Accelerated Dynamics use machine learning, planning and multi-agent technologies, to transform drones, autonomous cars, satellite systems, and IoT devices into AI controllable assets which no longer require human operators. Our aim is to ease and promote the use of collaborative robots (aerial, ground or underwater) for business to enable the 4th Industrial Revolution.

Mantas Gribulis is a Robotics Engineer with a Masters degree in Robotics and Artificial Intelligence from KCL. His areas of expertise are Artificial Intelligence, Scheduling and Planning and Robot Operating System. His Master’s thesis at KCL, titled, “Intelligent Planning for Unmanned Aerial Vehicle Systems” integrated cutting edge A.I. planning techniques into Robot Operating System to simulate fully autonomous UAV behavior in mission critical scenarios.

Umar Javed Wani has a Masters degree in Robotics, Systems and Control from the highly prestigious ETH Zurich. He has a bachelors degree in Mechatronics Engineering. Umar has worked with some of the top researchers in the field of Robotics and Artificial Intelligence, such as Prof. Rolf Pfiefer and Prof. Fumiya Iida, during his stay at ETH Zurich and has authored research papers on topics such as autonomous wheelchairs and soft sensors.

AccuRx is developing data-driven diagnostic software to eliminate inappropriate antibiotic use and tackle antimicrobial resistance (AMR). AMR is one of the greatest societal threats, currently responsible for 700,000 global deaths each year, with this figure projected to rise to 10 million deaths by 2050, and a 3.5% hit to GDP. We solve this by combining decision support, behavioural science and data science, and starting in primary care.

Jacob Haddad read Engineering, Economics and Management at Oxford. He has led healthcare projects in quality improvement, performance improvement and outcome based commissioning.

Laurence Bargery read Physics at Cambridge. He previously developed optimisation software for the oil industry, and in his spare time built and sold sports competition software

Ackcio builds extremely reliable, wireless monitoring solutions for the world’s most challenging industries, like construction. Their end-to-end solution integrates with any industrial sensor and transmits sensor readings wirelessly to their cloud services where the data gets stored and analyzed. Ackcio’s patent-pending wireless data collection protocol is capable of automatically learning an environment and fine-tuning radio parameters to ensure that no data gets lost during transmission of sensor readings.

Mobashir Mohammad is a wireless networking expert with 9 years of experience. He has won several awards for his outstanding PhD research in reliable wireless data collection protocols at NUS.

Nimantha Baranasuriya completed his PhD in wireless networks at NUS. His patent-pending techniques on improving the reliability of VoIP applications on Wi-Fi networks have been integrated in Skype

Adaface is building a conversational AI, Ada for first round tech interviews that candidates love (100% interview turn out). Ada can analyse the candidate’s thought process, give timely hints and ask follow-up questions to accurately gauge skills. Ada shortlists the most qualified candidates for the role, and now companies can invest more time engaging the top candidates.

Deepti Chopra did her undergrad at IIT, and research at Caltech where she improved accuracy of ML algorithms used to predict earthquakes in California’s early warning systems. As engineer #2 at vahan.ai, she built a WhatsApp chatbot for recruitment/ training of blue collar workers (currently used by Uber, Flipkart, Grab etc). She previously built and launched an outbound hiring tool (Jobhash).

Siddhartha Gunti graduated with research in context based machine translation from IIT. At Goldman Sachs, he developed equity swap quantitative models as Senior Quant. As the first engineer turned PM at Headout, he built the V1 of the product and later a 13 member tech team with engineers from Google, Facebook and Goldman Sachs to scale the product to 1M users.

Adbrain’s mission is to unlock the universe of data to build smarter businesses. We drive business insights and real time, cross platform advertising decisioning for clients like M&C Saatchi and Onmicom.

Gareth Davies has held multiple commercial roles at Google and DoubleClick. He also developed pioneering adtech solutions and ran global commercial operations for Somo

Affable is building an end-to-end platform that brings intelligence and automation to influencer marketing. They derive insights about micro influencers and their audience by using cutting edge computer vision algorithms on social media posts. Affable is building the technology that enables one-click influencer marketing at scale, doing to social what Google Adwords did to search.

Nisarg Shah graduated with a silver medal for overall excellence from Indian Institute of Technology (IIT). He worked with Goldman Sachs where he spearheaded software automation and big data projects. Nisarg also developed and launched a social learning platform (Graspr) and an AR visualisation platform (Visualive) before founding Affable.

Swayam Narain is an award winning computer scientist who graduated top of his class at Singapore University of Technology and Design (SUTD). He was a software engineer at Pivotal Labs where he turned client’s ideas to high quality products. He has expertise in building computer vision pipelines, social media platforms and cloud applications that scale.

Agrosight detects plant diseases early using hyper-spectral signals, dramatically reducing the cost of food production. Our technology detects diseases before they cause serious damage to crops. We do this by detecting minute changes in the light spectrum profile of a plant, signalling that a plant is affected days before any physical manifestation of damage is shown. This significantly reduces crop loss for farmers.

Mayke De Freitas Santos has been working as a policy advisor and project manager for several NGOs to minimise the impact that agriculture causes to biodiversity globally. He holds degrees from the Universities of London and Cambridge in International Environmental Law and Conservation Policy.

Adolfo Posadas Durand has a PhD in Physical Science and more than 25 years of experience in applied physics, mathematical modelling and complex systems applied to agriculture, soil physics, ecology, and environmental science.

It is vital for financial institutions to identify fraud by verifying if the customers are who they say they are. But that security can’t damage user experience. AimBrain set out to solve that problem by delivering SaaS biometric authentication platform. It is the only platform that provides multi-module, Behavioural, Facial and Voice, authentication in a single package.

Andrius Sutas graduated top of the class in Computer Science & Electronics from the University of Edinburgh. In the course of his academic career he has served as a research assistant, and completed internships at the European Space Agency and ARM

Alesis Novik holds Master’s degree in Artificial Intelligence from the University of Edinburgh and has participated in Google’s Summer of Code Program. More recently, he has spent time at CERN and at Level E Capital and has completed three years of PhD work before dropping out to start AimBrain.

AIMLedge is developing a software platform that automate development and deployment of customized deep learning software for edge devices of any brand and computing ability. We specialize on optimized solutions low-end commodity cameras. Our platform reduces the development time of these solutions by 80%, and enables plug-and-play deployment. Our vision is to democratize cutting-edge AI and IoT for businesses across industries and sizes.

Constance Tan did business development for enterprise IT solutions in finance and manufacturing multinationals during her previous career at IBM Singapore. She holds a MSc in Systems Design and Management from National University of Singapore and a BSc in Engineering Science from University of Virginia

Gopalakrishna Hegde has 6 years experience in building deep learning and computer vision solutions for consumer electronics and home automation industry. He has done research on deep learning for embedded devices and published award winning papers and journals in top tier international conferences. He was the main contributor to open source projects related to building international AI marketplaces for IoT devices. He holds masters degree in Computer Engineering from Nanyang Technological University, Singapore.

alpha i is a research-led tech company combining cutting edge research in Bayesian methods and machine learning to bring AI to a large class of dynamical problems that traditional methods fail to describe. The company’s first vertical is the ultimate dynamical system: the financial markets. They use their proprietary AI tech to spot transient market inefficiencies and and translate them into investment opportunities for the hedge fund industry.

Giacomo Mariotti has Master’s in Particle Physics and Quantitative Finance. He worked for 2 years at RWE Npower, where he was the head quant of the hedging desk of the company.

Sreekumar Thaithara Balan has a PhD in Astrophysics from the University of Cambridge and 4 years of postdoctoral experience at UCL. His research focus is high dimensional Bayesian inference. His models for cosmological data analysis and object detection led to the discovery of a new planet.

ArrayStream Technologies helps fund providers launch next generation AI-powered mutual funds. We maximise the probability of beating the index by combining dynamic composite signals with our novel polymorphic diversification method.

Yu Zheng holds a PhD in Quantitative Finance from Imperial College London. He is an expert in machine learning, option pricing and portfolio construction. During his PhD, Yu worked for a leading private bank designing systematic trading strategies.

Ran Fan has 10 years of experience in building real-time automated trading systems for companies including Goldman Sachs and one of Europe’s largest systematic hedge funds. Ran holds a Master’s in Information Systems Engineering from Imperial College London.

Atlas ML is a development platform for machine learning. Git and GitHub were designed for code, but new software has new ingredients like data and models that require new solutions. At Atlas ML we are building a community and toolkit to solve the workflow problem for machine learning and shape the future of software.

Robert Stojnic was one of the early core developers at Wikipedia, and scaled the community to billions of users. He was also CTO at two deep tech companies where he led teams building machine learning software. He holds a PhD from Cambridge.

Ross Taylor is a well-known open source author in the Python community. He previously worked as a machine learning engineer in the sports betting and finance industries. He holds a Master’s from Cambridge..

Atomionics is building atomic sensors for navigation and resource exploration. Sensing technology is severely inadequate for a lot of applications navigation and positioning, pinpointing oil and gas reserves, tunnel detection etc.

Atomionics builds atomic sensors harnessing quantum mechanical properties of the atoms. This enables measurement of parameters like gravity, acceleration and rotation with 1000x higher precision and accuracy than the current state of the art, leading to a completely new way of global positioning, and resource exploration.

Ravi Kumar has a PhD in Physics and an MSc in Photoinics. He has a decade of research experience including his PhD and post-doctoral research on cold atoms which is the bedrock of Atomionics’ technology.

Sahil Tapiawala has a M.Sc. in Chemistry and a B.Eng in Electrical and Electronics engineering. He has worked extensively on integrated electronics systems. He was previously a Robotics Research Engineer where he built a multi-material 3D printer and miniaturized robotic stingray.

Automata is working to democratize robotics by creating an affordable & accessible robotic ecosystem. Our first product, is a lightweight, plug-n-play robotic arm, with software so simple that it takes just three taps to get running. On top of all that, it costs just a tenth of conventional table-top sized industrial arms.

Suryansh Chandra and Mostafa Elsayed, met while working for the last 6 years at the Computation & Design Research Group at Zaha Hadid’s London office, where they were engaged in advanced design and manufacturing techniques including robotics.

Avocarrot’s mission is to is to fix the core of mobile advertising by empowering app developers. Through Avocarrot, developers can easily monetise their mobile applications by dropping in native advertising.

Conno Christou earned a Meng, Electrical and Electronic Engineering from Imperial.

George Eracleous holds a Meng, Information Systems Engineering also from Imperial.

Beneficiary helps charities identify the most effective ways to improve lives. With charities under increasing pressure to demonstrate their effectiveness, impact evaluations have doubled in the last five years. Using machine learning and behavioural science, Beneficiary helps organisations design low-cost, highly scalable surveys to better understand their progress against the world’s toughest problems.

Kieran Hammond has an MA in English from Cambridge, where he specialised in linguistics. He has experience running a charity and founded an international education startup in China.

Nicholas Smith has an MSc in Cognitive and Behavioural Science from UCL. He previously worked on projects for Google, Nike and Save the Children, and built a mobile app featured in TIME Magazine’s ‘Top 10 Apps 2017’.

Beryl stops cyclists from being caught in the ‘blind spot’ – the greatest cause of cycling fatalities. After a successful Kickstarter, Beryl is now sold across major retailers including Evans Cycles and is being trialled on all ‘Boris’ bikes in London.

Emily Brooke holds a BSc in Product Design from Brighton, an MSc in Product Service System Design from Politecnico di Milano and a BSc in Physics from Oxford University.

BetaSight Technologies uses VR and Eye-Tracking to understand a user’s health. Our mission is to make diagnostics intuitive, engaging and ubiquitous by understanding what your eyes are doing. By focusing on the problem of Glaucoma first, our growing platform will grow to be able to diagnose neurological as well as physiological conditions. Eye-tracking will be the new blood test, enabled by the coming wave of mixed reality technology.

Corey Manders holds a PhD in Computer Engineering from the University of Toronto, where he worked on VR/AR headsets as early as the mid ’90s. He has a track record in developing Ophthalmic devices and is an expert in computer vision algorithms.

Martin Sawtell comes from a Visual Effects background, where for the past 10 years has worked at studios like Lucasfilm on projects such as Star Wars and Ready Player One. His specialisation is in dynamics simulation & rendering, and has worked with formats ranging from stereo film to planetariums.

Beyond transforms how businesses do budgeting – making it real-time and collaborative. Companies can quickly react and plan in real-time, instead of waiting for the next drawn-out budget cycle.

James Williams spent four years at Barclays, building high performance trading systems and working directly with the CIO, so he understands the pain of budgeting from both sides. He has two Master’s, including one in Machine Learning from UCL.

Xavier Wilders graduated top of his year with a Master’s in Computer Science from Oxford. He single-handedly built the initial version of Beyond that is still being used by a multinational pharmaceutical company.

Blinkpool have developed proprietary computer vision technology enabling them to generate hyper-contextual wagering markets for eSports.

Suraj completed his Master’s in mathematics at UCL and went on to work as a quant in investment banking and finance building models to investigate market microstructure and trading behaviour. After this he worked as a senior data scientist carrying our predictive modelling work that was used by multiple 2016 US presidential candidates.

Jordan has over 6 years experience in computer-vision and artificial intelligence. He has created a computer-vision system to extract tennis data directly from live TV feeds. He then went on to work in the defence (BAE Systems) and medical image processing (Hamamatsu) sectors building software handling large volumes of data satisfying stringent temporal constraints.

BlockPunk is an entertainment startup that uses blockchain to give creators more control over their digital rights.

BlockPunk enables any creator to easily sell digital merchandise. We use Blockchain so fans can claim true digital ownership. We launched the world’s first sale of anime crypto goods and have partnerships with leading producers from Japan including Kazuto Nakazawa from the movie Kill Bill. BlockPunk is leading the decentralization of the film/tv industry with anime as its beachhead.

Julian Lai-Hung was head of anime and Japan content at Netflix and VP of digital distribution at Warner Bros. A Wharton MBA, he also co-founded Digital Magic Labs an Internet pioneer in Japan.

Jatin Shah is an expert in distributed systems with a PhD in Computer Science from Yale University and a BTech in Computer Science from IIT. Jatin joined the Linkedin product team in Silicon Valley pre-IPO and has led product and data science teams at Yahoo, InMobi and Quikr.

Bloomsbury AI automates customer care and advice. Our AI reads background documents and any additional information, and then automates answers (with explanations) to customer questions. Questions that the AI can’t answer are passed on to a Human.

The founding team are world experts in Machine Learning and  have over 60 patents and 200 peer reviewed publications.

Guillaume Bouchard completed his PhD in statistics from INRIA. He has 15 years experience at Xerox Research and UCL in machine learning and NLP.

Luis Ulloa is a prize winning research engineer. He created the optimisation and machine learning algorithms and IP behind two of the most profitable projects at Xerox Research.