Learn more about Advanced Computation Laboratory (ACL), our mission, our technology and the work we're undertaking.
Advanced Computation Laboratory (ACL) is a research and technology organisation focused on advanced computation, distributed systems, cybersecurity, scientific computing and next-generation software infrastructure.
Our mission is to develop technologies that help organisations securely manage data, automate complex workflows and perform large-scale computational tasks.
ACL was founded by Dominic Finch, a software engineer with more than twenty years of experience in distributed systems, financial technology, cloud computing and cryptography.
Dominic also studied Theoretical Physics at the University of Nottingham, helping shape ACL's long-term focus on scientific computing and research.
ACL develops advanced software platforms and computational infrastructure designed to support research institutions, businesses, engineers and public-sector organisations.
Our work focuses on secure distributed systems, scientific computing, cloud-based automation and advanced computational tooling.
Logos is ACL's distributed infrastructure platform.
It is designed to provide organisations with secure, auditable and resilient systems for managing data, governance, workflows and digital assets.
Logos aims to combine strong security guarantees with the flexibility required by modern enterprises and research organisations.
Aether is ACL's scientific computing and numerical simulation platform.
It is being developed to support researchers, scientists and engineers who require large-scale computational modelling, simulation and data analysis capabilities.
Aether's long-term goal is to make advanced computational research more accessible without sacrificing accuracy or performance.
ACL's technology is designed for a wide range of users, including:
No.
One of our primary objectives is to make advanced computational tools easier to use while retaining the flexibility and power required by technical users.
We aim to reduce complexity wherever possible without compromising capability.
Yes.
Research and innovation are central to ACL's mission. We actively explore new approaches in distributed systems, cybersecurity, scientific computing, computational modelling and emerging technologies.
Absolutely.
ACL is committed to supporting scientific and engineering research and welcomes opportunities to collaborate with academic institutions, researchers and students.
Yes.
ACL can provide expertise in software architecture, distributed systems, cloud infrastructure, cybersecurity, scientific computing and technical research projects.
Security is a foundational principle of our work.
We believe systems should be designed with security, auditability and resilience built in from the outset rather than added later as an afterthought.
Yes.
We believe AI will play an increasingly important role in scientific discovery, engineering and automation.
Our focus is on developing infrastructure and tooling that enables AI systems to operate securely, transparently and responsibly.
Potential applications include:
ACL combines expertise from software engineering, scientific research, cybersecurity and high-performance computing.
Rather than focusing solely on research or solely on commercial software development, we aim to bridge the gap between scientific innovation and practical deployment.
Our goal is to build technologies that are technically rigorous, commercially useful and worthy of trust.
We welcome conversations with researchers, engineers, organisations, potential partners and individuals who share our interest in advanced computation and technological innovation.
If you would like to discuss collaboration opportunities, please contact us through the website.