Companies

Chattermill enables companies to put customer experience at the heart of their business. We capture customer feedback at scale and turn it into actionable insight. Under the hood, we use cutting edge natural language processing and machine learning to extract valuable information from free form comments.

Dmitry Isupov has a degree in Mathematics from Bristol and a background in quantitative marketing working with clients such Jaguar Land Rover.

Mikhail Dubov is a full-stack developer with a degree from Cambridge and background in data analytics, having worked at Citigroup.

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.

Circuit Mind is using AI to completely automate the design of electronic circuits. Every year £40bn and 1.5bn hours are spent globally in tedious and repetitive circuit board design work. We are building extremely complex artificial intelligence that takes in the requirements for a circuit board and outputs the circuit board final design, ready for manufacture. This means better circuits, designed orders of magnitude faster, at a fraction of the cost.

Tomide Adesanmi is an electronic systems engineer with a Master’s from the University of Leeds. He spent over four years building high integrity AR displays for pilots at BAE Systems. His expertise in complex systems design is central to Circuit Mind’s technology.

Basilio Gentile has two Master’s degrees, including one in Electrical Engineering, and a PhD from ETH Zurich with a focus on mathematical algorithms for complex systems. He declined postdocs at Harvard and Berkeley to start Circuit Mind. His mastery of high-performance algorithms is at the core of Circuit Mind’s solution.

Cleo is an A.I. assistant to manage your finances. Using machine learning we automatically classify your transactions, deliver relevant insights into your spending and give you a clear overview of your finances. And users can get all of this, just by sending Cleo a text.

Rather than creating a bank, Cleo sits on top of existing infrastructure to give our users an elegant and user-friendly banking experience. By integrating APIs for banks and other financial service providers, Cleo aims to become a hub for each user’s banking activity.

ClickMechanic is a marketplace for car mechanics. The service is underpinned by Europe’s first industry standard car repair quote engine. The system uses millions of industry data points combined with data mapping, cleaning and machine learning to provide greater transparency and trust to the car repair process

Andrew Jervis has a Masters Degree in Enterprise and Innovation from The University of Manchester, and previously worked in banking. He previously started an automotive parts aggregator which he sold prior to joining Entrepreneur First.

Felix Kenton has a Masters in Information Systems from Imperial and previously started a gaming company.

CNC milling machines are at the heart of manufacturing with almost half a trillion dollars’ worth of components produced by them each year. Despite this, their software is in the dark ages. We’re researching and applying breakthrough AI methods to control these machines automatically and more optimally than ever before, revolutionising how the things around us are made. Our mission is to make milling machines one click devices that can produce a part easily, efficiently and with minimal human intervention, effectively halving the cost of their use.

Theo Saville has a master’s in manufacturing and mechanical Engineer from Warwick. He has worked in weapons development, surveillance equipment development for policing and counter-terrorism, industrial 3D printing research, as a freelance engineer, and in door-to-door sales.

Chris Emery has a master’s in computing from Imperial College London. He has been programming since he was 12, and started selling shareware when he was 15. He co-created “EventBox”, which was acquired by Realmac Software. He then worked as a software engineer at Google, before leaving and founding and selling Five Sided Software.

Passion economy is the future witth ~60 million creators and experts across social platforms trying to monetize their skills and talent.

However, tools to build an online business for solopreneurs are completely fragmented, expensive, and complicated. It takes anywhere between 2-14 days and US$1000 to set one up and costs another US$200/month to manage.

Cocoon makes it ridiculously easy for creators to launch and manage their brand, community, and business from one place, for free.

Within 2 months, Cocoon has signed up over 100 creators, with a combined reach of over 5 million followers, on their waitlist.

Abhimanyu Godara has 13 years of combined experience across consulting, venture capital, and startups in the US, Europe and Asia. He has built and scaled multiple products that have touched millions of users and grown to six-figure ARR. He has also led a 20 person team in his previous startup and raised funding from marquee investors.

Atul Yadav is a full-stack engineer with more than 10 years of experience in building and scaling world-class SaaS products across multiple domains. He has worked with many startups and micro-entrepreneurs from ideation to growth phase.

Code Kingdoms wants to inspire kids to learn one of the essential creative skills of the 21st Century – coding.

Code Kingdoms allows kids aged 6 to 13 to learn computational thinking by designing their own game levels with real JavaScript code, and then sharing them with friends. This also promotes essential skills like problem-solving, teamwork and time management.

CodeReg makes regulatory change in finance as simple as a software update. Financial institutions face a mountain of regulation. Manual processes can’t handle the complex, interwoven and shifting rules, exposing firms to massive fines and costing billions to change systems in response. Our compliance engine automatically verifies and monitors financial compliance. We can provide real-time compliance insight and flag any potential breaches before it’s too late.

Samuel Watts spent four years in quantitative finance, building and advising on regulatory systems for both major European banking supervisors and financial firms. He holds Master’s degrees in Maths and Mathematical Finance from the Universities of Warwick and Oxford.

Stacy-Ann Sinclair spent a decade building high-frequency trading systems and globally scalable data infrastructure for three tier one investment banks. As a VP at Bank of America Merrill Lynch, she led development of a unified platform for MiFID II compliance. She has a CS degree from City University.

Today’s developers, especially if they are junior, struggle to on-board and maintain the source code they work on. 60% of their time is dedicated to understanding it. This is because code is complex and 80% of the knowledge base attached is outdated. As software underpins 9 out of 10 companies, this induces a $200B loss per year.

CodistAI reduces the time taken to understand code by a third. We gather all insights developers need on one platform and keep them automatically up to date. We do this by applying machine learning to code. We have 10 pilots with companies and schools covering 15k+ developers.

MAËLIZA SEYMOUR
Maëliza has been an IT project manager at global banks for 6 years. She saw first-hand the burden of complex source code on business productivity. As she double-graduated in machine learning, she has a rare perspective on coding practices, business stakes and the potential of AI.

SHUBHADEEP ROYCHOWDHURY
Shubhadeep holds an MA in Computer Science. He has been a Software Developer, a Machine Learning Engineer for more than 15 years and CTO of his previous company. An internationally published author on Data Science, he is also a very well known figure in developer communities.

Connectify.AI will improve customer service compliance for healthcare providers by analyzing and responding to voice conversations.

Profit margins for healthcare operators have been halved between 2007 to 2017, and will continue to decline to 3.2% by 2022. To combat this decline, operators have resorted to spending $30B globally on marketing channels to boost patient volume. Nevertheless, the conversion of patients depend on the front desk staff, who currently convert only 25% of their callers into appointments. Our Voice AI software will extract voice conversations and provide valuable insights to front desk staff to boost patient conversion. We already have 5 pilot projects in Singapore.

Unnikrishna Menon is a Dental Surgeon from NYU. Unni has an MBA from NUS. He owned and managed a dental practice in Philadelphia for 12 years before moving to Singapore. He was also a portfolio manager for a PE fund that bought a $24M dental group in Vietnam.

Sankar Seramani is a machine learning expert and telecommunications engineer with a Master’s in signal processing from NTU. He has 12 years of experience in audio/image processing from NUS and A*STAR.

Context Scout is a research-led software company developing new information retrieval and machine learning based approaches for web search, automated professional assistance and task based IR. After raising their seed round in 2016 they’ve expanded their team to include PhDs on topics such as NLP, knowledge representation and deep learning.

Marc Sloan has a PhD from UCL in Information Retrieval and is the author of the book ‘Dynamic Information Retrieval Modeling’. He has published extensively on the topic of predictive web search, including during his time working at Microsoft Research.

Andy O’Harney holds a Master’s in Machine Learning from Glasgow University and worked on computational neuroscience for the Medical Research Council and Medical University of South Carolina before joining fintech startup Singletrack. Marc and Andy met on EF and started Context Scout.

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.

Converge is a hardware and software platform that works with existing sensors to store, analyze and display their data, automatically, in real­time. We charge a subscription fee per connected sensor, and a fixed fee for any hardware and installation.

Raphael Scheps is a Cambridge trained theoretical physicist, with years of experience in large-scale data analytics at Mellanox and the Weizmann institute.

Gideon Farrell is an astrophysicist from Cambridge with 10 years of software experience. Gideon has worked on Intel’s pioneering IoT project, WISP.

Growth Factors (GF) are molecules used in the clean meat and cell therapy industries. Both industries suffer from the same problem: the sky-high cost of GF at 2M€/g.

With the GF market predicted to grow by 1-2 orders of magnitude in the next 3-5 years, this is a massive opportunity.

Core Biogenesis are using plants as biofactories to produce GF 10x cheaper.

They use proprietary gene editing and plant biotechnology to drastically reduce the cost of making GF.

They have already signed a €250k contract with a pharmaceutical company and have more than 15 companies waiting to test our molecules in their pipeline.

Creative AI gives every business the power of a dedicated marketing team – what use to take them hours, now takes them just seconds. They currently use machine learning to automatically create social media posts, and they’ll later start optimising other marketing activities.

Yazan Al Alami has founded and grew 2 marketing companies, where he helped local and global brands 10x their reach and engagement on social media. He graduated with a Master’s in engineering from Imperial College London.

Lukas Dirzys is an expert in optimised image and text generation and he won the Google Prize for the best Master’s dissertation at the University of Edinburgh.

Credit Kudos is a challenger credit bureau developing a Financial Behaviour Score based on real-time financial data. The company recently became the first of its kind to receive full authorisation from the FCA as a Credit Reference Agency. The Credit Kudos platform gathers information from your online banking to determine your suitability when applying for financial products.

Matt Schofield and Freddy Kelly met studying Computer Science at the University of Manchester. Prior to founding Credit Kudos, Matt was leading Data Science teams for Universal Music Group (UMG) and CTO of UMG’s music discovery platform, SpinnUp. Freddy joined Bitnami (YC W13) after graduation where he was responsible for development of their cloud launchpad, deployed initially for Microsoft and later a number of other cloud vendors including Google, Amazon and VMWare. Freddy went on to be the first engineer at A16z backed financial analytics platform, TXN.

CreditMint is decentralising corporate lending. The corporate debt industry is migrating from a bank-led model towards smaller lenders. But these new-wave lenders are tied to constant cycles of reconciliation, and trading is slow and expensive. Furthermore, companies lose track of their creditors and the market is structurally illiquid.

We fix this using a public blockchain as the shared ledger for corporate debt. We provide a dealmaking platform; a trading layer; and a settlements facility, all communicating with one digital asset on Ethereum.

Crypto Squad helps traders create and manage crypto funds. Blockchain technologies are helping democratize fund management. Crypto enthusiasts are setting up informal investment pools made of friends and family. These investment pools are insecure and unregulated. Funds are stored with the pool manager, making them an easy target for hackers. They operate in legal gray areas. Investors have no mechanism to track fund performance and remain crypto illiterate. Pool managers are unable to monetize and scale.

Crypto Squad help traders quickly and securely setup these investment pools. Our proprietary wallets let investors mirror trades performed by the manager, while maintaining asset custody. Startup investments, bonds and many other financial instruments will soon be tokenized. Crypto Squad will become wealth management everyone can understand and access.

Anthony Wilson received a masters in computer science from Imperial College London. He’s a three time CTO and has advised Chinese state-owned enterprises on how to use blockchain for supply chain management. He’s been developing blockchain applications for six years.

There will be 20 billion connected devices by 2020 in buildings, electric grids, transportation systems and other critical infrastructures. This creates huge security risk. We develop quantum cybersecurity products in the form of hardware and software which harness the best of both worlds, combining cutting edge quantum technologies with the best of modern cryptography. Our products are safe, secure, and can be integrated into existing network infrastructure with minimal disruption.

Shahram Mossayebi has a PhD in Post-Quantum Cryptography from Royal Holloway University of London. He also has an Information Security Master‘s degree. He has written scientific papers on the security of modern cryptosystems against quantum adversaries.

Patrick Camilleri has a PhD in Neuromorphic Engineering from Otto-von-Guericke University in Germany. He worked at Philips Semiconductors Zurich where he designed semiconductor chips for mobile phones. Most recently Patrick was a Postdoc at the University of Manchester where he researched parallel computing.

Data Hygge helps companies spot, prioritise and solve experience issues. Bad online experience is costing companies £62 billion. From broken buttons to long support wait times, there are thousands of potential issues. But no one way for companies to find them. We’re building a product that monitors customer touch points, automatically detects experience issues using machine learning, and gives companies the right information to fix them.

Mikkel Dengsøe spent 5 years at Google leading data science for customer experience. He has honed his machine learning techniques using the largest database of websites in the world.

Mario Hayashi has a Master’s in Computing from Imperial College London. He built the analytics platform at Nimble Storage, handling petabytes of data. He has also led product development at multiple startups.

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