About Tulpa
What we do.
// Tulpa develops safe AI assistants (co-pilots) to support and enhance human performance in high-stakes, mission-critical decision-making environments.
We enable high-performance, high-value, scalable workplace teamwork between humans and machines.
Why we’re different.
// By encoding and modelling human expertise as a springboard for transferring human wisdom to AI, our software-driven AI co-pilot agents accurately replicate advanced human decision-making, strategy, and actions.
Our AI agents are trained to be ‘sagacious’: exhibiting good judgement, being discerning, and deciding wisely.
Using causal AI, our co-pilots can be tasked to work autonomously – for example, through the night or in parallel with human teams. Our self-learning, co-pilot agents explain all decisioning, allowing users to understand and trust actions and fine-tune future behaviours.
Causal reasoning.
// More than just ‘what’ and ‘how’, but also ‘why’ and ‘what if?’
Causal reasoning drives considered, informed decisions. Imagine, for instance, managing critical infrastructure like an electricity grid...
Contact‘What’ and ‘How’ decisions maintain grid stability. The 'what' involves identifying the current state of the grid, such as demand levels, supply availability, and any anomalies. The 'how' includes the mechanisms available to address these conditions, such as adjusting supply sources, deploying energy storage, or putting into action demand response strategies.
The ‘Why’ question adds depth by considering the underlying motivations or objectives behind each action. The reasons might be optimising for cost efficiency, reducing carbon footprint, or mitigating risk during high demand periods. This 'why' ensures that decisions align with broader operational goals and sustainability commitments.
'What if' thinking is critical for anticipatory and strategic planning and involves simulating potential future states. What if a sudden demand spike occurs? What if a renewable energy source becomes temporarily unavailable due to weather conditions? This foresight enables the people responsible for keeping our electricity online to prepare for various contingencies, ensuring resilience and adaptability.
Proof of concept: Machine speed cybersecurity.
// Potential applications for Tulpa technology are global and include offensive cybersecurity (red teaming) and computer network protection for Critical National Infrastructure such as:
CIVIL NUCLEAR // CHEMICAL // COMMUNICATIONS // DEFENCE // EMERGENCY SERVICES // ENERGY // FINANCE // FOOD // GOVERNMENT // WATER // HEALTH // SPACE // TRANSPORT
Meet our senior leadership team.
International profile in national security and artificial intelligence. Senior Visiting Fellow at The Alan Turing Institute. Author of Cognitive Advantage.
LinkedIn ProfileCo-founder and CEO, Rich is a computer scientist and leader who has been part of the UK’s Defence & Security sector for most of his 25-year career. His book on AI ‘Cognitive Advantage’ has been cited by senior leaders and scientists in the UK and US defence sector as a groundbreaking approach to human-machine teaming. He is a Senior Research Fellow at The Alan Turing Institute, a Fellow of the Royal Society of Arts, a Fellow of the British Computer Society, and a Chartered IT Professional. He has a PhD in Complexity Science, a Master’s in Business Administration, a master’s in Nanotechnology, a Bachelor’s degree in Computer Science and a postgraduate certificate in Law.
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Successful track record in large programme delivery and innovation in defence, transportation and government sectors. Cybersecurity research Fellow at the University of Warwick.
LinkedIn ProfileCo-founder and Managing Director, Richard previously worked at Rebellion Defence UK, overseeing technical architecture, customer success and programme delivery. Prior to this Richard delivered a £200m investment programme for facilities and test methodologies for self-driving vehicles covering safety, cybersecurity and simulation. Before this Richard was Research and Innovation Director at Highways England where he restructured the R&I programmes to focus on more fundamental research and faster delivery of innovation including cloud hosted simulation and digital, machine readable policy. Richard started his career in defence and intelligence as an analyst before moving into crisis management/policy delivery, UKUSA research liaison and delivery of the first internal UK intelligence defence accelerator.
Leader of high-performing teams. Expertise in the design + implementation of innovative data solutions. Substantive knowledge of national security, telecoms and engineering sectors.
LinkedIn ProfileAs Director of Product and Engineering, Joe oversees our engineering and technical teams. Prior to Tulpa, Joe had 13 years’ experience in various technical analysis, development and leadership roles in the national security, telecommunications, cyber and engineering sectors. He has a solid track record of devising innovative solutions to challenging data problems. He works both hands on and leading teams to implement robust data products across geospatial data, graphs and machine learning, using petabyte-scale data, with a ruthless focus on delivering value to end users. Joe holds a Master of Computer Science degree from the University of Bristol.