Environmental pollution is the world’s biggest invisible killer. It costs global healthcare systems over $20B annually due its impact on cardiovascular and respiratory disease. Ambify are an environmental health technology company empowering individuals and organisations with the ability to reduce the impact of pollutants on health.

They develop IoT solutions for real-time, individual monitoring of known environmental risk exposures and have developed their first wearable prototype. Ambify are piloting their devices with the leading health and safety organisation and two leading construction companies.

Ting Lye has 5+ years of experience implementing data-driven health solutions for Fortune 500 companies across the US, Europe, and Asia. She holds an MPhil in Bioscience Enterprise from Cambridge and was a Presidential scholar at the University of Southern California with degrees in Business and Neuroscience.

Nyasha Japondo is an electronic and hardware engineer with experience working across organisations such as BAE Systems and multiple start-ups. An expert in designing electronic sensor devices from concept phase through to qualification. He holds a MEng (Hons) in Computer Systems Engineering from the University of Kent.

Dairy farming is hugely unsustainable. It’s a leading contributor to greenhouse gas emissions and a majorly inefficient use of resources. Plant-based alternatives also aren’t good enough. They are inferior in terms of flavour and nutrition and have limited usability as food ingredients.

Better Dairy uses synthetic biology and yeast fermentation to produce dairy products following a similar process to brewing beer. Our products, molecularly identical to traditional dairy, seamlessly plug in to existing recipes and supply chains. We have taken to the lab and already produced our first results.

Jevan Nagarajah has over nine years experience across banking and tech. This includes executing retail partnerships at Rocket Internet, building European ops for Ritual.co and founding a previous start-up (raised pre-seed and revenue generating). He holds a Mathematics BSc (1st Class honours) from Imperial College.

Christopher Reynolds has 11 years experience in academia, research and consulting. He completed a bioinformatics PhD and a synthetic biology postdoctorate at Imperial College. He has led projects to optimise protein expression in cells, directly relevant to our technology stack, and has published nine papers.

Over the last 20 years, while the rise of SaaS gave more capabilities to business users, it also created a challenge from a connectivity perspective. According to Forrester, the number of SaaS vendors will reach 1M in 2027, 10 times today’s number, making the challenge stronger.

Blendeez provides a low code orchestration platform where business users create business logic and workflow connecting internal and external apps.

Blendeez secured several paid POCs with clients, partnerships with software vendors and is backed by a top team of advisors with decades of experience in software.

Amine Lassoued holds a strong entrepreneurial background combined with a decade of experience in business administration (LVMH, L’Oréal, Salesforce…). In particular, he scaled HR, Operation and Sales teams. Prior to joining EF, he was managing Salesforce Business Development Department, Growth Market.

Jean-Philippe M’Fouilou has been a web developer for more than a decade and has started four companies. He had the opportunity to work in startups, medium, and big companies, overcoming lots of integration issues. Prior to joining EF, he was managing a team of developers within IBM.

Our digital world is increasingly reliant on realistic 3D humans. From film, games and VR interfaces to advertising and e-commerce. But current methods of photogrammetry are time consuming, expensive and rely on modelling a real person.

Carv3d generate new examples of unique digital humans that do not exist in the real world. They use proprietary deep learning methods that rely on data from real people, and explore new applications and business models with award winning games and animation studios.

Vasilis Katranidis likes to solve problems in new ways. From post-doc research on space propulsion and PhD in digital manufacturing, he has built and led teams for projects with Airbus D&S and Rolls Royce. In his spare time, he developed a 3D software which has been adopted by multinational manufacturers.

Shashitha Kularatna has completed a PhD in machine learning at the University of Bristol, where he developed cutting edge digital manufacturing software, now in use at world class research facilities such as the National Composites Centre. He is also a passionate game developer, with three Virtual Reality titles under his name, including the world’s first VR badminton simulation.

Cost/time efficiency and reproducibility are chemistry’s top two problems which affect up to 90% of all chemistry globally and waste up to 80% of R&D resource.

Chemastery are building an automation solution for the chemical laboratory which will quadruple the world’s manufacture and R&D capability. Their mission is to build the infrastructure for chemistry and make science more efficient and robust.

They have co-led chemistry with engineering projects for five years and have previously built a chemical automation solution which was published in Science. They also have a PoC and commercial pilots.

Anna Andreou is a chemical methodologist specialising in solving science problems. She holds a PhD in Chemistry from the University of Cambridge and with 10+ years of lab experience, she understands the workflow and problems of the customer. She has four years of start-up experience as a first hire.

Stefan Glatzel is the Jack of all trades. He holds a PhD in Material Science from the Max Planck Institute and has worked as a software and hardware engineer in various positions. He has six years of leading mechanical engineering experience, including three years as principal development engineer in a start-up.

Evidence of climate change is clear, yet CO2 emissions keep rising. Brands are now committing to tackle climate change to meet their consumers’ demand for climate conscious business. Contributing to carbon reduction projects is complex, costly and outside their core competency.

Contreeb’s solution is an e-commerce module that allows consumers to contribute to carbon reduction projects at checkout.

Contreeb have built an « API-first » designed product, and an integration for Shopify, the fastest growing e-commerce platform. In three months, they have already signed four paid contracts, with two live customers.

Ahmad Isber has five years experience in B2B sales, from the rollout of Dassault Systèmes’ go-to-market strategy to the development of a consulting company’s business unit. The last two years he was sales manager at Criteo. He brings his performance-driven mindset to make sustainability as a service happen.

Guillaume Rivals is a computer-science and AI engineer. After graduating from Ecole Centrale Paris, and during the last 10 years, he founded three start-ups in online media and ad-tech. He brings his data-driven mindset to deliver scalable solutions in the fight against climate change.

Developing a new drug today takes 15 years and $2B which is a massive public health issue especially when an outbreak occurs.

Deeplife uses deep learning to create digital twins of cells and predict, in silico, cells reaction to drugs, gene editing or environmental perturbations. With their proprietary technology, Deeplife saves up to four years for the identification of molecular triggers driving cells from a sick state to a healthy state.

Deeplife wants to shape the future of bio-engineering, starting today with the leaders in the pharmaceutical industry.

Jonathan Baptista, CEO of Deeplife, brings an extensive experience of managing international teams and multi-M$ budgets, with more than seven years spent in the aeronautics & defense industry at Safran. He is a 2nd time founder and holds an MSc in complex systems simulation from Ecole Centrale de Paris.

Jean-Baptiste Morlot, CTO of Deeplife, hold two MSc and a PhD in machine learning applied to genetics from Sorbonne University. As a pioneer in deep learning to decode sequencing data, he developed a unique approach to model biological systems integrating +2M proprietary

Immunotherapies leverage our own immune system to fight cancer cells and represent the cutting-edge of cancer therapy, but they can also cause toxic side-effects and patient deaths.

By integrating biophysics and cell biology, Exogene’s proprietary machine learning technology enables fast discovery of safer immunotherapies, at scale.

Exogene’s technology already outperforms the state-of-the-art, and they’re setting up pilots with the top European immunotherapy company and three academic institutions to validate and expand it.

Federico Paoletti is an award-winning Oxford Computational Oncology PhD whose doctoral research was featured on the cover of the EMBO Journal, a leading molecular biology journal. He previously worked at the World Health Organization where he spearheaded the assessment of novel cancer prevention strategies.

Andrea Mambrini is an award-winning Computer Science PhD. As a data scientist, he developed bio-inspired algorithms for the European Space Agency to send space probes to Jupiter, scaled the machine learning team of Portent.io to acquisition, and revolutionised the marketing strategy of Vodafone using deep learning

Automation works best for highly standard and high-volume processes. Hence, manual workers are still needed today in underserved industries with a high diversity of objects or small batches. However, finding labour for repetitive, physically-intensive tasks is hard and turn-over is skyrocketing.

Eyepick provide robotic workers as a service. These robots are aware of their environments and can autonomously perform tasks as any trained human in unstructured environments.

They have signed three paid pilots worth over 150k€, and successfully deployed our first beta-prototype on a production site.

Mehdi Adjaoue deployed autonomous museum guides in three countries before graduating from Mines. He was in charge of automating pick & place ops in a leading logistics company, tech lead at a football startup to develop real-time analysis of players through AI, and a machine learning lecturer at Polytechnique.

Flaime is revolutionising cloud gaming. Our rendering technology will enable content producers to deliver their games at scale, in AAA quality and on any device, at a fraction of the cost.

Market leaders (e.g. Google) are racing to build the Netflix of games, which will be disastrous for independent publishers. Our mission is to put the power back in the hands of developers by providing a cost effective and high-quality solution for delivering cloud content.

We are building a patent portfolio and are backed by world leading advisors.

Sharon Reid has 20 years experience in the entertainment industry and has been involved in gaming since the start of her career. From launching games on the first PlayStation through to productions that blur the lines of film and gaming, her work sits at the intersection of VFX, entertainment and games.

Dr Davy Smith is an AI researcher (PhD in neuro-evolutionary algorithm design), with a post-doc in interactive and adaptive broadcasting technologies (University of York, BBC R&D) and a background in creative practice (MRes Digital Media). He has also scaled AI start-up tech stacks.

Quality defects plague factories’ P&Ls.

Manufacturers cannot anticipate them and are limited to damage control, costing them 20% of their revenue.

Lynceus predicts in real time the result of quality tests, for each unit processed. Their unique tech relies on both Deep and Transfer Learning, allowing us to support sparse production data.

Lynceus deploys the power of neural networks on problems hitherto inaccessible to ML, reaching 10x the reliability of existing solutions. They kicked-off 4 PoCs with semiconductor manufacturers, reached unseen accuracy on production data and converted our first customer.

David Meyer brings in operational experience and drive acquired in the world’s most ambitious and fast-paced mobility start-ups, having defined, launched and scaled processes supporting millions of rides at Uber and Circ. As a former LEK consultant, he dealt with C-levels from blue-chip industrial firms.

Guglielmo Montone has a decade experience researching the most advanced AI techniques, specialising in Deep and Transfer Learning in both his PhD and PostDoc. He invented a Transfer Learning architecture re-used by Google Deepmind, and also launched an AI-powered process automation solution.

Chronic inflammation is one of the greatest health problems facing us. It prevents people from living their lives, and three in five of us will die from it. Inflammation is reversible without having to resort to therapies, but there is no accessible means of monitoring the biomarkers underlying it.

My110 are building a test for inflammation that is as simple as a pregnancy test. It allows the predictive markers for inflammation to be tracked.

Their app constructs a digital twin which recommends personalised diet, exercise and recovery approaches. They have a pipeline of pilot studies taking place this year with athletes and sports teams.

Alex Sheppard is a seasoned start-up CEO with a track record in successfully scaling medtech start-ups. He has four years’ experience in the diagnostics industry space having led two companies simultaneously from pre-seed to Series A, raising £6.5M and negotiating commercial partnerships with Samsung and Nikon.

Mona Kab Omir has a PhD in Chemistry with a specialism in nanomedicine, the detection of proteins, and their signalling pathways. She founded her own gene therapy start-up and has 12 years’ multidisciplinary research experience in biochemistry and materials science in industry and academic institutions.

Remote work is exploding, but employing people is a huge challenge for expanding companies. It’s prohibitively expensive, slow and complex to set up local entities to employ staff.

Omniprescent are centralising this complexity, building a global network of entities to employ their clients’ team members for them. Their software platform allows our customers to onboard staff anywhere in the world within minutes.

They’re already revenue generating and are operational in 3 countries.

In the future globally distributed teams will be the norm and talent will be onboarded worldwide on the Omnipresent platform.

Matthew Wilson studied Theoretical Physics in Oxford, graduating in the top 5%. He then worked as a software engineer and product manager. At 23, Matt turned down a full MBA scholarship to co-found a SaaS company where he led on Product, Tech and Ops and raised ~£1.3m.

Guenther Eisinger holds three Master’s Degrees and a PhD. He served for the Austrian Special Forces, rising to Major leading combat units in Afghanistan and Africa. He then worked in international crisis management and started a company developing software to enable organisations to operate in complex environments worldwide.

Industrial facilities like power plants and refineries spend over €100B every year in maintenance. And yet, there is one industrial accident every five hours in France alone. The reason: a poor knowledge of ageing facilities!

Samp creates safer industrial facilities by providing reliable knowledge for everyone. Starting from a scan of the site, they use Machine Learning to generate a data-enriched 3D model of the facility: an intelligent Digital Twin shared by all.

They are delivering two paid PoC for energy players in France and are engaging with major players across Europe.

Laurent Bourgouin has over 15 years of experience in the energy industry, delivering key roles for both facility operators and engineering firms. In his last role, he was Technical Director for Dassault Systèmes, leading the Digital Transformation of industry heavyweights like ExxonMobil, BP and EDF.

Shivani Shah holds PhD from French Nuclear Research Institute CEA, where she worked on developing solutions for applying Machine Learning to Large Datasets, which makes her uniquely positioned to build digital twins from the massive data gathered from the industrial sites.

80% of the internet is videos. Machines are not yet able to perceive videos the way humans do. As companies produce more content than ever before, they struggle to understand the complex information in their videos. Their current processes are manual, expensive, and unscalable.

Verchable makes videos intelligent. Their proprietary AI runs 150x faster than real-time, using low computation. They attribute contextual metadata to videos, enabling companies to search, analyse and commercialise their video libraries at scale. Currently, Verchable are developing pilots with three major media organizations to contextually understand their videos.

Abhi Arora ran partnerships and operations at Dubsmash, a video social network with over 200M users. He has extensive experience scaling early stage start-ups in San Francisco, Berlin, and India. He recently finished his MBA at University of Cambridge, and also holds a BS in Business from UC Berkeley.

Deniz Elitez was a leading Computer Vision research scientist at Aselsan, one of Europe’s biggest defense companies, where she was working on a $1B surveillance project. She’s built one of the world’s fastest Multiple Object Tracking algorithms running at 4000 fps, that forms the basis of Verchable’s technology.

Today there are $5.2T dollars worth of value at risk of cyber attacks, ranging from digital assets to physical and financial assets – with a combined $500B in losses in 2019 alone.

Current Defences heavily rely on manual labour and require constant updates while Cyber Criminals increasingly use automated tools to breach their targets.

X80 automatically generate new defences by anticipating future threats in a simulation environment. Their solution uniquely combines accuracy and speed – making it adapted to any platform, even IoT devices and high bandwidth servers.

Simon Janin is a tech entrepreneur who founded two companies. He worked for the Swiss Army Cyber Security department where he discovered a security vulnerability that affected more than 5 million servers worldwide. Simon invented a cryptographic protocol presented at the National Bureau of Economics.

Edoardo Barp is a mathematician and machine learning specialist. At only 19 he published a paper for which he built a simulation environment. He worked on Anomaly Detection, developed the Assistance and Object detection framework at Shift Technology and founded the largest Julia machine learning library.