Revolutionizing negotiations with AI.
Collaborative decision-making with AI-powered communication for a sustainable and cooperative future.
Our Team
Dr. Steve Phelps
Dr. Steve Phelps
Dr. Steve Phelps
Dr. Phelps is a hands-on CTO with over 20 years of experience specializing in AI-driven platforms, data analytics, and, more recently, large-language models. He has a proven track record of leading, mentoring, and delivering strategic AI solutions in fast-paced environments, with a recent focus on the integration of LLMs. He is an a
Dr. Phelps is a hands-on CTO with over 20 years of experience specializing in AI-driven platforms, data analytics, and, more recently, large-language models. He has a proven track record of leading, mentoring, and delivering strategic AI solutions in fast-paced environments, with a recent focus on the integration of LLMs. He is an active contributor to open-source AI communities and a notable presence in the international research arena, presenting at leading conferences and blue-chips including Google DeepMind. Adept at aligning technology strategies with business objectives to drive operational efficiency.
Philip Good
Dr. Steve Phelps
Dr. Steve Phelps
Philip Good is an expert in climate change and environmental policy with over 20 years experience working in government, financial services and management consultancy. With a background in environmental law and economics, Philip was a climate change negotiator for the European Union at the UNFCCC and other international fora. He’s exper
Philip Good is an expert in climate change and environmental policy with over 20 years experience working in government, financial services and management consultancy. With a background in environmental law and economics, Philip was a climate change negotiator for the European Union at the UNFCCC and other international fora. He’s experienced in working on novel and politically sensitive policy areas, which required engagement with a wide range of stakeholders in government, business and civil society organisations.
Dr. Yvan Russell
Dr. Steve Phelps
Dr. Ruth Melville
Dr. Yvan Russell is a cognitive scientist with an interdisciplinary research profile. He has published research in behavioural economics, psychology, philosophy, and animal behavior. Currently, he is conducting research in machine psychology and the role and possible benefits of artificial intelligence in the future of human cooperation.
Dr. Ruth Melville
Dr. Kiran Kalidindi
Dr. Ruth Melville
Ruth was Programme Manager and Senior Research Fellow for Liverpool’s European Capital of Culture Research Programme, a major five-year programme developing measures for understanding and evaluating the economic, social and cultural impacts of culture-led regeneration, which is seen as setting a standard for cultural impact assessmen
Ruth was Programme Manager and Senior Research Fellow for Liverpool’s European Capital of Culture Research Programme, a major five-year programme developing measures for understanding and evaluating the economic, social and cultural impacts of culture-led regeneration, which is seen as setting a standard for cultural impact assessment in the UK. Ruth has 20 years of qualitative and quantitative research experience, and specialises in embedded research design, impact measurement and creative research approaches. She has an extensive track record in designing and supporting others to use a range of data gathering and analysis methods. These include: cost benefit analysis; economic impact assessment; and statistical modelling.
Dr. Rebecca Ranson
Dr. Kiran Kalidindi
Dr. Kiran Kalidindi
Rebecca's PhD in experimental psychology explored depth perception in natural human vision Rebecca’s work has a focus on drawing conclusions from complex quantitative data analysis, but she has a background and keen interest in qualitative methods as well, and feels that both approaches together create a rich story. She enjoys bringi
Rebecca's PhD in experimental psychology explored depth perception in natural human vision Rebecca’s work has a focus on drawing conclusions from complex quantitative data analysis, but she has a background and keen interest in qualitative methods as well, and feels that both approaches together create a rich story. She enjoys bringing these insights to a wide audience and getting people excited about the power of data.
Dr. Kiran Kalidindi
Dr. Kiran Kalidindi
Dr. Kiran Kalidindi
Dr. Kalidindi brings over a decade of combined expertise in data science and derivatives trading. His six years as a data scientist, paired with four years as a technical business analyst, have been marked by consistent project delivery and impactful results. Notably, he developed a machine learning solution that boosted revenue by $18
Dr. Kalidindi brings over a decade of combined expertise in data science and derivatives trading. His six years as a data scientist, paired with four years as a technical business analyst, have been marked by consistent project delivery and impactful results. Notably, he developed a machine learning solution that boosted revenue by $18 million for a major blue-chip company. Beyond business, Dr. Kalidindi contributes to academia with papers that apply machine learning and statistical analysis to human decision-making and medical treatments.
Professor Peter McBurney
Professor Peter McBurney
Professor Peter McBurney
Professor McBurney's primary areas of research are in AI and Computational Finance:
- Distributed ledgers, blockchain, smart contracts, cryptocurrencies, and ICOs
- AI applied to knowledge-intensive, regulated domains (law, finance, insurance, etc), and
- Agent communications protocols and agent-based simulation.
His work finds application in
Professor McBurney's primary areas of research are in AI and Computational Finance:
- Distributed ledgers, blockchain, smart contracts, cryptocurrencies, and ICOs
- AI applied to knowledge-intensive, regulated domains (law, finance, insurance, etc), and
- Agent communications protocols and agent-based simulation.
His work finds application in computational finance and economics, cyber conflict, and machine-to-machine (M2M) communications.