You can sell your unused computing power from any kind of device or equipment, anytime, anywhere.
DAIN is the next-generation artificial intelligence platform, a decentralized and geo-dispersed public computing network governed through blockchain and specialized in addressing and solving artificial intelligence problems
Just as electricity and the internet transformed everything, AI and blockchain will disrupt every industry in the next few years.
To spearhead this transformation, we are building DAIN.
DAIN enables the efficient utilization of computing resources from any device located anywhere in the world, without intermediaries, to solve complex computational AI problems. It rewards hardware owners and composes an AI marketplace where companies with the same needs can provide or discover solutions together.
How is DAIN comparable to a huge brain?
Any user can teach the brain how to perform certain tasks and subsequently ask for these tasks to be executed. Likewise, another user can ask for the same tasks to be executed, as long as the first user has instructed the brain to allow others to access this knowledge.
The brain will remember all the tasks it learns and continuously improve its performance of them. Eventually, it could perform any number of tasks simultaneously, with the sole limitation of its size. The brain has the potential for unlimited growth by adding more computing devices. Like a natural brain, it must consume energy to perform any task. In this case, the energy is the reward given to the device owners.
Ask the network for solutions to real problems using AI algorithms without the need for infrastructure, knowledge or technology.
Share your data with others to jointly create models that add value to your business. Keep your models updated at all times with current data.
All the work performed is stored and shared, creating an AI marketplace where any other user in the network can choose a previously performed task and execute it, paying royalties to its owner.
Out-the-box platform for the development and orchestration of artificial intelligence services, accelerating the creation of AI journeys through the composition of end-to-end processes.
Software capable of making decisions and executing actions independently, as well as interacting with other users of the DAIN network and external systems on behalf of a third party.
Federated domains allow a company to compose a pool of computational resources that prioritize its needs in the network.
DAIN is a safe space where all the actors of the ecosystem can put their resources and knowledge at the disposal of others and create new business and relationship models.
Despite its great impact on society and enormous demand, AI and its needs are difficult to understand. Businesses and professionals are not prepared for its large-scale exploitation. These circumstances especially affect the most traditional companies, which are at a disadvantage amid disruptive transformation. To ensure the fair, cheap and agile integration of AI in society, benefiting both companies and their customers, specific tools are needed that address these entry barriers.Click here to know more
Black box behavior makes it extremely difficult to audit AI. The models can introduce biases through data, deviating solutions from the desired outcome. Or biases can be introduced by model creators when the created models reproduce representations of reality that do not match their ideological interests. Unaudited AI services from cloud computing service providers increase these problems. It is necessary to give companies the opportunity to choose the most neutral and impartial solutions and avoid vendor lock-in.Click here to know more
Recent studies warn of the huge carbon footprint and the high consumption of electricity resulting from the current approach to Cloud, AI and DLT. Today’s data processing centers consume around 3% of the energy produced by humans, and the power consumption of bitcoin mining already surpasses that of Switzerland. It is not necessary to manufacture more dedicated hardware to cover the technical needs of both technologies. To ensure sustainability, we need to better utilize the resources we already have in a more efficient way.Click here to know more
We are creating an ecosystem made up of businesses and end users, enabling unlimited B2B, B2C, B2B2C models
You can sell your unused computing power from any kind of device or equipment, anytime, anywhere.
Create artificial intelligence models through your data or with third-party data and sell these models to generate new revenue streams
Apply existing AI solutions on demand with no limitations on computing capacity, knowledge or data
's of millions of game consoles
billion IoT devices
DAIN gathers the lessons learned over the past decade and brings together the most cutting-edge technologies to offer a solution to existing problems.
By using spare computing power, it eliminates the initial hardware investment from the IaaS cost equation. As it is a dispersed network, it does not need to cover cooling costs.
DAIN has a marketplace of AI models created by ecosystem users, allowing companies to share solutions and harness the potential of existing knowhow. Through data and knowledge-sharing, the time for new developments will be reduced exponentially.
DAIN is smart. DAIN can adapt to congestion and learn from the activity of its nodes to understand their motivations, preventing honest users from wasting their computing resources or paying transaction fees.
The absence of fees and the distributed computing model of DAIN allow very low capacity devices to be part of the network. This technology will leverage 5G connectivity and the wide heterogeneity of devices connected to the internet.
No expert knowledge is required to take advantage of its benefits. By using AI to design AI, non-tech citizens are enabled to start participating in the AI revolution.
Designed to put the power of a myriad of devices at the disposal of AI. Access computer resources easily, economically, elastically and on demand.
Thanks to the latest and most innovative cryptographic techniques, all data and published solutions are completely confidential, even when shared among users.
Thanks to the properties and nature of AI algorithms, all delivered solutions are certified by an automatic machine-to-machine process.
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We’re working on a set of new technologies to completely change the paradigm of decentralized computing in solving artificial intelligence problems.
Novel scalable distributed ledger technology based on stressless DAG, allowing the demand-driven management of network congestion.
Anti-spam protocol based on t-threshold cryptography schemas, topology location testing and capacity testing.
Content-publishing protocol through flooding over P2P networks, enables network scalability while optimizing propagation time.
Security protocol against network forks applying voting statistical convergence to Byzantine fault tolerance.
Homomorphic encrypting mechanism that guarantees confidentiality of data used for model training and the generated models stored in blockchain.
Algorithm that allows the network’s computational resources to be used to solve real problems and certify them as proof of work.
Speed up the identification of the best solution by allocating optimal computing power to solve your AI problems.
Enables trustworthy computation and content publishing in unsecured environments. Detect and manage malicious activities through roles based on game theory.
We are just beginning, but everything is already mapped out and planned. Learn about our next steps.
Agreement with Universidad Pontificia de Comillas to fund a research project on DAIN
White Paper published Funds raised from 8 angel investors Advisor Board
Agreement with SecondWindow to provide development workforce
Token Private Sale Telefónica & Eleven Paths LoI sign off
Research Article Publication PoC Industrial Use Case
Concept Demo Release
go-to-market service provider and integratorDAIN MVP productive
The DAIN team is made up of professionals with extensive experience in startups, entrepreneurship and large multinationals. We also are proud to have the support of collaborators from multiple sectors and the academic world.
José Ramón is Artificial Intelligence and Cognitive Architect at Banco Sabadell in Spain. He previously worked as a consultant, participating in multiple digital transformation projects in several financial institutions as well as in the design and development of innovative digital assets in technologies such as big data, IoT, AR, VR, mobile and blockchain. José Ramón defines himself as a technologist and dominates multiple disciplines. He has a bachelor’s degree in Telecommunications Engineering from University of Alcalá and a master’s in Intelligent Electronic Systems.
Luis is Chief Information Officer at Deutsche Bank Spain. Previously, he held different management positions at financial institutions and technology and consulting companies. After earning a bachelor’s degree in Computer Science and Engineering at Universidad Politécnica de Madrid, he completed his education at Instituto de Empresa and Yale University. Luis brings with him in-depth experience in transforming technology shops into highly complex and regulated environments and the adoption of new computing paradigms. Previously, he founded two startups in the cloud and mobile payments sectors.
Carlos holds a bachelor’s degree in Computer Science and Engineering from UPM and an executive master’s degree from Groupe HEC Paris. He has more than 15 years of experience performing management functions for business development and growth at multinationals in the consulting, technology, big data and analytics sectors, such as Ericsson, Steria, Amdocs and Pontis (a Sequoia company). Broad Europe business development experience in all aspects of new & existing business, sales, account development, startup ventures, alliances & partnerships, 'go to market' solution launch and planning and P&L responsibility.
Jesús, who has a bachelor’s degree in Computer Science from Universidad Politécnica de Madrid, has extensive experience in team management both at Repsol, where he has worked since 1993, and previously at companies such as Ernst & Young and Telefónica. His great leadership capacity has brought him notable success when directing projects of high technological risk for Repsol in the field of information technology in upstream, refining and petrochemicals. He has also supervised research and development projects for the Repsol Technology Center in the fields of computing and industrial mathematics.
Luis has been consistently committed to entrepreneurial activities since he began his career over 20 years ago. After gaining experience in C-level positions in technology and service companies, he began to specialize in corporate finance and fundraising for SMEs and startups. Soon after, he started working as a private fundraiser and collaborator with other corporate finance companies.
Serial Entrepreneur +10y of multidisciplinary expertise on startups and big corporations, developing and bringing disruptive solutions based on artificial intelligence and big data. Ex everis (NTT Data) Head of Artificial Intelligence and Robotics in the disruption innovation unit (NextGen) also Chief Hacking Officer at everis (NTT Data). Previously Head of Hyperloop Transportation Technologies Lab, also, worked as independent contractor for different biggest ICT companies.
Daniel transforms ideas into projects with the aim of validating them, making them grow and giving them the necessary traction to make them invoice, last or sell. With more than 1.2 million euros invoiced in different projects of Growth, Crowdfunding and funnels of sales, from Facebook to Google. It has launched two Startups. He has been Design Leader in Técnicas Reunidas and Business Leader in NTT Disruption.
PhD in Computer Engineering from Universidad Pontificia de Comillas, ICAI in 2005. He is a professor in the Department of Telematics and Computing of the ICAI School of Engineering. Currently, he is the coordinator of the master’s in Big Data Technologies and Advanced Analytics program. Previously, he was Director of the Information Systems Department, Head of Computer Engineering Studies and Head of Computer Engineering Studies and Promotion Coordinator at ICAI. His work areas are programming, big data, blockchain, communications and telematics.
Professor David Contreras Bárcena graduated from the ICAI School of Engineering at Universidad Pontificia Comillas in 1998. He obtained his PhD at the same university in July 2010. In 1998, he began teaching in the Department of Telematics and Computing (ICAI). His areas of interest are wireless communications, software development, deployment of cloud computing, IoT, big data and blockchain solutions. He is currently the Director of the Department of Telematics and Computing.
Bachelor's degrees from the Autonomous University of Madrid (UAM): Mathematics and Computer Engineering. Master's Degrees: Mathematics and Applications with specialty in Initiation to Mathematical Research and Research and Innovation in Information and Communications Technologies specialized in Computational Intelligence. International PhD from the La Caixa-Severo Ochoa Foundation Program. Currently teach as professor in the Department of Applied Mathematics at the Higher Technical School of Engineering (ICAI). D. Alfaya is exempt from participating in the project between 1/5/2019 and 12/31/2019 due to an exclusive research contract with the Higher Council for Scientific Research - CSIC.
Professor Alejandro García San Luis graduated from Universidad Pontificia Comillas in Madrid in 1991. In 1993, he began teaching at the E.T.S. of the ICAI School of Engineering at Universidad Pontificia Comillas, focusing on Computer Science in the area of communications. He has been Head of Studies in Computer Engineering Management (2001-2011), Head of Computer Systems Engineering Technical Studies (2004-2011) and Head of Computer Engineering Studies (2008-2011), positions held at the E.T.S. of the ICAI School of Engineering. His work areas are communications and telematics.
After completing his studies at Universidad Pontificia Comillas in 1998, Professor Israel Alonso Martínez began to teach Computer Engineering and Computer Technical Engineering at the ICAI School of Engineering, focusing on subjects in the areas of Databases and Operating Systems. He is currently a professor of Telematics Engineering (Telecommunications Engineering Program).