Humanising Autonomy’s latest Series A funding will power how we change the human-machine interaction

The problem with automated interaction today

Walking down the street, picking up your groceries, driving to a neighbours’ house, looking at an advertisement or commuting into work - at every step, people are interacting with machines  more than ever before. Our society is laden with automation meant to make life simpler. However, these machines fundamentally don’t understand human behaviour, making what should be a smoother interaction a more frustrating one. This lack of human context leads to inefficient decisions by the machine, uninformed operational strategies by the business responsible for them and, ultimately, a poor experience for us as people. 

Behaviour AI works with people to alleviate the frustration between humans and machines. Predictive algorithms empower smarter decision making that understands and anticipates human behaviour from camera images in an ethical way. This can be applied in any scenario with an automated, autonomous or semi-autonomous system. Fleets outfitted with Behaviour AI experience a 10X reduction in false positives for forward collision warning and blind spot detection. Deploying Behaviour AI onto any pre-existing CCTV camera system means a deeper understanding of how roads and pedestrian pathways are used, optimising the use of space for more intuitive design. Behaviour AI means more effective advertising, what if out of home marketing could yield measurable results? 

All of this ultimately means safer roads for people - making Vision Zero a reality, galvanising the deployment of fully autonomous vehicles, spurring the adoption of autonomous technology in any environment. These are only some of the applications applicable in our world today. The world of tomorrow encompasses an entire new set of possibilities: autonomous transportation systems, industry 4.0, smart home and retail, to name a few. Now, businesses can better evaluate and extract insight from their data by teaching their machines to understand human behaviour. As a result, any human/machine interaction is instantly made safer, more efficient, effective – and importantly, more human.

What’s next? 

Though the obvious applications for Behaviour AI are around advanced driver assist systems and dash cams for fleets, many new and exciting markets can massively benefit from Behaviour AI. Advertising effectiveness, smartphone applications, as well as construction and warehouse safety can not only be improved with the use of predictive behaviour analytics, but can allow for new insight to be gathered where previously there was none.