Tuberculosis (TB) is curable, and yet the most lethal infectious disease in the world. Each year, nearly two million die of TB globally.The situation is exacerbated by the emergence of drug-resistant forms and their delayed diagnosis.

AarogyaAI exploits genomics and artificial intelligence to rapidly and comprehensively diagnose drug-resistant TB in a few hours, instead of weeks. This means that patients can be prescribed the right combination of drugs instantly. The company’s goal is to be the gold standard in TB diagnostics by 2023.

They have partnered with 11 leading diagnostic labs in India for validating their product. The world’s largest sequencing company Illumina Inc. (USA) has invested in them and Dr. Soumya Swaminathan, Chief Scientist, WHO is their advisor.

AarogyaAI are recipients of the BIRAC-TiE WinER Award 2020, TIDE 2.0 MeiTy (Govt. of India) grant and Semi-finalists of the
Aayushmaan Bharat PM JAY Startup Grand Challenge 2020. They were featured as one of the ‘Big Ideas – Express Check Up’ by
Outlook Business India.

Praapti Jayaswal did her PhD in tuberculosis research at the Translational Health Science and Technology Institute, India. Having spent over 12 years as a researcher at top institutes such as All India Institute of Medical Sciences and University of Toledo, USA, she developed expertise in molecular biology and genetics.

Avlokita Tiwari is a computational biologist with a Master’s in bioinformatics. After her stint at THSTI as a Tuberculosis researcher, she spent 5 years writing code for biological data at the University of Turku, Finland and at Okinawa Institute of Science and Technology, Japan. Her expertise lies in computational genomics.

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.

AI Palette is world’s first Artificial Intelligence platform for FMCG Product Innovation. AI Palette creates winning product concepts in line with a brand’s personality & its existing product portfolio. It does this by garnering insights from millions of digital conversations and coupling them with the internal company data to create product concepts which addresses the unmet needs of consumers.

Som Gan Choudhuri

Som Gan Choudhuri has over 10 years of experience; he has worked extensively in the FMCG industry, won several awards, worked with some of the biggest FMCG brands across multiple geographies doing product innovation. In his last role as Global Sales Lead at Givaudan, he helped FMCG companies do product innovation faster and better. He also holds an MBA in marketing from India’s leading B-school.

Himanshu Upreti

Himanshu Upreti is an Indian Institute of Technology graduate. He has extensive experience in Big Data Analytics and Machine Learning. In his last role at Visa, he filed 2 trade secrets in data analytics, worked with petabyte scale data and played a major role in the restructuring of Visa’s big data platform. While at Visa, he was awarded and recognized as the top 2% of employees for his contribution.

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.

AIMS is a Youth Sports Education and Management Platform powered by Artificial Intelligence and Motion Capture technology. AIMS digitizes the youth sports performance and leverage big data to revolutionize sports education.  AIMS improves sports training, management and assessment efficiency. It combines IoT wearables, cloud-based analytics, and machine learning algorithms. AIMS monitors, records and analyzes K12 students’ sports performance and health data into insight reports for schools, coaches, and parents.

Sean Chen

Sean Chen graduated from Stanford University with Master Degree in Civil Engineering. He has more than 7 years of experience in Technology Promotion and Enterprise Solution Sales in China, Hong Kong, and Southeast Asia.  He had also built 2 wellness and fitness sartup in China and Hong Kong.

Yufan Wang

Dr. Yufan Wang received his Ph.D. in the area of wearable devices, artificial intelligence, and sports motion analysis in 2018 at City University of Hong Kong.  He had published 5 technical papers (including one top Journal with the Impact Factor of 7.6) and applied 1 US patent. He was a collegiate and Semi-Pro volleyball player in China and Hong Kong with more than 14 years experiences. His team won the Chinese University Volleyball Association (CUVA) Super Cup Championship in Nanjing in 2010.

Alcemy enables cement and concrete producers to cut costs and carbon emissions.

Producers in the 1T$ concrete industry are forced to make products excessively strong. This is due to limestone fluctuations driving strength up and down, with the only way to find out being a test that takes 28 days.

Alcemy’s patented AI determines concrete strength within minutes, and suggests which wheels to turn to get it back on target, increasing cement plants’ profits by 5% and concrete batchers’ by 50%.

The prototype is live in production in Leo’s home plant, and enabled Alcemy to select two more producers, including one of the largest in the world, to join its paid early adopter program.

Leopold Spenner has spent his life working with cement and concrete, growing up next to the plant his family has owned for 4 generations. His MSc in Industrial Engineering from KIT, research at the German Cement Association and two building material projects at BCG allowed him to experience the industry from all angles.

Dr. Robert Meyer holds a MSc & PhD in Machine Learning from TU Berlin. He co-founded and scaled the team that built the entire dynamic pricing pipeline for FlixBus from scratch in 2 years, suggesting prices for >100,000 tickets a day. His open source projects like pypet make him well known in the Python community.

ALIAN is developing the DNA of smart future energy. The $1T+ global electricity market is growing and evolving at an unprecedented pace. Renewables, electric vehicles and the regulatory push to zero carbon emissions are making the current electrical systems obsolete.

ALIAN is developing the core technology required to unlock the smart energy systems of tomorrow. Our technology provides visibility to electrical systems. We are already piloting our technology with two major electrical distributors, which represent 60% of the UK market share. We have also been funded by Climate-KIC, the EU’s leading climate innovation initiative.

Ali Safari has an MPhil in Nuclear Engineering from Cambridge University and researched Fusion Energy at CCFE, the research arm of the UK Atomic Energy Authority. Previously, he was an investor at Low Carbon, a leading renewable energy family office, where he was investing in the future of energy.

Enzymes play a key role for hundreds of industrial purposes. The problem is that discovering the right enzyme with desired performance is like finding a needle in a haystack. Currently, there are two options: wait for evolution to take place or engineer it in the lab, costing millions of dollars and years of work with no guarantee of success. Allozymes unlocks enzyme potential using microfluidics, building the largest enzyme data set, and achieving 10X faster and cheaper development with 200X higher chance of success. Their ready to commercialize technology addresses a US$600B market with a pipeline of projects worth millions and products worth billions.

Dr Peyman Salehian is an entrepreneur-scientist with a PhD from NUS. After his PhD, he joined a tech consultant firm as Head of Business Development, where he managed an international team, and expanded the company in Asia. He built his first start-up at age of 22, where he transferred a technology from lab and commercialized it.

Dr Akbar Vahidi earned his PhD in enzyme technology from NUS. With 10 years of experience in the field, he has many publications and patents and delivered several industrial projects to big pharma, food and biofuel companies. As lead researcher, his lab spent US$5 million to develop and patent a platform for faster and cheaper enzyme development.

Altroleum enables the production of environmentally friendly fuels. Altroleum are building a data-driven ‘exploration’ platform for producers of alternative, environmentally friendly fuels, which helps them understand how, when, and where to develop their assets. The platform uses cutting edge machine learning based predictive modelling and geospatial mapping. The primary benefits for customers are access to cheaper finance for large alternative fuel projects, and lower execution risk. This will unlock a $1T+ industry.

Petar Besevic has conducted research in Chemical Engineering at Cambridge through to postdoctoral level. This work has helped major conglomerates design more energy efficient systems. Petar has worked on energy policy at MIT, and won several prestigious academic prizes whilst at Imperial College London.

Simon Spurrier studied engineering and computer science at Imperial College. He has managed software teams as both an engineer and product manager. He has also worked as a technology consultant for Shell. He has built financial optimisation algorithms for investment banks and oil majors.

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..

AtomBrush is building Robots to automate building painting.

Globally, $300 billion is spent on painting labor alone. Productivity increase in construction has been flat over the last 70 years, with the industry still following centuries-old processes. With the pool of skilled workers reducing, automation is a must to combat project delays and budget overruns.

AtomBrush is solving this by deploying swarm robotics systems to increase productivity by 12X, cut down labor costs by 80%, and also improve the quality.

We have paid pilot agreements with 4 bluechip firms and Singapore’s most innovative paint company. We also have customers across 7 countries in the pipeline.

Hafiz Nadirshah has a bachelor’s in Computer Science and an MBA from India’s top universities. He worked at Asian Paints, one of the world’s top paint companies, for 6+ years, where he grew multiple products from scratch to multi-million dollar revenue streams. He has previously co-founded 2 companies.

Abheek Bose is a Mechanical Engineer with a Master’s in Autonomous Systems and Computer Science from the University of Applied Sciences, Bonn Rein Sieg. Having co-founded 2 companies before, he has 12 years of experience building Cyber-Physical systems. He sold his previous Robotics startup for a 7-figure sum.

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.

Aurora: AI-Assisted Assessments generates quality K-12 (ages 5 to 18) assessments 100x faster, powered by AI.

Parents, teachers, and schools rely on assessments for feedback on how to guide students to success. Today, that boils down to quizzes in the classroom, creating inefficient and passive learning.

Aurora imagines a world where students have their own textbooks that react to personal learning styles. Until then, we partner with publishers and education companies to automatically create assessments from content for K-12 student learning.

Our systems use AI to understand text, identify main concepts, and generate quality questions to evaluate understanding. Aurora makes learning dynamic, personalised and fast.

Karishma Kamal Galani holds a Master’s in Educational Technology from Harvard University. With time in research at MIT’s Media Lab, she has also led edtech innovation at an international school and authored two books in her field.

Ramsri Goutham Golla is an AI expert who has spent the last 7 years building large scale AI products in the Bay Area. He has worked on patented machine learning algorithms as part of his academic research. Most recently he founded an AI publishing startup with his independent Natural Language Processing research work.

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.