Gata
  • Intro
    • Gata: Co-Create Frontier AI Data
  • Thesis
    • Why Frontier Data?
    • Frontier Is Disruptive
  • Data-Earning Products
    • 💬GPT-to-Earn
    • 👩🏻‍💻All-in-One Chat
    • 🤖DataAgent: DVA
  • Business Model
    • Points
    • Revenue Model
  • Validations
    • 📈Data & User Growth
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  1. Thesis

Frontier Is Disruptive

Focusing on frontier data is a disruptive opportunity in the AI data industry.

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Building increasingly powerful AI systems (i.e., AGI and superintelligence) is the most important technical problem of our time. This pursuit has already reshaped every corner of technology, from vision, language, to robotics.

The radical rise of AI creates opportunities for adjacent sectors to outcompete well-established incumbents by focusing on the AI frontier. Rapid frontier innovation erodes the competitive edge of incumbents who struggle to pivot quickly. In this dynamic environment, smaller, specialized teams with a clear mission can move faster, capture market share, and leapfrog slower-moving giants.

We are already witnessing a realignment of the tech landscape driven by frontier AI. OpenAI and Anthropic have already disrupted traditional search engines. New cloud-service providers challenge AWS, Microsoft, and Google by optimizing for foundation model workloads. Groq develops specialized chips for foundation models. Meanwhile, companies focused on frontier AI advancement prediction (), frontier AI evaluation (), frontier AI risk mitigation (, ), and frontier AI safety and security () are emerging.

We believe that focusing on frontier data presents Gata a disruptive opportunity for the AI data industry. Most data companies operate on an outsourcing model, responding to AI companies’ data demands. They are poised to follow frontier advancements. In contrast, Gata aims to proactively research and produce frontier data that unlocks frontier-level AI advancements. In doing so, Gata drives frontier AI advancements.

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