Project Name
DATALATTE
Project Description
We empower internet users to monetize their own data and provide data scientists with access to non-identifiable users’ data using an AI Feature Store at an affordable price.
Final Product
not set
Proposal One Liner
We enable internet users to monetize their digital footprint on an anonymous, secure, and fair data marketplace and provide independent data scientists access to affordable, non-identifiable user data via an AI Feature Store.
Proposal Description
Our Head of Fundraising, Pedro launched Good Boy Foundation. Check it out:
https://www.goodboyfoundation.org/
Description of the project:
In a data-driven economy, there are two obvious pain points; those that affect data producers and those that impact data consumers.
The average web2 user receives no financial benefit or stake in the platforms that exploit them. Yet, tech giants profit handsomely from the sale of our data.
Since 2018, users (the data producers) have had the right to access personal data on all online platforms under the general data protection legislation (GDPR). Despite this, many users are still unaware of their right to digital sovereignty.
Meanwhile, start-ups and small businesses need to harness insights from their clients’ data to grow their businesses and acquire and retain customers. For independent Data scientists (the data consumers), it’s crucial to find reliable data to build robust AI models and capture actionable insights. However, limited access to high-quality data often constrains model performance and insights to meet business needs.
Our DATALATTE DApp aims to relieve these pain points by bridging the gap between data producers and data consumers. On the one hand, we empower internet users to reclaim and monetize their data anonymously. On the other hand, we provide data scientists with the opportunity to access previously inaccessible user data for a small fee. There are four core pillars at the heart of our platform: fairness, intelligence, community support, and usability.
What is the final product?
The DATALATTE is a DApp platform with two main stakeholders (Data Producers and Data Consumers), four core DATALATTEfunctionalities (Audit Store, AI Feature Store, Data Advisor and DATALATTE Catalog) and a Data Marketplace powered by Ocean Protocol.
Team
Core Team:
Hossein Ghafarian Mabhout (Amir), PhD, Founder, CEO
- Linkedin: https://www.linkedin.com/in/amirmabhout/
- 10 years circuit & system engineer, IEEE member
- 5 years web3 experience
Malaz Elnaiem, PhD Candidate, Communications Director
- LinkedIn: https://www.linkedin.com/in/malazelnaiem/
- 10 years of collective experience in Media & Communications
- 3 years of experience as a Digital Content Manager at Heed Media
Chiara Pasqualino, MA, Social Media Director
- LinkedIn: www.linkedin.com/in/ChiaraPql
- 2 years experience as PR Officer at GroupePixi
- 4 years experience as Digitial Content Manager at NewAdventures
Karolina Baltulyte, MA, CMO
- Linkedin: https://www.linkedin.com/in/karolinabaltulyte/
- 3 years of experience as a Social Media Strategist at Little Sun NGO
- 6 years of editing and filmmaking experience as a freelancer
Extended team and advisors:
Toktam Ghafarian, PhD, Co-founder, Head of AI development
- Linkedin: https://www.linkedin.com/in/toktam-ghafarian-3010a150/
- 8 years Assistant prof. in Computer Engineering and AI Dep. at Khayyam Uni.
- 5 years Head of Computer Engineering and AI Dep.
Amiro0o, Msc, Head Dev
- 5 years experience as a developer
- 3 years of experience in ML
Mezli Vega Osorno, PhD, Visual advisor
- Linkedin: https://www.linkedin.com/in/mezli-vega-osorno-13008/
- 3 years working at Apple as a creative in digital arts and user-friendly environment
- Freelancer in different art projects
Reza, Illustrator artist
- 10 years of commercial illustrating experience
Samare, Illustrator assistant
- 5 years of commercial illustrating experience
JJ, Msc, Core Dev, back-end
- 5 years of full-stack experience
- 3 years pipeline engineer
Amqa, Msc, Core Dev, back-end
- 5 years of full-stack experience
- 3 years pipeline engineer
Amirreza, Msc, Core Dev, Client-side developer
- 5 years of app and web frontend development
Yasin, Core Dev, Full-stack designer
- 3 years of design and UX
Mehran, Core Dev, back-end
- 5 years of full-stack experience
Grant Deliverables
Grant Deliverable 1: Twitter data pipeline and audit module
Grant Deliverable 2: Dashboard refactor
Grant Deliverable 3: Twitter verification module with Dashboard
Value Add Criteria
Metric: “$ Data Token Consuming Volume”.
The global data monetization market is expected to grow at a compound annual growth rate of 6.02% and is estimated to reach up to US$ 200 billion in 2021 [ref]. If we succeed in taking over at least 0.00000045% of this fast-growing market, this means we will be able to generate a total transaction volume of 90K$ (R9, R11, R12, R14 & R16 buck) to provide an ROI of at least 1.
Funding Requested
20000
Wallet Address
0x5c15608eFb12Ee43e4D8367247BED42dD884b5f7