“Data Is The New Oil”
For the first time in history, earn rewards by contributing data in the form of SYN tokens, which may be redeemed for services on the Synapse network or traded on most major exchanges worldwide.
SYN will be available to trade on many major exchanges, allowing you to trade it for your currency of choice, including but not limited to Bitcoin, Ethereum, NEO or USD.
Use the Synapse AI marketplace to immediately access data pools and machine learning models for your project, business or organization.
Until now, people have given their data away to companies in exchange for centralized access to application and services. Examples include uploading and tagging photos, tracking and sharing your location and access to purchase history, to name a few.
To provide a fair and balanced intelligence available to all equally, we must create AI economies that any agent can participate in and receive some reward for doing so. Enter Synapse AI.
Synapse AI solves this problem by tokenizing an agent's work on the Synapse AI market using SYN utility tokens, thus facilitating an economy between participants and transferring value to those participants. This accelerates a system that grows beyond the means of capacity of any one single company or organization.
By opening this data and using machine learning models through decentralized marketplace formats on the blockchain, and by tokenizing contributors, we can create syndicates that provide the greatest benefit to users everywhere.
Whether it’s a device that connects to media, an app or a web-based service, you consistently create data. Now you can choose which data you share in our decentralized data and AI marketplace, and be compensated for it.
The data that is available for purchase through our decentralized data and AI marketplace can be used to grow your business or organization no matter the industry you’re in, including but not limited to:
RadBots, Baqqer, Make:, e.Ventures
Dan is the world's leading expert in Decentralized AI Networks and created the Blockchain + AI movement. Dan's research involves machine learning, knowledge in multi agent systems, intelligent interfaces, and cryptocurrency/blockchain. Dan started programming at age 10, grew up in the hacking world, handled network security for mega corporations, and started in cryptocurrency in 2010.
Dan has additionally worked in venture capital as an EIR providing deal flow for cryptocurrency/blockchain companies.
Dan holds degrees in Electrical Engineering, and Computational Chemistry. Previous work has been with the National Center for Physical Acoustics, Make Magazine, e.Ventures, in addition to launching Baqqer, Asteria, Techendo, Pule, and others.
Kate Spade, LVMH
Katherine cut her teeth as hustler at a young age. She managed the Southwest market for Kate Spade New York, as the Visual Design Agent. After growing a strong narrative to penetrate local markets for Kate Spade, she was hired for LVMH to open their first luxury timepiece location in Dallas, Texas. Katherine was the youngest female LVMH had ever hired, she tripled their business in two months. Then, she got the California itch and move to the Bay Area to learn and grow. She now helps tell the Marketing story of Synapse. Katherine believes in a fair and just world, where Decentralized platforms may flourish. She is a part of the crypto community and is delighted to be working as a part of the Synapse team!
Rachel is in charge of managing all administrative tasks for executive staff. Rachel is new to the world of machine learning + artificial intelligence and is excited by the industry and dedicated to Synapse’s mission and plan. She has a background working at art institutions and galleries in San Francisco/Los Angeles: heading client relations, campaigns and reporting directly to the Directors.
She holds a Bachelor’s in Art History from Mills College and is a contributing writer at the online publications: Art Practical and Wine+Bowties.
Bundle Of Sticks Studios, Ulster University
Starting programming at a young age, Jamie has always be fascinated by data and technology, which led him into game development after college. Since then, Jamie has continue to learn and expand his insights into machine learning, crypto, and blockchain technology.
Jamie has a degree from Ulster University in Software Engineering.
Elizabeth is a world-class security expert that has done extensive security audits of smart contracts and dapps for many crypto companies.
Elizabeth wishes to keep her online footprint as small as possible and wishes to remain as anonymous as much as possible.
Travis is a former poker player who moved to the Bay Area to pursue Software Engineering. He’s been a Rails + Web Engineer for several years, working on a variety of ventures. His primary technical interests right now are blockchains and how they will impact society. Travis tinkers with creativity tools and mentors Solidity in his spare time.
A long-term illustrator and graphic designer, Gil prides himself on creating new and exciting designs each and every day. Gil has helped take Synapse's brand towards the future in this quest.
Author, Stanford, Institute for the Future
As a critic, writer and teacher, Howard Rheingold’s specialties are on the cultural, social and political implications of modern communication media such as the Internet, mobile telephony and virtual communities. His book Tools for Thought tells of the history of those who created the personal computer. About that same time he first logged in to an influential early online community called The WELL. That experienced is explored in his seminal book The Virtual Community.
Cardano, Language Engine
Darryl is a type theorist and functional programmer who is interested in AI and linguistic theory. She’s an advocate of using formal methods, especially dependent types and novel type systems, for building provably correct software. She has implemented a number of pure functional programming languages, including ones with temporal logic quasiquotation and delimited continuations. She also advocates for good documentation of software, especially literate documentation where possible.
Unbox Research, Primer AI, OpenAI, Google
Tyler has over a decade of experience developing machine learning systems for real-world applications. He built Google’s initial sentiment analysis engine. He also created robotics simulations for Open AI, developed natural language processing techniques for Primer AI, and co-founded the data science infrastructure company Zillabyte through Y Combinator. Tyler wrote the O’Reilly book Creating Solid APIs with Lua and has three patents focused on sentiment analysis. Tyler holds a Ph.D. in Applied Math, specializing in machine learning algorithms, from NYU.