Architecting Autonomy

Weaving the economy of the future through research & development at the intersection of multi-agent systems and distributed ledger technology

Mission

statement

To enable radically greater personal and economic autonomy by putting open autonomous systems into everyone’s daily activities.
Valory is a team of scientists, engineers and creatives who seek to deliver world-leading, cutting-edge research, products and services at the intersection of multi-agent systems (MAS) and distributed ledger technology (DLT).
David Minarsch

Co-founder, CEO

David led the team which built the first framework for developing MAS in the DLT space. He has founding experience via Entrepreneur First and a PhD in Applied Game Theory from the University of Cambridge.

David Galindo

Co-founder, Chief Research Officer

David is a renowned scientist in the field of cryptography. He has served as an Associate Professor of Computer Security at University of Birmingham and holds the world record for number of votes in a live digital voting ballot.

Oaksprout the Tan

Co-founder, Growth

Oaksprout has made significant contributions to a number of cryptonetwork communities by developing well-used ecosystem tools, education sites and community building efforts.

8Baller

Ecosystem Manager - Developer Relations & DevOps

Adamantios Zaras

Machine Learning & Data Engineer

Adriano 

Ecosystem Associate

AL

Senior Crypto Engineer

Solidity Engineer

Ardian

Software Engineer

Camelia Cucolea

Brand Designer

David Vilela Freire

Senior Python Engineer

Gemma

Operations Coordinator & Founder Associate

José Moreira-Sánchez

Senior Cryptography Engineer

Mariapia Moscatiello

Research Scientist Coordinator

Michiel Karrenbelt

Python Engineer

Mohan Das

Frontend Engineer

Thomas Maybrier

Community Manager

Viraj Patel

Junior Python Engineer

Team

Trading Agent Competition with Autonomous Economic Agents

David Minarsch, Seyed Ali Hosseini, Marco Favorito, and Jonathan Ward

 

We provide a case study for the Autonomous Economic Agent (AEA) framework; a toolkit for the development and deployment of autonomous agents with a focus on economic activities. The use case is the trading agent competition (TAC). It is a competition between autonomous agents with customizable strategies and market parameters. 

Peer-to-peer Autonomous Agent Communication Network

Lokman Rahmani, David Minarsch,

Jonathan Ward

Reliable and secure communication between heterogeneously resourced autonomous agents controlled by competing stakeholders in a decentralized environment is a challenge. Agents require a means to find each other and communicate without reliance on a centralized party and participation in the system must be permissionless.

Autonomous Economic Agents as a Second Layer Technology

for Blockchains

David Minarsch, Seyed Ali Hosseini, Marco Favorito, and Jonathan Ward

 

The user experience of interacting with distributed ledger technologies (DLT) is fraught with excessive complexity, high risk and unintuitive processes. Moreover, smart contracts deployed in these systems are restricted to being reactive. These limitations have negative implications on user adoption and prevent DLTs from being general purpose.

Research

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Robust Subgroup Multi-Signatures for Consensus

David Galindo and Jia Liu

 

We introduce a new multi-signature variant called robust subgroup multi-signatures, whereby any eligible subgroup of signers from the global set can produce a multi-signature on behalf of the group, even in the presence of a byzantine adversary. We propose several constructions that improve multi-signature computation time.

Fully Distributed Verifiable Random Functions and their Application to Decentralised Random Beacons

David Galindo, Jia Liu, Mihai Ordean and Jin-Mann Wong

We provide a systematic analysis of two multiparty protocols, namely Distributed Verifiable Random Functions (DVRFs) and Decentralised Random Beacons (DRBs), including their syntax and definition of robustness and privacy properties. Our new DRB instantiations are extremely efficient and enjoy strong and formally proven security properties.

An Offline Delegatable Cryptocurrency System

Rujia Li, Qin Wang, Xinrui Zhang, Qi Wang, David Galindo and Yang Xiang

 

We propose DelegaCoin, an offline delegatable cryptocurrency system that uses trusted execution environments (TEEs) as decentralized "virtual agents" to prevent malicious delegation. In DelegaCoin, an owner can delegate his coins through offline-transactions without interacting with the blockchain network. 

Research

Peer-to-peer Autonomous Agent Communication Network

Lokman Rahmani, David Minarsch,

Jonathan Ward

Reliable and secure communication between heterogeneously resourced autonomous agents controlled by competing stakeholders in a decentralized environment is a challenge. Agents require a means to find each other and communicate without reliance on a centralized party and participation in the system must be permissionless.

Trading Agent Competition with Autonomous Economic Agents

David Minarsch, Seyed Ali Hosseini, Marco Favorito, and Jonathan Ward

 

We provide a case study for the Autonomous Economic Agent (AEA) framework; a toolkit for the development and deployment of autonomous agents with a focus on economic activities. The use case is the trading agent competition (TAC). It is a competition between autonomous agents with customizable strategies and market parameters. 

Autonomous Economic Agents as a Second Layer Technology

for Blockchains

David Minarsch, Seyed Ali Hosseini, Marco Favorito, and Jonathan Ward

 

The user experience of interacting with distributed ledger technologies (DLT) is fraught with excessive complexity, high risk and unintuitive processes. Moreover, smart contracts deployed in these systems are restricted to being reactive. 

Fully Distributed Verifiable Random Functions and their Application to Decentralised Random Beacons

David Galindo, Jia Liu, Mihai Ordean and Jin-Mann Wong

We provide a systematic analysis of two multiparty protocols, namely Distributed Verifiable Random Functions (DVRFs) and Decentralised Random Beacons (DRBs), including their syntax and definition of robustness and privacy properties.

.

Robust Subgroup Multi-Signatures for Consensus

David Galindo and Jia Liu

 

We introduce a new multi-signature variant called robust subgroup multi-signatures, whereby any eligible subgroup of signers from the global set can produce a multi-signature on behalf of the group, even in the presence of a byzantine adversary. We propose several constructions that improve multi-signature computation time.

An Offline Delegatable Cryptocurrency System

Rujia Li, Qin Wang, Xinrui Zhang, Qi Wang, David Galindo and Yang Xiang

 

We propose DelegaCoin, an offline delegatable cryptocurrency system that uses trusted execution environments (TEEs) as decentralized "virtual agents" to prevent malicious delegation. In DelegaCoin, an owner can delegate his coins through offline-transactions without interacting with the blockchain network.

A Practical Framework for General Dialogue-based Bilateral Interactions

Seyed Ali Hosseini, David Minarsch, Marco Favorito

 

For autonomous agents and services to cooperate and interact in multiagent environments they require well-defined protocols. A multitude of protocol languages for multi-agent systems have been proposed in the past, but they have mostly remained theoretical or have limited prototypical implementations.

Autonomous Economic Agent Framework

David Minarsch, Marco Favorito, Seyed Ali Hosseini,

Yuri Turchenkov, Jonathan Ward

The Internet and the services delivered via it are increasingly centralised on a few monopolistic platforms. Today’s web frameworks are conceived to cater for increasing returns to scale and winner-takes-all business models with a built-in asymmetry between users and services. 

News

1

12.10.2022

Valory raises $4M to unlock software-driven autonomy for blockchain apps

Valory AG, the developer of autonomous software systems, said today that it has closed $4 million in seed funding to fill the gap in crypto infrastructure between decentralized Web3 apps and centralized services with the help of open-source tools.

2

11.10.2022

Autonomous services to power next-gen apps for crypto users and DAOs

‘Autonomy’ is a buzzword used to sell everything from self-driving cars to text and image-generating AIs. Today, such apps are centrally owned and controlled. Users yield control to opaque algorithms and forfeit their private data.

3

24.08.2022

Leveraging Autonolas to enable an autonomously controlled Smart Managed Pool

4

11.05.2022

Enabling Autonomy in DAOs: David Minarsch & Oaksprout the Tan - Autonolas | Chorus One Podcast

In this episode, we talk to David and Oak from Autonolas. Autonolas has been conceptualised with a vision to 'make DAOs autonomous again'. It does that by providing a software stack to help DAOs with their off-chain operations and also with the help of an

on-chain protocol.

Investors

Team

David Minarsch

Co-founder, CEO

David led the team which built the first framework for developing MAS in the DLT space. He has founding experience via Entrepreneur First and a PhD in Applied Game Theory from the University of Cambridge.

David Galindo

Co-founder, Chief Research Officer

David is a renowned scientist in the field of cryptography. He has served as an Associate Professor of Computer Security at University of Birmingham and holds the world record for number of votes in a live digital voting ballot.

Oaksprout the Tan

Co-founder, Growth

Oaksprout has made significant contributions to a number of cryptonetwork communities by developing well-used ecosystem tools, education sites and community building efforts.

8Baller

Ecosystem Manager -Developer Relations & DevOps

Adamantios Zaras

Machine Learning & Data Engineer

Adriano

Ecosystem Associate

AL

Senior Crypto Engineer

Solidity Engineer

Ardian

Software Engineer

Camelia

Brand Designer

David Vilela Freire

Senior Python Engineer

Gemma

Operations Coordinator & Founder Associate

José Moreira-Sánchez

Senior Cryptography Engineer

Mariapia Moscatiello

Research Scientist Coordinator

Michiel Karrenbelt

Python Engineer

Mohan Das

Frontend Engineer

Thomas Maybrier

Community Manager

Viraj Patel

JuniorPython Engineer

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