DECENTRALISED ARTIFICIAL INTELLIGENCE NETWORK
DAIN

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

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What will be the assets of the future biggest machine learning as a service provider?

DAIN is like a brain

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.

DAIN is like a brain

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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.

Our Mission

Democratize AI access

AI out-the-box. No restrictions on data, computational resources, knowledge or time to consume AI.

Clear monetization models

Create new data-based revenue streams without losing control, ownership or awareness of your model.

New business & relationship models

The exchange of exclusive assets and services between companies and their customers/partners.

Why DAIN is necessesary ?

AI entry barriers

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.

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Vendor lock-in and neutrality

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.

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Sustainability

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.

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What happens when Artificial Intelligence meets Blockchain?

DAIN is for you

We are creating an ecosystem made up of businesses and end users,
enabling unlimited B2B, B2C, B2B2C models

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You can sell your unused computing power from any kind of device or equipment, anytime, anywhere.

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Create artificial intelligence models through your data or with third-party data and sell these models to generate new revenue streams

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Apply existing AI solutions on demand with no limitations on computing capacity, knowledge or data

Let’s explore the benefits of the synergy between AI and blockchain

Solution benefits

DAIN gathers the lessons learned over the past decade and brings together the most cutting-edge technologies to offer a solution to existing problems.

Read Time Update

Reduce the costs of IaaS

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.

Cloud Based

Accelerate time-to-market

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.

No transaction fees

No transaction fees

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.

Instant operations

IoT and 5G ready

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.

Zero-Code Solution

Zero-code solution

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.

Protects the identity

Unlimited computing

Designed to put the power of a myriad of devices at the disposal of AI. Access computer resources easily, economically, elastically and on demand.

Zero-Code Solution

Confidentiality

Thanks to the latest and most innovative cryptographic techniques, all data and published solutions are completely confidential, even when shared among users.

Protects the identity

Certified solutions

Thanks to the properties and nature of AI algorithms, all delivered solutions are certified by an automatic machine-to-machine process.

We’re making a difference

We’re working on a set of new technologies to completely change the paradigm of decentralized computing in solving artificial intelligence problems.

Noesis Protocol

Novel scalable distributed ledger technology based on stressless DAG, allowing the demand-driven management of network congestion.

Recruitment Protocol

Anti-spam protocol based on t-threshold cryptography schemas, topology location testing and capacity testing.

Fractal Multi-Cast Propagation

Content-publishing protocol through flooding over P2P networks, enables network scalability while optimizing propagation time.

Quorum Confirmation

Security protocol against network forks applying voting statistical convergence to Byzantine fault tolerance.

Encrypted AI

Homomorphic encrypting mechanism that guarantees confidentiality of data used for model training and the generated models stored in blockchain.

Useful Proof of Targeted Work

Algorithm that allows the network’s computational resources to be used to solve real problems and certify them as proof of work.

Distributed Computing Framework

Speed up the identification of the best solution by allocating optimal computing power to solve your AI problems.

Secure Multiparty Computation

Enables trustworthy computation and content publishing in unsecured environments. Detect and manage malicious activities through roles based on game theory.

The Roadmap

We are just beginning, but everything is already mapped out and planned. Learn about our next steps.

2018 Q3

DAIN network conceptualized

2018 Q4

DAIN technical design complete

2019 Q1

Agreement with Universidad Pontificia de Comillas to fund a research project on DAIN

2019 Q2

DainWare funded

White Paper published
Funds raised from 8 angel investors
Advisor Board

2019 Q3

Agreement with SecondWindow to provide development workforce

We are here

2019 Q4

Token Private Sale
Telefónica & Eleven Paths LoI sign off

2020 Q1

IEO 1.0

Research Article Publication
PoC Industrial Use Case

2020 Q2

IEO 2.0 with additional exchanges for extended reach

2020 Q3

IEO 3.0

2020 Q4

Testnet launch

Concept Demo Release

2021

DainServices set-up

go-to-market service provider and integrator

DAIN MVP productive

The DAIN Team

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.

team

José Ramón García Luque

Co-founder & CEO
Cognitive & AI Architect at Sabadell Bank
José Ramón García Luque

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.

team

Luis Garcia San Luis

Co-founder
CIO at Deutsche Bank SAE
Luis Garcia San Luis

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.

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Carlos Díaz Conde

Business Development & Strategic Alliances
Carlos Diaz Conde

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.

team

Jesús García San Luis

CTO
CTO & Founder 8g Analytics
Technology Advisor LossLessLinen
Jesús Garcia San Luis

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.

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Luis Garcia Lorente

COO
Promptwave founder
(ICEX Innovation award)
Strategic Partner Advisor & Judge @Startup Europe Awards
Luis Garcia Lorente

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.

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Andrés Contreras Guillen

Head of AI Solutions
Andrés Contreras Guillen

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.

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Daniel Yume

CMO
Daniel Yume

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.

Research Team

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José Luis Gahete Díaz

Professor at Universidad Pontificia Comillas de Madrid ICAI-ICADE
José Luis Gahete Díaz

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.

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David Contreras Bárcena

Director of the Department of Telematics and Computing at Universidad Pontificia Comillas de Madrid ICAI-ICADE
Israel Alonso Martínez

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.

team

David Alfaya

Professor in the Department of Applied Mathematics of the ICAI School of Engineering
David Alfaya

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.

team

Alejandro García San Luis

Professor at Universidad Pontificia Comillas de Madrid ICAI-ICADE
Alejandro García San Luis

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.

team

Israel Alonso Martínez

Professor at Universidad Pontificia Comillas de Madrid ICAI-ICADE
Israel Alonso Martínez

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).

Advisory Team

Alex Puig
Identity Strategist & Self Sovereign Identity. Blockchain, Ethereum, Substrate, Rust & ZKP
Francesc Fajula de Quintana
Director Open Innovation at Banco Sabadell
Roberto Nuñez del Rio
Founder at Why? Training and HubIT Digital
Marcos De Pedro
CEO at myClouddoor
Covadonga Fernández
Director at Blockchain Observatory
José Salamanca
COO at UST Global España & LATAM
Jorge Alonso
General Director at Second Window
Ricardo Usaola
Regional Vice President - Iberia MuleSoft Sales at Salesforce
Valentin Galan
Channel and Alliance Regional Partner Director at Mulesoft, a Salesforce Company
Juan Boquera
Operations Manager at The Cocktail
Juan Antonio Sánchez Cañibano
Head of Digital Services Sales Specialists
Jorge Aponte
Influencer Blockchain & Crypto | Global Busines Developer