Transforming Public Sector with AI: Enhancing |
Transforming Public Sector with AI: Enhancing |
Leading AI-driven advancements for enhanced security, efficiency, and strategic excellence in the public sector.
Introducing Applied Data Science Partners
Welcome to Applied Data Science Partners (ADSP), a leading consultancy specialising in AI and Data Science. We have a proven track record of delivering bespoke AI solutions across various sectors, including public sector and defence. Our mission is to empower government agencies and public sector organisations by enhancing efficiency, improving security, and enabling informed decision-making through cutting-edge AI and data science applications.
Trusted by Leading Public Sector Entities
We have collaborated with renowned public sector organisations and agencies to deliver innovative AI solutions that drive efficiency and improve public services. Notably, we have developed several solutions for the Greater London Authority, LocalGov Associations, the UK Parliament, and worked on the optimisation of satellite design for the European Space Agency (ESA), showcasing our expertise and reliability.
Defence Sector Excellence
ADSP was selected by Dstl through the Serapis programme to deliver the keystone demonstration project for the Autonomous Resilient Cyber Defence (ARCD) programme. Our approach has been validated with 14+ successful projects delivered for the Ministry of Defence (MoD). We will be showcasing our work and expertise at DPRTE 2025.
Empowering Defence and Public Services with Bespoke AI
Cybersecurity
ADSP uses advanced reinforcement learning to train AI systems for defending networks against diverse cyber threats. By simulating various attack scenarios, our AI systems continuously improve defensive strategies, enabling real-time threat detection and mitigation, ensuring robust network security for defence operations.
Multi-Agent Reinforcement Learning
Our Multi-Agent Reinforcement Learning (MARL) work develops collaborative AI agents to optimise defence operations through coordination, scenario analysis, and adaptive learning, particularly effective in large-scale simulations and strategic planning.
War Gaming
ADSP's war gaming projects simulate potential military scenarios to aid strategic planning and decision-making. These AI-driven simulations help defence planners understand and predict outcomes, evaluate tactics, and develop robust defence strategies, ensuring preparedness and tactical advantage.
Our Frameworks and Trusted Partners
ADSP and the MoD
Over the past few years, ADSP has successfully delivered several AI projects for the MOD, playing a pivotal role in advancing AI and ML techniques in cyber defence. Our key contributions include:
LLM Agents for Cyber Defence: A Zero-Shot Approach
Task 37: Investigated using LLMs as defence agents to reduce reliance on traditional training methods, demonstrating a 90%-win rate on specific environments.
Task 32: Aims to review the evolving LLM landscape, focusing on reducing latency and expanding memory options to enhance agent performance.
A Generalist RL Agent for Cyber Defence
Task 18: Demonstrated the creation of a single, versatile agent capable of effectively operating across multiple cyber environments.
- Task 40: Created adaptors to streamline RL projects and demonstrate the potential to integrate and analyse various RL models efficiently.
Minimum Viable Product (MVP) Agent Integration
Task 8: Implemented the first integration of a pioneer agent into complex environments, leading to the demonstration of an ML cyber defender outperforming a rules-based agent developed with a human analyst.
- Task 19: Showcased that RL could learn to handle more complex simulation environments, achieving a milestone in addressing the Sim-to-Real challenge.
Decoy Agents: A Generative Approach to Deception
Task 36: Explored the efficacy of using Large Language Models (LLMs) to create realistic decoys to deceive attackers and deflect from intended targets.
Talk-To-Your-Components: Human Programming Interfaces
Task 38: Demonstrated LLMs equipped with retrieval augmented generation (RAG) to interpret complex cybersecurity data into human-readable output.
Probabilistic Graphical Models for Agent Planning
Task 49: Implements a probabilistic graphical model to allow the agent to select actions with a higher likelihood of success, anticipating outcomes.
Data Efficient Reinforcement Learning
Task 17: Proved the ability for the Self-Predictive Representations (SPR) technique to generalise better to unseen tasks more effectively than traditional RL techniques.
Defence Environment Simulations
Task 28: Enabled testing and validation of defence agents in complex cyber environments, enhancing adaptability and effectiveness.
Extending Reinforcement Learning Capabilities
Task 50: Focuses on extending and developing proof-of-concept agent and environment adaptors, enabling other groups to utilise the adaptor functionality.
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From strategic planning to full-scale implementation, we ensure that your AI initiatives deliver higher value and successful outcomes.
Secure by Design
Quality and Security Certifications
Building solutions is serious business in the modern day. That's why we're proud to be certified by the British Standards Institute (BSI) in both Information Security (ISO 27001) and Quality Management (ISO 9001).
Achieving ISO 9001 underscores our commitment to delivering high-quality AI solutions with consistent excellence across all projects. ISO 27001 certification demonstrates our dedication to maintaining the highest standards of information security, ensuring the protection of client data.
Thought Leadership
Why choose ADSP for Data Science Consulting?
Thought Leadership
At ADSP, we offer a deep understanding of generative AI models, from the technical details of their architectures to the practical applications and customisation strategies that drive real-world value and impact. We are uniquely placed to guide and support you in harnessing the power of generative AI, empowering your organisation to thrive in an increasingly competitive landscape. ADSP is co-founded by David Foster, author of the bestselling O'Reilly textbook Generative Deep Learning.
David Foster
Founding Partner, ADSP
Frequently Asked Questions
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