Koboto network interface
  • KOBOTO
    • OUR VALUES & AGENTIC WORLD
      • Agentic World
  • INTRODUCTION
    • BARRIERS TO AI WORLD
      • Agent Monetization
      • Lack of Experts
      • Centralization of AI
      • Computational overhead & Inference verifiability
      • Adversarial Machine Learning Attacks
  • OUR SOLUTIONS
  • ABOUT
  • FEATURES
  • NETWORK PARTICIPANTS
  • ARCHITECTURE
  • OPERATERS GUIDE
    • AVS Based Approach
    • Builders Bootstrap Approach
  • SOLUTIONS
    • FOUNDATIONAL AGENTS
    • AGENTS | AS APPLICATIONS|
  • ROADMAP
    • FUTURE ROADMAP
  • COMMUNITY
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  1. INTRODUCTION
  2. BARRIERS TO AI WORLD

Agent Monetization

As we can see our industry grow where we had seen the mass like Microsoft, Amazon, Alibaba, Google OpenAI and other large companies will leverage their position to set the policy agenda for AI, as they have in many other sectors.

As they already doing it by building their own proprietary ai models where they already have huge compute bandwidth from there self-own data centres and ai startups also rely on the computing infrastructure of Microsoft, Amazon, and Google to train their systems, and on those same firms’ vast consumer market reach to deploy and sell their AI products.

Even we had seen in the convergence of where on the open-source platforms like huggingface developers cannot monetize their models, even someone can see their model weights and monetize it into an application. And even developers hosting their agents on platforms like OPENAI or many other has been there.

To converge the gap, we are building Koboto network . So builders can monetize their agents and user can have adjustable and dynamic pricing for their desired inference.

We are addressing this issue by our robust incentive design, blockchain payment system and smart contract locking in order to provide revenue streams, security and transparent environment for agents building on our network or even operating their agents outside our network bandwidth through inference aggregation. This brings Mixture of experts at one platform where the agents itself are not operating under a silo.

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Last updated 8 months ago