenance. The platform's scalability becomes particularly important as businesses move beyond single-agent deployments to multi-agent workflows. Andrew envisions scenarios where "you might have like one agent that is specialized in deep research, like doing background research, one that's specialized in discovering content marketing opportunities, maybe one that's specialized in the actual writing of the content." This multi-agent architecture requires infrastructure that can manage complex workflows while maintaining security and observability. By transforming browser-use from a developer-focused library into an enterprise-grade infrastructure that scales with business needs, companies can focus on their core value proposition rather than solving infrastructure challenges.
Building the future of work
Gobii’s vision is to build a foundational platform for the agentic web era. "Our vision is validated by the tech giants. Anthropic’s CEO recently said that there will be AI employees within the year,” said Andrew. “That’s exactly what we’re building."
The journey ahead starts with Gobii's browser-use cloud API, but Andrew sees a much broader future. "This initial browser-use in the cloud service is like how EC2 was in the history of AWS," he explains, referencing Amazon's evolution from basic infrastructure to comprehensive managed services. "As we develop more products and features, we can build on top of this base building block to solve higher-level problems."
This progression from infrastructure to higher-level services reflects broader market trends. Anthropic's research shows that 79% of conversations with coding agents involve automation rather than augmentation, suggesting that businesses increasingly prefer AI systems that complete tasks independently. This trend toward full automation creates opportunities for Gobii to expand beyond basic browser control into complete workflow management.
What excites Andrew most is the potential to fundamentally transform business operations. "I think the modern form of a company is a mix of AI agents and human beings, and the AI agents are truly agentic," he explains. "You interact with them with natural language." This vision positions Gobii as essential infrastructure for the future of work, where businesses deploy networks of AI agents to handle routine tasks while humans focus on strategy and creativity. By providing the reliable, scalable infrastructure that AI agents require, Gobii is positioned to be a foundational layer enabling the broader agentic ecosystem and the next generation of business automation.