Emotiq is a next-generation blockchain with powerful scalability and privacy, combining the latest research in distributed ledger technology with an innovative natural-language approach to smart contracts.
NEXT GENERATION BLOCKCHAIN
Emotiq reimagines the role of smart contracts. Smart contracts are computer programs that detail the conditions under which a transaction or transfer of tokens will occur, and executes them accordingly. They are the user interface of the blockchain. These computers programs are only readable by computers, however, not humans, which limits their usefulness.
Through Ring, the Emotiq smart contract language, we offer a ground-breaking solution for non-programmers and those obliged to program by necessity. We make smart contracts readable and usable by humans.
Ring is smart contracts in plain English.
The Ring VM is a sandbox that enables Emotiq to experiment with smart contract implementations and users to explore and preview smart contracts, interactively, prior to committing them to the blockchain.
The Ring VM runs smart contracts written in the native Ring language as well as most, if not all, Ethereum contracts machine translated from Solidity. Those who program by trade may be well-served by Solidity, but may want to leverage Emotiq’s usability, functionality, or scalability.
Oracles allow smart contracts to interact with the outside world and are a vital part of the Emotiq platform and ecosystem. Oracles retrieve real-world data to provide results in answer to queries made by smart contracts.
Smart contract creators use oracles as pre-built components. Developers are incentivized to create new oracles through a pay-per-transaction model, in which the developer of the oracle is paid each time an oracle provides an answer.
Joel is a seasoned hacker and blockchain pioneer. He started his career on Wall Street and brings twenty-five years of diverse software engineering and management experience to Emotiq.
Joel was previously Chief Technology Officer at a Top 100 cryptocurrency and blockchain company, where he earned a reputation within the community for his fearsome execution power.
Joel has acted as Director of Prime Brokerage Technology at Deutsche Bank, has run offshore development teams, and has built many scalable and fault tolerant systems over the years. He now smashes technological boundaries and ventures deep into the unexplored frontiers of crypto to bring unique opportunities to Emotiq contributors.
VP of Engineering
Vladimir has over twenty-five years of experience in managing technology in fintech, telecom, and media companies. His pioneering credits include creating the first FidoNet node in Soviet Union, the first remote banking application using asymmetric keys cryptography in Russia, and the first ISP in Western Siberia.
Vladimir was CTO of the Russian stock exchange, where he created its trading system and network infrastructure. Vladimir has held executive roles at VEON (a telecom company with over two hundred millions subscribers), Sberbank (the biggest bank in Eastern Europe), Moscow City Telephone Network, Orange Business Services, Lucent Technologies, and Mail.Ru Group (the biggest Internet-media company in Russia).
Over his career, he has led and successfully delivered many cutting-edge projects, in addition to launching his own companies,
CPM and Cybertonica.
Emma Cooper is the Chief Operating Officer at Emotiq. Prior to joining the team, Emma worked for many years in counterterrorism for the US Department of Homeland Security, before which she was a lawyer in the US, specializing in private placements and corporate law. She graduated from Virginia Commonwealth University with a BS in Mathematical Sciences, and holds a JD from the University of Richmond School of Law.
David is literally a rocket scientist. Trained in theoretical and observational astrophysics, in addition to computer science, he brings an incomparable and extraordinary five decades of unique programming expertise to the table.
David has served as a Principal Scientist in the aerospace industry where he built airborne LIDAR systems for underwater mine detection, and was a Senior Scientist on the Raytheon ExoAtmospheric Kill Vehicle (EKV) program.
He is a true expert in numerous computer languages, including Lisp, and an authority on signal processing, image processing, guidance and navigation, radio-frequency and infrared target detection systems, and target tracking. He has twice addressed the European Common Lisp Meeting.
Shannon is a systems engineer who enjoys working on multidisciplinary projects. He spent much of his career as a research engineer at a national laboratory in the US, where he worked on a variety of applied research projects.
He was the Chief Developer of several technologies, including robotic teleoperation controls, real time FPGA-based video signal processors, and intelligent electric power conversion devices. Much of Shannon’s work has been focused on distributed agent-based systems.
His areas of expertise include machine learning, AI, Common Lisp programming, functional languages, cyber security, and data mining.
His research interests include the design of systems with inherent security and robustness, and navigation and categorization in ultra-large graph-based data sets with decentralized semi-autonomous agents
Paul’s career has spanned three decades of working in microprocessor electronics, compiler and operating system design, and running his own highly-successful software consultancy.
He has taken part in projects with companies such as IBM Canada, Mitel Corp, Cognos, and several start-ups, including Design Recovery Inc., Innovative Systems Group, JetLetter, Sable Technologies, and Alacrity Inc.
Paul has written papers for the ACM and IEEE on techniques for optimizing concurrency, and has open-sourced his work on converting diagrams to code using AI techniques.
Paul’s research interests include software engineering, visual languages, diagrammatic languages, and reactive software.
Mark brings over twenty-five years of professional Lisp programming experience to Emotiq.
He is a seasoned results-oriented software developer, architect, and technology leader with decades of hands-on entrepreneurial, technical, and management expertise in advanced software and product development.
Mark was a cofounder of Gensym and a co-architect of its main product, G2, one of the most commercially successful AI/Expert Systems products of all time.
In recent years, he has worked as a software developer and architect on many innovative projects, including an airline reservations system, a portable Internet satellite terminal, and a natural language understanding system.
Ever since cobbling together a distributed system to process data reduction on unused nighttime nodes of the Cornell astronomy network in the late 1980s, Mark Evenson has been involved in plumbing the depths of what is possible to compute across the Internet.
From modeling multi-party business process execution orchestration in description logic to hot-patching the hosting infrastructure for surging web traffic across the Western hemisphere, his work has repeatedly combined a future sketched by academic wizardry with the needs of the pragmatic now.
He is excited to solve the problems inherent in developing and deploying a decentralized, planetary-scale sharded ledger.
Anna is a proactive, dedicated, and detail-oriented corporate communications practitioner with extensive public relations experience in Europe and Canada.
She has worked on projects in industries as diverse as finance, sporting events, and film.
China Community Manager
Wen is the China Community Manager for Emotiq. With a deep knowledge of the Chinese cryptocurrency space and thorough understanding of blockchain projects, he provides the Emotiq team with expert regional advice, in addition to offering Chinese language support across all of Emotiq's social media channels.
Emotiq plans to raise $60M (million) through the combination of a private sale and a public token generation event (TGE). The fundraising target has been carefully selected to enable us to reach our development milestones and jumpstart the Emotiq ecosystem. Emotiq will generate one billion EMTQ tokens, distributed as follows:
Native EMTQ token
Strongly consistent, public blockchain;
PBFT atop collective
two parallel blockchains:
trust-but-verify transaction validation
Lisp smart contracts
Sharding via bias-resistant
Enhance pBFT performance
under Byzantine denial of service attacks
(state blocks) and
Ring (natural language)
UI console with interactive
MimbleWimble implementation, including secure purging of old and spent transactions
User-friendly UI for Ring and Emotiq development tools