ZayaAI logo

ZayaAI (ZAYA)

Status
IDO

Zaya AI is working on artificial intelligence models to empower pathologists.

ZayaAI White Paper WhitepaperZayaAI Onepager Onepager

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User Rating
Medium
3/5 1 votes
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Ticker
ZAYA
Type
Utility-token
Token standard
ERC-20
FoundedRomania
Registration countryRomania
Registration year2023
Office addressBucharest, Bucharest 020105, RO

What is ZayaAI

Zaya equips pathologists and scientists in preclinical, academic, and clinical labs with the most powerful deep learning artificial intelligence and cloud-based technology to increase the speed, accuracy, and consistency of analysing large and complex medical images.

Zaya is composed of an ideal mix of scientists experienced in pathology diagnostics, software developers who collectively hold over 20 years' experience in artificial intelligence, and a business team with backgrounds in technology industries.

Convolutional neural networks of Zaya’s AI software can be trained to detect and analyse any feature in any image. Improvements in lab efficiency are critical as patients and physicians are dependent on lab results for diagnostic decisions, and diagnostic tests are required to be completed and reported quickly and accurately.

The $ZAYA utility token is the central element to the ZayaAI ecosystem, built on blockchain. It serves multiple purposes, including rewards, payments, staking, while not neglecting participation in pathology research projects. The token’s functionalities can be adapted or extended based on the ecosystem’s evolution.

ZayaAI Roadmap

1
2023 Q4
  • Establishing the Economic Model, Tokenomics, and Roadmap (Q4 2022)Determine the economic model for the entirety of the blockchain-related ecosystem, define tokenomics, and develop a comprehensive project roadmap.
2
2024 Q1
  • Obtaining Legal Opinion Seek legal advice to ensure the project complies with all relevant laws and regulations. This includes aspects related to blockchain technology, cryptocurrencies, NFTs, and medical services.
  • Drafting the Whitepaper Create a whitepaper that clearly outlines the project's vision, mission, and technical intricacies. It would provide a thorough explanation of the economic model, tokenomics, and the overall roadmap.
  • Website Redesign, Adding Blockchain-Related Components Update the current website design and adding sections related to blockchain technology, NFTs, the Zaya token, and the medical services being offered.
3
2024 Q2
  • Zaya Pathology LIS 1.0 We plan to launch the first version of our Zaya Laboratory Information System (LIS), which will streamline laboratory operations and improve efficiency in pathology labs.
  • Q2 - Token Issuance Issue the Zaya token, the native cryptocurrency of the platform.
4
2024 Q3
  • Staking Module Development The development of a staking mechanism for Zaya token holders to earn rewards.
5
2024 Q4
  • NFT Auction Module Development Create an auction system for the trading of NFTs through the Zaya Platform.
  • NFT Reward Module Development The development of a system to reward users with NFTs, promoting user engagement and incentivizing positive actions within the ecosystem.
  • Zaya Urothelial Carcinoma AI Diagnosis Model Commercial Launch We aim to commercially launch our AI-driven diagnosis model for urothelial carcinoma, providing pathologists with a powerful tool to enhance diagnostic accuracy and patient care.
6
2025 Q1
  • NFT Minting Start minting NFTs, ensuring seamless integration with the auction and reward systems.
  • Zaya Token Payment Module Development for Medical Services Create a module that enables users to pay for medical services using the Zaya token.
  • ZAYA Pathology Platform European Launch We will expand our presence in the European market with the launch of the ZAYA Pathology Platform, offering a comprehensive suite of AI-driven diagnostic tools and services to pathology labs and medical professionals across the continent.
7
2025 Q2
  • ZAYA Pathology Platform UK Launch We will further our global expansion by launching the ZAYA Pathology Platform in the United Kingdom, bringing our innovative solutions to the UK healthcare market.
  • Automatic Burn Module Construction The development of an automated token burning mechanism. For each purchase of medical services with Fiat currency, an extra 10% would be used to buy back Zaya tokens from the market to burn and remove them from the total token supply.
8
2025 Q3
  • Zaya Pathology Lab Opening Our state-of-the-art Zaya Pathology Lab will open its doors, offering a wide range of diagnostic services supported by advanced AI technologies and experienced professionals.
  • Zaya Medical Clinic Opening We will inaugurate the Zaya Medical Clinic, providing patients with access to high-quality medical services, preventative care, and personalized treatment plans.
  • Module Development for Encrypted Communication Between Doctors and AI Algorithm The creation of a system on Ethereum blockchain for the secure, encrypted transmission of information between doctors and the Zaya AI algorithm.
  • Module Development for Rewarding/Compensating Annotating Doctors with Zaya Token The development of a system to reward doctors who annotate their data contributions, compensating them with Zaya tokens for their work.
9
2025 Q4
  • ISO 27001 and ISO 13485 Accreditations We plan to obtain ISO 27001 (Information Security Management) and ISO 13485 (Medical Devices Quality Management) accreditations, demonstrating our commitment to the highest standards of quality, safety, and data protection.
10
2026 Q2
  • ZayaAI Prediction Model for Ulcerative Colitis Therapy Released We plan to release our AI-based prediction model for ulcerative colitis therapy, helping medical professionals identify the most effective treatment strategies for patients suffering from this chronic inflammatory bowel disease.
11
2026 Q3
  • ZAYA Pathology Platform US Launch We plan to launch the ZAYA Pathology Platform in the United States, bringing our innovative suite of Al-driven diagnostic tools and services to one of the largest healthcare markets in the world.
12
2026 Q4
  • CE-Mark Software as a Medical Device We aim to obtain the CE Mark certification for our software as a Medical Device (SaMD), demonstrating our commitment to meeting the highest standards of safety and performance in the European market. This certification will enable us to further expand our presence in Europe and provide our cutting-edge AI solutions to even more healthcare professionals.

Token Sale Dates

IDO

Start date: Sep 16, 2024
End date: Sep 18, 2024

IDO

Start date: Jan 10, 2025
End date: Jan 10, 2025

IDO

Start date: Jan 13, 2025
End date: Jan 15, 2025

IDO

Start date: Jan 13, 2025
End date: Jan 13, 2025

Token Allocation

Presale Token Supply 11,860,000 ZAYA
Total Token Supply 100,000,000 ZAYA
Total Tokens for Sale 19,860,000 ZAYA

Restrictions

Residents of the following countries are prohibited from participating
Afghanistan, Angola, Azerbaijan, Bahamas, Bosnia and Herzegovina, Botswana, Burundi, Cambodia, Cameroon, Canada, Chad, China, Congo (Congo-Brazzaville), Cuba, Democratic, Republic of the Congo, Eritrea, Ethiopia, Ghana, Guinea, Guinea-Bissau, Haiti, Iran, Iraq, Laos, Libya, Madagascar, Mozambique, Nicaragua, North Korea, Pakistan, Serbia, Seychelles, Somalia, South Sudan, Sri Lanka, Sudan, Syria, Tajikistan, Trinidad and Tobago, Tunisia, Turkmenistan, Uganda, United States of America, Uzbekistan, Vanuatu, Venezuela, Yemen, Zimbabwe.

Token distribution


1,86% - Seed Sale
2% - Private Sale
4% - Strategic
4% - Kommunity-KOLs
8% - Public
5% - Marketing
20% - Liquidity (DEXs/CEXs)
25% - Staking Rewards
7% - Innovation & Research
7% - Advisors
5,64% - Team
10,5% - Treasury

Token Price and Payment Options

Token price USD 1 ZAYA = 0.15 USD

Project team

Cristian Mogodici
Cristian Mogodici
Co-Founder & CEO
Cristian Mogodici linkedin-team
Sabina Zurac
Sabina Zurac
MD, Phd
Sabina Zurac linkedin-team
 Cristiana Pop
Cristiana Pop
MD, Phd
Luciana Nichita
Luciana Nichita
MD, Phd
Luciana Nichita linkedin-team
Mirela Cioplea
Mirela Cioplea
MD
Mirela Cioplea linkedin-team
Alexandra Cioroianu
Alexandra Cioroianu
MD
Alexandra Cioroianu linkedin-team
Liana Sticlaru
Liana Sticlaru
MD
Liana Sticlaru linkedin-team
Petronel Mustățea
Petronel Mustățea
PhD
Petronel Mustățea linkedin-team
Mihai Bușcă
Mihai Bușcă
MD
Andrei Voicu
Andrei Voicu
Machine Learning Engineer
Andrei Voicu linkedin-team
Bogdan Ceachi
Bogdan Ceachi
Machine Learning Engineer
Bogdan Ceachi linkedin-team
Julian Dcruz
Julian Dcruz
Machine Learning Engineer
Julian Dcruz linkedin-team
Laurențiu Motoonu
Laurențiu Motoonu
Full Stack Engineer

Advisors

Carolina Alarco
Carolina Alarco
Cătălina Klumpner
Cătălina Klumpner
Martin Lammens
Martin Lammens
Martin Lammens linkedin-team
Aleodor Andea
Aleodor Andea
Christoph Westerteicher
Christoph Westerteicher
Heather Couture
Heather Couture

Social media

MVP

Industries

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