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Speakers

Adam Harris

Myriad Wind Energy Systems

Agata Zborowska

Conception X COO

Dr. Alexis E. Block

Sephri Solutions

Alexander McKenna

LabZero

Anthony Bourached

Oxia Palus

Ehshan Veerabangsa

AdGenX

Jessica Birt

Concinnity Genetics

Jamie Dborin

TyTn

Jorge Del-Bosque-Trevino

Nanu

Kobi Felton

Lably

Martin Rebane

RobotNet

Mike Huang

Rigpa

Mohammed Alhamed

Awardee

Mohamed Ahmed

Discharge Solutions

Olivia Ash

Conception X Hub Manager

Riam Kanso

Conception X CEO

Sam Tukra

Third Eye Intelligence

Nick Venanzi

Amino AI

Natalia Zdorovtsova

Cerebrium Technologies

Yann FRACHI

OVOMIND

Zak Shabka

NP-Deep

Zeke Steer

Milbotix

Hosted by

Conception X

Conception X is a leading deeptech venture programme that transforms PhD researchers into venture scientists.

Startup Booths

AdGenX

AI-powered platform to generate personalised ads in real time

Amino AI

Optimising protein therapeutics development with machine learning

Awardee

Automation platform to help educators assess students

Cerebrium Technologies

A chain of gyms for your brain

Concinnity Genetics

Accelerating the design of genetic control systems using AI

Discharge Solutions

Reconfigurable plug-and-play space propulsion systems

Lably

A Saas tool to help scientists optimise chemical reactions

LabZero

Circular economy solutions to eliminate lab waste

Milbotix

Smart socks to address agitation in people living with dementia

Myriad Wind Energy Systems

Multi-rotor wind turbine systems

Nanu

Increasing cognitive performance during online meetings through AI

NP-Deep

Detecting zero-day threats in network systems with graph-based AI

OVOMIND

Real-time interaction with video games through emotions

Oxia Palus

Recovering lost art with AI and 3D printing

Rigpa

Fabless chip designs for faster, low-power performance

RobotNet

Deep learning-based indoor transportation system for hospitals

Sephri Solutions

Next generation robots with visual and haptic perception for social interaction

Third Eye Intelligence

Organ failure forecasting for at-risk patients

TyTn

Low-memory machine learning models for constrained environments