Mimica builds self-learning automations for digital work. We’re building software that observes the user for a few weeks; derives the intent behind the clicks and keystrokes; and generates the automation automatically.

Tuhin Chakraborty is a software engineer who led engineering teams at LinkedIn and Pandora. He studied machine learning at Stanford, and holds a patent for a supervised learning model he developed at LinkedIn. He formerly founded a tech startup, which he built and licensed to Google.

Raphael Holca-Lamarre completed a PhD at the intersection of computational neuroscience and machine learning. Over a decade of research at McGill, ETH and TU Berlin, he developed the technical insights at the core of Mimica. He has won grants and awards, including Germany’s most highly regarded research scholarship.

Nivoda aggregates the world’s diamonds. They can be purchased from anywhere in a single checkout and, because we consolidate international shipping, delivery costs are reduced by an average of 75% for our customers.

David Sutton has spent the past 12 years gaining insight into every aspect of the diamond industry: wholesaling jewellery to stores; working in a retail showroom; and local diamond distribution in South Africa. He also co-founded Taylor & Hart online jewellery store, which is based in London.

Andre Woons previously co-founded Florin, which was rated the best peer-to-peer payment application in the Netherlands. He led a development team of 4 and was responsible for building the integrations with banks. He has the experience required to lead the development of the e-commerce, logistics and finance aspects of the business.

Construction projects are consistently and critically delayed, often because building credible schedules is a challenge beyond human capability. nPlan’s software uses machine learning to analyse construction schedules to determine where the biggest risks lie and then recommend improvements. We will become the global go-to method for construction planning that is both accurate and reliable.

Dev Amratia has worked for the UK Government where he led the national review on AI. Prior to that, he was a project manager with Shell and saw first hand how challenges in scheduling can make or break some of the most critical construction projects in the world.

Alan Mosca is completing his PhD at the University of London, where he has been researching deep learning theory and optimisation methods. Alan has also applied his skills working in quantitative finance roles in the city for seven years.

Octeract solves today’s unsolvable optimization problems. We are developing the first optimization software in history that can guarantee that the best solutions to large-scale, non-linear optimization problems will always be found. Our revolutionary technology employs a combination of massive parallelism, AI, and a niche field of mathematics: deterministic global optimization.

Nikos Kazazakis has 10 years of experience in optimization. He spent five years researching Deterministic Global Optimization (DGO) at Imperial College London, inventing the only known parallel DGO algorithms, and proving that it is possible to massively scale up DGO algorithms.

Gabriel Lau did a PhD in molecular physics at Imperial College London, and has extensive experience in numerical methods and local optimization techniques. He has also worked in the financial industry, which involved the development of a large scale electronic trading platform.

Panopy is a performance management platform that can identify and prevent unconscious bias, enabling managers to consistently progress the best talent. We do this by collecting sensitive data, applying sophisticated algorithms and through behavioural product design.

Harriet Wright spent the last four years leading client innovation at corporate learning business, Decoded. She worked globally with enterprise clients, developing products to execute their Future of Work talent strategy.

David Minarsch has a Ph.D. in applied game theory from Cambridge where part of his research focused on how social networks between agents affect their choices. Following academia, he was the first data scientist at Yoyo Wallet, where he developed a production-ready machine learning classification pipeline.

Papercup translates the voice track on videos so every creator can expand their reach to seven billion people. People who create videos optimise for one metric: number of views. They need to reach an international audience because English- speaking markets are saturated with content. Papercup solves this by auto-translating the voice track on videos using a groundbreaking approach that combines Bayesian neural networks and speech synthesis.

Jesse Shemen co-founded Deloitte’s startup incubator and investment arm and co-launched a new venture at Octopus Investments. He graduated summa cum laude from New York University Stern School of Business.

Jiameng Gao is a post-grad from Cambridge with two Master’s degrees in speech processing and machine learning. He was the first employee at Calipsa (EF6), where he built the company’s machine learning and cloud architecture.

Plumerai is making small machines intelligent by enabling them to use the power of deep learning locally and in real-time. We do this by using a new type of deep learning, called Binarized Neural Networks.

Roeland Nusselder has two Bachelor’s in Physics and Mathematics and a Master’s in Mathematics from Utrecht University. He researched Efficient Deep Learning algorithms at the Dutch National Research Institute for Mathematics and Computer Science, which led to several peer-reviewed publications.

Taras Iakymchuk has five years of industry experience in hardware design, a PhD in Electronics from the University of Valencia and a Master’s in Electronics from Wroclaw University of Technology. He has over ten peer-reviewed publications on implementing neural networks on FPGAs.

Plural AI is  building an intelligent research assistant to solve the fundamental frustration of knowledge professionals: that search engines and databases only provide raw data. Our product allows them to pose questions in plain English, and delegate the drudgery to our technology.

Camille Rougié has eight years’ experience in finance (investment banking and PE). She spent two years at fintech startup MarketInvoice, launching new products worth £1m+ to the business. She holds an MSc in Economics and Finance from Sciences Po (Paris) and read Linguistics at Oxford.

Jaron Collis holds a PhD in AI from Queen’s University Belfast. He left an award-winning research group to lead development at several tech startups, and has two decades’ experience building natural language and knowledge-based systems. He passionately believes work should be for machines.

PolyAI is democratising conversational AI to give machines a voice. We have developed a proprietary framework which collects annotated dialogue data at a fraction of the cost paid by our competitors. Our product is sector-agnostic, seamlessly scaling across different apps and languages.

Nikola Mrkšić was the first technical hire at VocalIQ, a machine learning startup acquired by Apple Siri in 2015. He holds a PhD from Cambridge.

Tsung-Hsien (Shawn) Wen is a well-known machine learning researcher who previously worked at Google Brain and IPSoft. He holds a PhD from Cambridge.

Pei-Hao (Eddy) Su is an award-winning reinforcement learning expert who previously worked at Facebook AI Research. He holds a PhD from Cambridge.

Blockchain technology has given rise to the most exciting asset class of the 21st century. However, for professional investors it is almost impossible to get exposure to cryptocurrencies. Prime Factor Capital has solved this problem by launching an institutional-grade investment fund.

Nic Niedermowwe holds a PhD in number theory from the University of Oxford. He was an energy derivatives trader, and previously founded a successful market-making business that provides liquidity to crypto exchanges.

Michael Wong spent 11 years at Blackrock where he was a portfolio manager leading the systematic fixed income asset allocation team. He brings the rigour of institutional fund management and his deep insights into investing to the space. Michael holds an MSc in Finance from London Business School.

TokenAnalyst is providing transparency to the crypto industry. We parse and classify every transaction on the blockchain using cutting-edge unsupervised clustering techniques. This allows us to derive data-driven insights that enable institutional investors to fundamentally value cryptoassets.

Sid Shekhar has previously built enterprise -grade internal analytics systems at GE. He studied Computer Science at Cornell University and Machine Learning at UCL, where he won the departmental award for obtaining the highest overall mark.

Jai Prasad has built scalable enterprise -grade financial technology at one of the fastest-growing fintech startups in the US, previously founded and took a startup from idea to 20K+ users and revenue, and has experience as a strategy consultant at Accenture. He holds degrees in Systems Engineering and Economics from the University of Virginia.