Rethinking Knowledge Work at SMEs
Something transformative is happening to everyday work.
While much attention is given to large corporations and startups, the heart of global productivity lies within small and medium-sized enterprises (SMEs). SMEs—defined as businesses with fewer than 500 employees—are the backbone of most economies, employing nearly half of the global workforce. In the United States alone, an estimated 40 to 50 million people are knowledge workers, and approximately 20 million of them work at SMEs. These individuals spend their days navigating emails, spreadsheets, and countless browser tabs, yet face a common, frustrating reality: 2.5 to 5 hours lost daily to repetitive, manual tasks. Copying data between SaaS tools, filling forms, gathering information from multiple websites, and managing fragmented workflows isn’t just time-consuming—it’s draining productivity and stifling creativity.
Developers have revolutionized their work with AI tools like Cursor to make coding faster and more intuitive. Yet for knowledge workers at SMEs—where most knowledge work happens in browsers—automation remains complex, technical, and out of reach. Existing solutions like Zapier and Make demand technical setups; enterprise RPA tools cater to Fortune 500 companies, not the everyday worker; and hiring human help is slow, expensive, and unsustainable.
But this is just the beginning.
Work Is Changing—AI Is Leading the Way
By the end of this decade, managing AI agents will be more valuable than managing people.
Knowledge workers at SMEs will rely on AI to handle the tedious parts of their workflows, freeing them to focus on strategy, decision-making, and creative problem-solving. Just as AI agents have transformed developer environments through tools like Cursor, the same shift is coming to browsers—the primary workspace for millions of workers. Imagine a world where the hours spent clicking, copying, and pasting are replaced by seamless, intelligent automation that runs in the background, empowering people to get more done without the mental load.
And as automation improves efficiency, Jevons Paradox emerges:
"Increased efficiency doesn’t reduce work; it shifts and expands it."
Companies that once required larger teams will operate with leaner headcounts, while the barriers to entrepreneurship will plummet. More people will become freelancers, consultants, or founders of SME businesses powered by AI agents—creating a cycle where:
✅ Greater efficiency → Lower costs → More entrepreneurs → Increased reliance on AI-driven teams to scale operations.
💡 Because work shouldn’t be a series of manual clicks and data entry—it should flow.
Why We Lean Into Our Thesis
🚀 1. Massive Market Opportunity Driven by Jevons Paradox:
- 1.1 billion knowledge workers globally, with 40 to 50 million in the U.S., including approximately 20 million working at SMEs, waste hours on manual, browser-based tasks.
- As AI enhances productivity, companies streamline operations, yet entrepreneurship grows, fueling demand for accessible AI solutions.
- Jevons Paradox in action:
- Greater efficiency → Lower costs → More businesses → Increased need for automation.
- Greater efficiency → Lower costs → More businesses → Increased need for automation.
⚙️ 2. Current Solutions Fall Short:
- Platforms like Zapier and Make are too technical for non-experts.
- Enterprise RPA tools (e.g., UiPath) are prohibitively expensive for SMEs.
- Hiring human assistants is slow, costly, and requires continuous management—AI agents offer an immediate, scalable alternative.
- Ironically, the quest for productivity has exposed a critical gap: we need simpler automation tools that everyday users can adopt without technical hurdles.
🌐 3. The Browser Is the Next Frontier for AI Agents:
- Developers have AI-enhanced IDEs (like Cursor), yet browsers—the primary workspace for knowledge workers—remain underserved.
- As businesses streamline backend operations, the browser emerges as the new productivity bottleneck.
- With millions of entrepreneurs, freelancers, and SME employees reliant on browser-based work, this is the natural next space for transformative automation.
💡 4. Orchestration Is the Solution:
- A single, adaptable AI agent that orchestrates SaaS tools and vertical AI agents through simple natural language commands—no code, no complexity.
- Empowers users to manage AI assistants like a team, enabling them to:
✅ Work faster
✅ Lower operational costs
✅ Focus on high-impact tasks like strategy and innovation - This isn’t just about saving time—it’s about unlocking new opportunities, democratizing productivity, and fueling a new wave of entrepreneurship and the creator economy.
Our Belief
Work should be about solving problems, making decisions, and creating value—not battling browser tabs, spreadsheets, and manual workflows. The tools we build today will define how we work tomorrow. For approximately 20 million knowledge workers at SMEs in the U.S. and hundreds of millions worldwide, the future of work isn’t just about speed—it’s about managing AI agents, not humans—freeing you to make work feel like a vibe.