About The Talk
This session introduces Unbrowse, a compatibility layer that enables autonomous agents to interact seamlessly with the open internet. We will explore the practical challenges encountered while building this system—from handling diverse web environments to ensuring reliability and safety at scale. The discussion will also highlight key lessons learned, design considerations, and emerging opportunities for agent-based automation. Participants will gain an inside look at how Unbrowse bridges the gap between agents and real-world web interfaces.
Solution
Unbrowse proposes a network-level wrapper that converts web activity into structured “abilities” that agents can reuse:
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Intercepts network packets instead of relying on UI automation.
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Converts real user sessions into reusable agent tools.
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Builds a universal index of abilities that agents can discover and combine.
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Uses recommendation systems to match agent intentions with optimal execution paths.
Market Opportunity
AI agents market projected to grow from $5–7B in 2025 to ~$42B by 2030.
Year-1 goals:
10,000 users
50,000 indexed abilities
~$1M ARR from SaaS plus ~$500K in token fees.
Vision
Unbrowse positions itself as infrastructure for the “agentic internet”, enabling AI agents to interact with the web seamlessly while allowing users to earn value from their interactions.
About The Speaker
Lewis Tham
Lewis Tham is the founder of Unbrowse, infrastructure for the agentic web. Unbrowse runs a shared route and access graph that lets AI agents transact with the web at machine scale, with over two million agent requests routed across more than 35,000 verified routes to date. Before Unbrowse, Lewis worked as a creative engineer focused on unorthodox solutions to real problems, building tools that sit at the intersection of automation, payments, and developer experience. He writes and speaks about agent-native infrastructure, x402, and what changes when machines, not humans, are the primary users of the internet.