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ZkAGI

Verifiable AI Agents, Decentralized at the Core

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Public Sale

TBA

Non-refundable

Chain

100,000 USDT

Type Public Sale
Price 0.005 USDT
Start Date TBA
Vesting Term 50% at TGE, 50% 3 months after TGE
Sale Network Chain

Description


Terms of the Sale

IDO Type: Public IDO 

Ticker: $ZKAGI

Total Raise: 100,000 USD

IDO Start Date: TBA

IDO End Date: TBA

$ZKAGI Token Price: $0.005

Vesting Terms: 50% at TGE, 50% 3 months after TGE

Refund Terms: Non-Refundable

 

FDV: $5,000,000

CEX Listing Date: TBD

CEXs/DEXs: TBD

Total Token Supply: 1,000,000,000

Initial Market Cap: $1,663,500

Initial Circulating Supply: $221,800,000 

 

$ZKAGI Network: Solana

$ZKAGI Contract Adress: TBD

 

Payment Token : USDT (BEP-20)

$USDT Tokens Network: Binance Smart Chain

$USDT Contract Adress : 0x55d398326f99059ff775485246999027b3197955

 

Useful Links

Whitepaper:  https://drive.google.com/drive/folders/1o1yEdD8U1FMtT2svApnYdpM2Bv6B3q5_ 

 

About zkAGI

ZkAGI's infrastructure supports human-to-machine, machine-to-machine, and machine-to-human interactions, facilitating seamless and secure AI computations ZkAGI is a decentralized infrastructure network of GPUs+CPUs on which Zk verified AI models are hosted / can be hosted enabling anyone to build AI agents with on-chain & data privacy.

 

What makes zkAGI different/unique?

Comparison with bigger projects and how ZkAGI differs :

Open AI / ChatGPT

Narrative for Competition: Focuses on developer tools and end-user AI.

Competitive Advantages for ZkAGI: ZkAGI offers a decentralized alternative and leverages open-source solutions, enabling a larger number of use cases compared to OpenAI's centralized approach.

Bittensor

Narrative for Competition: Operates as a decentralized AI network.

Competitive Advantages for ZkAGI: ZkAGI is more high-performance and pragmatic due to its compatibility with Solana/EVM, while also ensuring data privacy for all kinds of models.

Virtuals

Narrative for Competition: Provides an Agent Builder/Protocol with a focus on advanced AI models for agents and untraceability on-chain.

Competitive Advantages for ZkAGI: While Virtuals has GPU DePIN support from day one, ZkAGI differentiates itself by offering greater flexibility and scalability through its innovative GPU DePIN solutions.

Vvaifu.fun / CreatorBid

Narrative for Competition: Has its own LLMs and models, avoiding the need to borrow from others.

Competitive Advantages for ZkAGI: ZkAGI solves the demand problem for GPU DePINs by borrowing GPUs from other DePINs to autoscale based on AI computation needs, making it more adaptable and efficient.

GPU.net / Spheron Network

Narrative for Competition: Provides GPU DePIN solutions.

Competitive Advantages for ZkAGI: ZkAGI’s GPU DePIN not only solves the demand problem but also borrows GPUs from other DePINs to autoscale based on network needs, offering a more dynamic and scalable solution.

 

Summary of ZkAGI’s Competitive Advantages

Decentralized and Open Source: Enables a larger number of use cases compared to centralized competitors like OpenAI.

High Performance and Pragmatism: Solana/EVM compatibility ensures better performance and data privacy for all models.

Flexibility and Scalability: Advanced GPU DePIN solutions allow ZkAGI to borrow GPUs from other DePINs, solving demand problems and autoscaling based on AI computation needs.

Ownership of Models: Unlike some competitors, ZkAGI does not rely on borrowing models, ensuring greater control and innovation.

 

Revenue Streams

Direct Revenue from on-chain AI agents usage

Revenue collected from Compute Fees for AI models hosted on network

Revenue share with partner projects using ZkAGI APIs/building Agents on ZkAGI

 

Token Utility

Rewards to compute providers

Fees to use end user digital assistant / agents

 

Tokenomics

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Roadmap

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Team

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Team is comprised of 1 full time member in product strategy & partnerships the CEO. 4 part time members on marketing. 3 full time members in tech in front end, Devops, AI & web3. 2 part time members in web3. 1 full time member on product design.

Include short bios of the core team members.

Aten (Suraj) as CEO and founder, an experienced product builder who has built and innovated Autonomous Agents/ Robots from 2016, bootstrapped product sales to $1M+ from web3/AI products and services & closed 200+ partnerships. Masters in computer science & bachelors in computer engineering from university of Illinois at Urbana-Champaign. Spent time as venture partner and ran an accelerator/did angel investing to support bootstrapped remote entrepreneurs.

Nikhil Kumar is interim CTO / Chief Data Scientist a focussed AI, devops & backend engineer who has helped several startups build AI products and worked with Aten over the last 3 years. They’ve pivoted through the ups and  brought ZkAGI to life over the years. With deep research & development.

Varun is Lead AI infra Engineer who has been working with Aten & Nikhil for over 1.5 years now. He is an exceptional talent, fast learner of AI systems & cracks hard problems with out of the box thinking. He brings a unique knack to solve the unsolvable.

Ankita is ZkAGI’s only female code champion at the moment bringing much design care & unmatchable drive to push front code updates based on user feedback. She is an accomplished front end engineer with experience at big tech firms like UIPath.

Tushar Khakkar & Aditya Chaplot are part time contributors on web3 side of things with knowledge of rust, move language and new frameworks. Both are winners of hackathons like Eth Istanbul and similar

Atharva was the CTO, now a part time voluntary contributor to project (given its open source nature) is an Eth protocol fellow, winner of multiple Eth chapters. Worked on open source projects like fedimint, and spent time at Bankless.

A more seasoned CTO replacement hailing from big tech and among top 1% of systems programmers has been identified,  he will be instated 1-2 months after TGE and once the books can support the new hire. He has agreed in principal.

 

Advisors

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Pranay Sanghavi: Strategy + Business Advisor

Leo (GTS Ventures) : Token economics & Product strategy

Steve Drew: Blockchain Advisor

Michelle Loke: FinTech Advisor

Sandip Chakraborty: Performance Engineering Advisor

Fahd Mirza: Al Infra Advisor

Sanjay Kumar: Economics & Business Advisor

Chirayu Tripathi: Machine Learning Advisor

Kuntal Ganguly: GTM Advisor

Mayoinsights: KOL Advisor

 

Investors

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Partners

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