Humanising Autonomy

We envision a safe, pleasant, and human-centric world in which technology is built around people – not the other way around.

Our Story

Our five core pillars

We take our responsibility as the developers of a society-changing technology incredibly seriously. That’s why we follow a set of core pillars in how we operate as a company.

Human-centricity

Transparency

Performance

Diversity

Ethicality

Behind the technology

The building blocks of Behaviour AI

As people, we have the ability to combine natural instinct and learned behaviour based on previous experience to respond to a situation. We can understand the difference between a person leaning forward to pick something up versus falling over, and whether someone is running to catch a bus or jogging. We can even tell the difference between an accident or a deliberate movement.

Understanding the context of a situation requires cognition and awareness of the nuances in behaviour, intent, physiological placement, and velocity of action.

Yet, most machines are trained to work for binary and transactional automation – with little understanding of how and why people behave the way they do.

→ Read more On how we combine behavioural psychology, statistical AI, novel deep learning algorithms, and the world’s largest proprietary dataset of 1 billion human behaviours to understand, infer and predict the full spectrum of human behaviours.

Ethical and interpretable AI

Many AI companies run on a “black box” basis, which means that although you know the input and output of the technology, you won’t know how the actual technology works – or what leads to the output.

Humanising Autonomy works on a “white box” architecture, because we believe transparency is the future of technology and we strive towards interpretable AI.

This means you can trust the data and insights we provide, because you can track how and why our algorithm has come to a specific conclusion. This is critical when using our insight for functional safety assessments or regulatory compliance reports.

→ Read more About how we maintain an ethical and interpretable AI

A Diverse Team

Who we are

Creative, diverse and ambitious: our team sets the global standard of how machines understand people.

Representing more than 15 countries, our team at Humanising Autonomy comprises 41 of the brightest minds across business, behavioural psychology, data science, design, deep learning, engineering, policymaking, product development and strategy.

Our technology team holds PhDs in autonomous robotics, computer vision and vulnerable road user psychology. Our commercial and leadership teams have decades of experience working at Fortune 500, Blue Chip and global companies, including Bosch, Condé Nast, IBM, GE Healthcare, Panasonic, Qualcomm, Sony and Siemens. Our combined collective knowledge and experience allows us to build a powerful and ethical AI platform effectively and efficiently.

As one of the most diverse companies in the tech space, diversity and inclusion is not just a box-ticking exercise for us; it’s a genuine and natural priority for us all. We encourage a positive environment conducive to well-being, inclusivity, mutual respect and support for fellow employees, as well as clients, partners, contractors, contributors, temporary workers, job applicants and community members.

Everyone has a voice at Humanising Autonomy, and we work hard to create a safe space for everyone to feel comfortable and valued to share their opinions.

Leadership Team

Maya Pindeus
Co-founder, Chief Executive Officer

Maya envisions a world in which technology is built around people and has a positive impact on humans and society. With a deep passion for human-machine interactions, she is an architect, designer and engineer and holds degrees from Imperial College London and the Royal College of Art. Her work as a leading founder in AI and the technology industries has earned global recognition. She is a Forbes 30 under 30 awardee and contributes to the World Economic Forum and various industry alliances.

Raunaq Bose
Co-founder, Chief Technology Officer

Raunaq is an award-winning engineer with an interest in human interaction with technology and its effect on future society. With an MEng, MSc and MA from Imperial College London, his work has been showcased in New Scientist, Forbes and Fast Company. Prior to co-founding Humanising Autonomy, Raunaq led the R&D at femtech scaleup Elvie, where he was involved in the creation and launch of its first product.

Leslie Nooteboom
Co-founder, Chief Product Officer

Leslie is an award-winning innovation design engineer with a vision to create a natural interface between people and machines. After training at Imperial College London, the Royal College of Art and Delft University of Technology, Leslie’s work on innovative human-machine interactions has earned him global recognition as an MIT European Innovator Under 35 and a member of the Forbes 30 Under 30 list. He also contributes to the World Economic Forum and European AI Alliance.

Kim Vigilia
VP, Marketing

Kim is a strategic leader with a passion for technology and its impact on the world. With roots in advertising, communications and behavioural psychology, Kim has cultivated a career in global marketing, product development, experiential design and business strategy. Prior to joining Humanising Autonomy, Kim co-founded a conference firm aimed at incubating nascent industries and built the events and experiences team and strategy at WIRED UK.

Anna Walsh
VP, Finance

Anna is an established finance leader and a qualified accountant with extensive experience at all levels, from small startups to global corporations, regions and industries. Anna has a particular interest in technology, diversity and challenging traditional structures to empower and promote women and minorities, as well as encouraging disruption and innovative thinking. Most recently, she worked as CFO for GE Healthcare North Europe.