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Kite AI: foundational blockchain for AI

Scott Shi, �cofounder & CTO of Kite AI ��Twitter(X): @gokiteai, @scottshics�Youtube: @ScottShiCS

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We know AI and Web3

Founder of Uber Safety Data, Eng Committee Chair @ Uber (also built Uber’s “Scale AI”)

Founding engineer, Tech Lead & @ Salesforce Einstein AI (patented dataflow orchestrators)

Cofounder @ RisingWave (Streaming database. $45M+ raised)

Engineer @ Electronic Arts; M.S. in CS @ UIUC, ZJU

Scott Shi

Cofounder, CTO

Team

Twitter(X): @gokiteai, @scottshics

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Trend 1. Billions of AI agents will power the future economy

2020

No. of Agents

Year

1 bn

300

5

2030

2024

Customized

Agents

Foundation

models

Millions of models customized from foundation models: tailored for specific domains, data privacy, cost optimization.

$19.9T

of broad products/services could be contributed by AI

Source: IDC

Market

The Growth of Al Agents

Twitter(X): @gokiteai, @scottshics

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Trend 1. Agent architecture has evolved a lot

Trends

Twitter(X): @gokiteai, @scottshics

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Trend 1. Agent architecture has evolved a lot

Trends

Twitter(X): @gokiteai, @scottshics

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Trend 3. Agent need to operate / manage wallet

Trends

Twitter(X): @gokiteai, @scottshics

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However, challenges remain for the mass adoption of decentralized AI

Problem

❌

Today’s protocols are optimized for cryptocurrency and DeFi but fail to address the nuanced needs of an AI-driven economy

❌

Lack the ability to fairly attribute contributions, incentivize collaboration across complex AI workflows

Exploitation by centralized entities, monopolizing AI profits and leaving downstream contributors undervalued.

❌

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Let’s fix it with a customized AI base layer

Vision

Kite AI (@goKiteAI) is the first base layer customized for AI, empowering fair and transparent collaboration across data, models, and agents with Proof of AI.

Kite AI empowers AI Collaboration with Proof of AI (PoAI):

Fair Attribution: Reward data providers, model builders, and agent developers based on their genuine contributions, ensuring equity and transparency.�
Incentive Alignment: Incorporate advanced game-theoretic principles to deter rational and irrational attacks, creating a sustainable AI ecosystem.�
Scalable and Inclusive: Enable seamless participation in AI workflows with dynamic, secure infrastructure purpose-built for AI use cases.

Twitter(X): @gokiteai, @scottshics

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We are redefining the consensus mechanism for AI-driven economy

Solution

Provenance First

Verifiable

Composable &

Interoperable

Privacy-preserving

Powered by Proof of Attributed Intelligence (PoAI), we are redefining the consensus mechanism for the AI Economy 3.0 with an accessible ecosystem of data, models & agents.

Detailed Architecture

Twitter(X): @gokiteai, @scottshics

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Ecosystem

Unlock endless possibilities for AI users and developers with open access to vital AI data, models, agents, and infrastructure.

User Flow

Unified platform to access AI assets produced by subnets

...

Al Users & App Developers

Data Subnets

AI Builder Subnets

AI Infra & Agent Subnets

Query Engine

Model Sdk

Data Catalog

Payment

...

Workspace 1

(Blood Cancer Diagnosis)

Workspace 2

(Al Robotics Data)

More

Workspaces...

Revenue

AI Output

...

Kite AI Network

Twitter(X): @gokiteai, @scottshics

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MSK Cancer Center: Blood cancer pathology diagnosis

Case Study

Enterprise-grade data contribution: Annotated datasets from Codatta, UCSF, and Berkeley fuel high-precision AI models for blood cancer detection.

End-to-end workflow: Kite AI enables seamless collaboration across contributors, model builders, and enterprise users like Quest Diagnostics, delivering trusted, real-world AI solutions for pathology.

Data Contributors

Model Builders

Model Users

Blood Cancer

Detection

Pathlogists

(Fortune 500,

Clinical Company)

Codatta

Annotated

Data

Ucsf

Annotated

Data

Berkeley

Annotated

Data

Codatta

Annotated data

Annotated WSIs

(proof of annotation)

Annotated data

for leukemia

Contributes data back

Kite Ai Copilot

Twitter(X): @gokiteai, @scottshics

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Ecosystem

Case Study

The best-in-class Al digital creator agent for influencers

AI-Driven Personalization: Fish Audio can build AI digital twin models using multimodal data from multiple data sources to deliver highly personalized experiences for creators.

Trusted, observable AI workflows: With Kite AI, data contributions are traceable, models are verifiable, and outputs are personalized efficiently

Data Contributors

Model Builders

Model Users

AI Digital Twin Agent

Entertainment Businesses

Creator N

RAG

Personalized Agent N

Creator 1

RAG

Personalized Agent 1

Chatroom Data

Companion Data

Live-streaming Data

Contributes data back

Platform 1

Platform 2

Platform 3

Kite Ai Copilot

Twitter(X): @gokiteai, @scottshics

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We’re building a base layer focused around composable AI subnets

Data Subnets:

Fair monetization on their high-quality essential data to increase revenue

AI Builder Subnets:

Access to high-quality data and base models for building custom SOTA models, & fair compensation on those models

AI Infra & Agent Subnets:

Access to more clients (i.e., AI/ML builders) to increase revenues

Key participants:

Data Subnets

AI Builder Subnets

AI Infra & Agent Subnets

Partnership

Better Data + Better Models + Incentive Alignment = Better AI

Twitter(X): @gokiteai, @scottshics

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Powering top Web3 protocols and enterprises since 2022

Evan Cheng

Co-Founder & CEO

“Kite AI’s open, secure AI infra has been instrumental in scaling Sui’s adoption, bridging the Web2 and Web3 worlds seamlessly. With Kite AI’s innovative data and AI stack, Sui developers and builders can craft various use cases and build the next generation of AI-powered applications for exponential adoption of Web3.”

Backed by world-class investors

Metrics:

200K+ datasets built by our ecosystem

1,500+ TB data accessible

10+ AI models in production

Multi-million revenue streams

And a lot more…

Adoption

Twitter(X): @gokiteai, @scottshics