Aleph Zero is a peer-reviewed DAG platform that’s scalable, fast, and developer-friendly.
It’s a Proof-of-Stake public blockchain with private smart contracts built by a world-class team that aims to reach mass adoption of Distributed Ledger Technology.
Aleph Zero achieves 100,000 TPS in a fully decentralized system. We’re running the tests with Amazon Web Services on 128 nodes across 5 continents.
Aleph Zero is a first decentralized Directed Acyclic Graph (DAG) with a large, rotating, random committee.
Customize functionality for automation and programmable, private contracts.
Simple value transfers are, and always will be, free.
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The Aleph Zero Consensus Protocol has been officially peer-reviewed and accepted for publication in the conference proceedings of Advances in Financial Technology 2019.
Common is the first product we’re building on top of Aleph Zero. It’s a Decentralized Exchange and a Decentralized Dark Pool — first of its kind.
Easily sync your application to Aleph Zero’s ledger.
Application Programming Interface (API) hooks that allow for a seamless integration into InterPlanetary File System (IPFS) as well as proprietary data solutions.
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Aleph Zero ecosystem consists not only of the consensus but is also capable of synchronizing with other blockchains and running smart contracts, as well as a truly trustless universal wallet — which we call Common.
Aleph Zero is an ecosystem that consists of:
A peer-reviewed, DAG-based protocol
Decentralized file storage / IPFS
Scalable, self-executing, private smart contracts
Decentralized Exchange (DEX) and a Decentralized Dark Pool
Information bridge between the external world and the Aleph Zero ecosystem
Aleph Zero solves all the industry challenges.
You, the community, can focus on the applications now.
Our team consists of 20 people, including 5 math and computer science PhD’s. The list of our previous accomplishments includes ACM ICPC World Finals, first prize in International Mathematics Competition, and Simons-Berkeley Research Fellowship.
Business experience: IBM, ABB, Stellar, Codewise, Capgemini, ING Bank, Admind Agency, TIBCO Software, and Riverbed Technology.
Earned a Ph.D. in Mathematics in the field of Numerical Algebraic Geometry from Colorado State University. A Simons-Berkeley Fellow and also an IBM Center of Excellence Fellow in High Performance Computing at Oak Ridge National Laboratory. Has been actively involved in the DLT space since 2014. Has provided consultation to numerous projects related to security and consensus models, cryptographic schemes, as well as applying sound business and technological models for projects in the DLT space.
Studied Computer Engineering at the Chalmers University of Technology, where he also served as a board member of the Chalmers Computer Club. Studied Network Engineering at Mälardalen University with a focus on tier 1 networks. Involved in the blockchain space since 2014. Developed a variety of novel ideas connected to the DLT industry. Worked as a computer and network engineer with Internet Service Providers and hosting companies for over 10 years. Highly skilled in Project Management.
Received Ph.D. in mathematics for his work on applications of probabilistic method in combinatorics. During his doctoral studies, he was a beneficent of a SET project for interdisciplinary research and SSDNM fellowship for mathematical sciences. While his main domain is combinatorics, he is open to new technologies and has 4 years of experience in data science and machine learning applied in neuroscience research. He has been working as a freelance consultant in various areas spanning from mathematical modeling to deep learning.
Technology marketer with 10 years of professional experience. Involved in various public relations and content creation projects for ING, Samsung, Sony, Olympus, and Nikon. Antoni gained experience at the Corporate Communications department of ABB in Zurich while employed at Admind Agency. Before joining In’saneLab as VP of Marketing, he worked as an inbound marketer for Brand24 and Codewise, the 2nd-fastest growing company in Europe according to The Financial Times, Now, he spends all of his time working for Aleph Zero.
Received Ph. D. in Pure Mathematics for his work in the field of Infinite-Dimensional Geometry of Banach spaces and a Bachelor of Computer Science—both at Jagiellonian University in Krakow. Has been focused on applying his skills in new technologies such as Deep Reinforcement Learning, Machine Learning, and Neuroscience. Now, he is fully focused on Distributed Ledger Technologies that combine Mathematics and Computer Science in a new way. Fascinated by the vast possibilities and potential impact of this emerging field.
Studied at Aalborg University in Denmark, with masters focused on Design Thinking and Best Practice Design within the Internet of Things. Actively involved in the DLT domain since early 2017, with hands-on experience in IT administration and Project Management for large Danish academical institutions. Run a usability lab for the University of Copenhagen.
A Swiss national with 10+ years spent working with firms such as Credit Suisse, LeasePlan, Steiner AG, and Calltrade among others. He is an experienced C-level executive with finance and economics expertise, fintech and DLT included. Helps to establish a long-term asset management and investment plan for Aleph Zero.
Obtained a double major Master’s degree in Mathematics and Computer Science at the University of Wrocław. Recently defended his Ph.D. thesis in Computer Science at École Polytechnique fédérale de Lausanne (EPFL). The main topics in his research are discrete optimization problems and convex programming. For more than 15 years Damian has been active in the competitive programming scene. In 2013 and 2014 advanced to ACM ICPC World Finals — the World’s most prestigious programming competition — first as a participant and then as a team coach. Involved in organization of several large programming competitions.
Pure Mathematics Ph.D. (2016) and Computer Science M.Sc. (2014) obtained at the Jagiellonian University in Krakow. Received numerous mathematical awards and honours, such us the Paul Bruckman Prize for the best lecture at the 17th Fibonacci Conference and the first prize in International Mathematics Competition in Blagoevgrad, Bulgaria. In 2018 achieved 1st place at the Benelux Algorithm Programming Contest. Two-times finalist of the Algorithmic Engagements (2015, 2016). Top 5% in TopCoder and top 1% in CodeForces rankings. Joined Aleph after working at Booking.com.
Graduated from Jagiellonian University in Krakow with MSc in Theoretical Computer Science and BSc in Theoretical Chemistry. Worked as a researcher at several European universities (Jagiellonian University, VU University Amsterdam, Leipzig University) investigating a wide array of topics: category theory, formal languages theory, graph theory, computational quantum physics, and quantum molecular modeling. Over the last few years, he has been involved in the design and development of commercial software for high performance scientific computing.
Graduated from Jagiellonian University in Krakow with MSc in Theoretical Mathematics. A Ph.D. candidate in Machine Learning. Holds a heavy interest in technology-based drug design. Thinks that the emerging technologies—especially Machine Learning and Distributed Ledger Technologies—will influence the society the most in the near future.
Achieved an MSc in mathematics and a BSc in computer science at Jagiellonian University in Kraków. Fascinated by artificial intelligence, machine learning, and formal reasoning. Jumped at a chance to work with modern and innovative technologies at Aleph to hone his mathematics and programming skills.
Graduated from Jagiellonian University in Kraków with MSc in Computer Science. Currently, a Ph.D. candidate in Theoretical Computer Science in the field of computational logic and asymptotic properties of lambda calculus. Worked both as a software engineer and researcher at several big IT companies like IBM, ABB, and SolarWinds. Interest in Distributed Ledger Technologies emerged as a result of recent research in the field of the distributed consensus and thanks to the teaching of t he Distributed Systems class at the Jagiellonian University.
Marketing expert based in Poland, with over 15 years’ experience in design and nearly 10 years’ experience in creative direction and team management roles. During his career he overseen integrated marketing campaigns across emerging channels (print, digital, social media) and was leading rebranding and design efforts for large-scale, corporate identity systems. Most recently Creative Marketing Director at Codewise – provider of AI-powered online ad measurement and management solutions for digital marketers.
Worked as a head of the production and manager at event agencies in Warsaw. Collaborated with such brands as McDonald’s, Jacobs, and Google. Involved in several NGO projects. Handles even the most difficult situations with calmness. A sense of humor, smile, and self-control are the most important things in her work. Graduated from the University of Silesia, Film Production Organization.
Marketer with over 6 years of experience in social media and content marketing. Graduated from AGH University of Science and Technology. Has been involved in projects varying from the automotive industry to branding, recruitment, and tech. Helped to build one of the biggest automotive communities and YouTube channels in Poland. Was a part of Admind, a branding agency working closely with ABB, as well as worked as a Content Product Manager in Codewise, and as a Marketing Manager in First Engineers.
Max has 8 years of financial planning and analysis experience at various Tech companies in Silicon Valley. He has managed $800M+ in revenue and 500+ HC budgets while working closely with all levels of the organization. He is an extroverted Finance professional that is passionate about Tech and it’s positive impact to people’s lives. At Aleph, he is our in-house crypto market expert bringing into context the high-level market trends but also managing the day to day financial operations and investor relations.
