Get in touch for a head-start on startups, scaleups & disruptive technologies to discover what will impact your business in the future! The Global Startup Heat Map below highlights 5 startups & emerging companies developing synthetic data solutions. The smart, fast and affordable way to detect defects in critical infrastructure. DNA synthesis is the cornerstone of synthetic biology and demand for the technology is growing at an unprecedented rate. As there is a large number of startups working on a wide variety of solutions, we want to share our insights with you. Based on the latest advances in synthetic data generation, smart synthetic data enables businesses to stay innovative, unlocking data benefits in a privacy preserving manner. Discover 5 Construction Startups You Should Watch in 2021. Lastly, because synthetic data is much easier and faster to produce, its cost is markedly lower. Taking this as a first step, our ultimate goal is to minimize the need of field tests as much as possible. Using synthetic data creates trust for the partners as well as the customers. STATICE helps your company to leverage existing private customer data in a privacy-preserving manner by using synthetic data to foster a variety of collaborations with external data owners and data experts. Demetrix, Inc. works with nature to make rare ingredients readily accessible to promote healthier and happier lives. Today, We’re convinced that [synthetic data] is going to be the future in terms of making things work well. Hopes are high for astonishing consumer biotech products, delicious foods and beverages, biomaterials and sustainable living, as well as novel medicines and therapeutics—in short, to share the benefits of scientific innovation with people around the world. Synthetic Data Machine Learning + Synthetic Data. Synthetic data is the creation of new data based on real data. You no longer need to worry about buzz words like GDPR and PSD2 - we will take care of the regulations and let you focus on more important things. For more information view our Data Protection Information. Due to their confidentiality, this is seen in situations where medical and clinical records are involved. Cardior Pharmaceuticals is a privately held German biopharmaceutical company pioneering the development of curative and preventive heart failure therapeutics based on non-coding RNA (ncRNA). In many ways, this is a data-readiness strategy deployed that helps bootstrapped startups bring AI solutions for the masses; A lot of vertical AI startups depend on synthetic dataset to solve industry-specific problems; Is The Adoption Of Synthetic Data Mainstream Synthetic data is the creation of new data based on real data. The Company's platform leverages the expertise and recent discoveries across stem cell biology, synthetic biology and cancer genomics of its renowned founding scientist, Professor Steve Pollard from the University of Edinburgh, UK. Lumen has combined cutting edge engineering, data analytics, and scientific ingenuity to harness the potential of Spirulina for the production of high-value molecules for the food, cosmetic and healthcare industries. You can export these companies to Excel by clicking here. Concerto HealthAI, a SymphonyAI Group portfolio company, is innovating in real world data (RWD) and AI solutions for precision oncology. About Us Discover what will impact your business in the future! Alongside Artificial Intelligence, Synthetic Biology is currently recognized as a groundbreaking technology that is already shaping the world we live in. Furthermore, the benchmarking framework splits the real-world labeled dataset to determine the outcome of the real-world baseline. Our solution has many use cases: Open Banking - Safe data sharing over API, without exposing the real data; Testing Environments - Eliminates the risks of data breach, yields significantly better test results, and shorter test cycles compared to anonymized or masked data; Data Science, AI & ML training and evaluation - Regardless of the amount of data generated, KYMERA’s synthetic data maintains data’s original features and reflects real-life scenarios and variations. Discover 5 hand-picked, global startups that develop innovative construction solutions that will impact your company in 2021! Whether you’re generating an entirely new city or tweaking the details on a single street corner, their systems will produce living worlds that have traditionally required extensive manual labor. Synthetic data is one way for startups to compete with data-rich companies such as Google. The solutions of Synhelion combine state-of-the-art solar tower systems with proprietary high-temperature thermochemical processes for the production of solar fuels. Read the full article on Towards Data Science, or right here on our blog. Collecting annotated image data for railway is a very costly and labor intensive process. Machine and deep learning models have achieved high accuracy in various fields of biology and medicine. Our Innovation Analysts recently looked into emerging technologies and up-and-coming startups working on big data solutions. Pivot Bio Many Artificial Intelligence (AI) projects depend on sufficiently large and labeled data sets. DataGen, Cvedia, Hazy, AI.Reverie and ANYVERSE develop 5 top solutions to watch out for. This builds upon the advancements of viral vectors as a clinically validated and scalable platform to rapidly develop new treatments for patients. Cookie Policy Our key priority is to guarantee maximum utility of proprietary data not violating compliance regulations. The copany's solution is a technology called synthetic aperture radar (SAR), which can be mounted on a satellite and used to create a 3D image of the landscape below. Curious about new technological advancements in the energy industry? Hazy generates statistically controlled synthetic data that can fix class imbalance, unlock data innovation and help you predict the future. Talented teams are often hamstrung by a lack of data… Although there are advancements in neural network architectures and training algorithms, these algorithms do not solve the data problem. Explore our analysis of 110 global farm-to-table startups & scaleups & learn how their solutions impact your agribusiness! Submit a Company Furthermore, this leads to the generation of data sets that are GDPR compliant. (. Hazy Balance uses a range of best-in-class techniques to optimally re-balance structured data sets. The company provides synthetic data and vision APIs across industries … Learn more in our Global Startup Heat Map! Lumen Bioscience is a Seattle-based synthetic biology company focused on the development of the blue-green algae Spirulina as an industrial scale production platform. The company is enabling ultra-high performance consumer products. Curious about new technological advancements in the healthcare industry? techworm.net | 1d. We're enabling our partners to create tomorrow’s sustainable, efficient, customer centric transport solutions. Consequently, currently available domain-specific data sets are very sparse in the industry and ADAS technology in railway is lacking behind automotive. Processing petabytes of … The company’s proprietary CapsidMap™ platform is designed to rapidly discover and systematically optimize superior Adeno-Associated Virus (AAV) capsid vectors with delivery properties that significantly improve upon current approaches to gene therapy and expand the range of diseases treatable with gene therapies. With stricter data regulations such as the GDPR looming in the near future, data privacy has become an entirely new asset for companies. 5 Top Reality Technology Startups Impacting the Oil & Gas Industry. Directory of Companies. Israeli startup Datagen provides a sophisticated, photorealistic 3D reconstruction of human hands, face, body, and eyes. Synthetic Data Generation Via Simulation. This is a modeling of complex boundary cases and an accurate synthesis of the client’s entire target system such as lens, sensors, and processing distortions. reverie is a New York-based simulation platform that provides synthetic data designed to make AI and machine learning algorithms training affordable, fast, and productive. See the whole list at "100 Big Data Startups Worth Looking Into in 2020". Hexagon Bio is a drug discovery company enabled by a novel understanding of natural product evolution. The synthetic data for forecasting and simulation enables banks and fintech companies to explore large-scale externalities. You must have cookies enabled to login Custom optical and LiDAR sensors enable the capture of high definition raw data in addition to the usual red, green, and blue. Moreover, the Heat Map reveals regions that observe a high startup activity and illustrates the geographic distribution of all 56 companies we analyzed for this specific topic. The newly generated data maintains the original statistical quality and data features while keeping the real data fully secured. Dyno was founded in 2018 by experienced biotech entrepreneurs and leading scientists in the fields of gene therapy and machine learning. To identify the most relevant solutions based on your specific criteria, get in touch. Kymera Labs' synthetic data is 100% safe and free of privacy and sharing limitations. Synhelion aims at replacing fossil fuels by economically viable synthetic fuels, which are compatible with the current global fuel infrastructure and reduce net CO2 emissions by up to 100 percent. Top ranked companies founded since 2016 for keyword search: View Pricing for full Business Subscription. Cardior’s therapeutic approach is using distinctive ncRNA signatures driving the molecular reprogramming that causes maladaptive remodeling and heart failure. The company’s mission is to bring together unique data assets, AI-based technologies, and top outcomes research and data science talent. At Tango, we have powerful opportunities to leverage the principles of synthetic lethality and develop new therapies that target mutations current drugs don’t touch. We envision a fully simulated and controlled environment where developers can both train and test-bench AI-based systems for railway. We are committed to developing precise, powerful and safe therapies for the people who need them most. Based on the real data we can create endless amount of data for training models; and Our solution allows to use synthetic data for processing and apply the results onto the real data. Synthetic data is artificial data generated with the purpose of preserving privacy, testing systems or creating training data for machine learning algorithms. Generate a new world and do it again tomorrow. Founded in 2015. Most imaging satellites rely on daylight and the absence of clouds for the clearest imagery. Founded by three scientists who have intimate knowledge of the best science and resources from the field of non-model organisms, Fauna Bio leverages data from hundreds of species in order to help develop pre-clinical and early clinical testing for new therapeutics targeting human diseases. Cellinta is a biotechnology company focused on developing highly selective gene therapies for cancer. Synthetic biology startups are at the forefront of tackling diverse areas of life sciences to build a better world by programming life. | Leveraging nature’s toolbox, the company is optimizing a DNA polymerase called Terminal Deoxynucleotidyl Transferase (TdT), which usually synthesizes DNA rando… (. This technology defines the number of variation cycles, ground-truth data, and channel outputs to create synthetic data solutions for advanced perception models. LinkedIn A sufficient number of diverse, high-quality, and labeled images is crucial for the training and validation of today’s visual AI solutions. This results in an overall increase in the performance of the algorithm. Unlike road networks in the automotive domain, railway networks are not publicly accessible and strict regulations on vehicle modifications apply in many countries that make it difficult to collect field data and run field tests. There are many opportunities to apply our platform technology in infectious diseases, allergy and cancer. Synthetic data is especially useful for emerging companies that lack a wide customer base and therefore significant amounts of market data. Our initial end-use product applications target improvements in the experience of outdoor athletes and enthusiasts. To create human-focused data the simulator blends computer graphics and data generation technology. This technology defines the number of variation cycles, ground-truth data, and channel outputs to create synthetic data solutions for advanced perception models. As the name suggests, quite obviously, a synthetic dataset is a repository of data that is generated programmatically. Moreover, the simulation platform employs multiple sensors to synthesize photo-realistic environments resulting in empirical dataset creation. Social Media : Facebook is using synthetic data to improve its various networking tools and to fight fake news, online harassment, and political propaganda from foreign governments by detecting bullying language on the platform. This site uses cookies to ensure you get the best experience on our website. Synthetic data generation enables you to share the value of your data across organisational and geographical silos. This helps you to truly unlock the hidden value of your data while staying entirely GDPR compliant. Parallel Domain, a startup developing a synthetic data generation platform for AI and machine learning applications, today emerged from stealth with … Our mission is to empower product designers with new technologies and materials never before available to create the next generation of high performance sustainable products. 5 Top Farm-to-Table Solutions Impacting the FoodTech Sector. Exonics Therapeutics has developed SingleCut CRISPR, a gene repair technology that has the potential to effectively halt the progression of certain genetic neuromuscular diseases. As threat detection accuracy is high, synthetic data reduce chargeback costs and improves credit risk assessment. Companies collect data in an ongoing manner in order to derive new information about customers, business opportunities and to fuel new product solutions. Synthetic data enables data scientists and developers to train models for projects in areas where big data capability is not available or if it is difficult to access due to its sensitivity. Can machine learning be used in asset management to prevent critical assets from failing? We are seeking funding to complete a clinical trial for our lead influenza vaccine candidate and to test our technology in other diseases. We know many of the proteins that drive illnesses like cancer, but most are considered “undruggable” by experts. We think so. Refresh Welcome to the AI revolution. Ichthion Limited is an award-winning UK-based developer of disruptive technologies to extract plastics and synthetic waste from rivers and oceans. AI. We trained a CV model to detect voting ballots using only synthetic data for more reliable and secure voting. By using microorganisms such as baker's yeast and fermentation combined with the most advanced biotechnology, data science and automation, Demetrix can produce complex, sustainable ingredients at high purity and lower cost. Which startups develop the other 51 solutions? Now, we have a way to find them and develop them into medicines. Evan Nisselson, a partner at venture firm LDV Capital, says synthetic data offers startups hope of competing with data-rich AI giants. We analyzed 56 synthetic data startups impacting different industrues. The startup has proprietary tools to create synthetic images that simplify the sourcing of large volumes of labeled, real, and visual data. Get a sneak peak into the future of Artificial Intelligence! Capella Space aims to take advantage of a gap in current commercial satellite coverage. Synthetaic is a startup working to create data — specifically images — that can be used to train artificial intelligence. Fauna Bio is developing new ways to treat human diseases, such as heart disease and neurodegenerative disease, by adopting mechanisms animals have developed for traits such as hibernation and deep-diving. The ability to reduce the distortion of image bias through input sensor data is an important part of the concept of sensor-specific synthetic data generation, which leads to the efficient use of AI. Healthcare: Synthetic data enables healthcare data professionals to allow the public use of record data while still maintaining patient confidentiality. The startup integrates synthetic biology, computational modeling, multi-omics measurement, and machine learning in a single platform to advance therapeutic applications. Medical School of data sets that are GDPR compliant innovation Analysts recently looked into emerging technologies and up-and-coming working... Much like a Lego set graphics and data generation, labeling, and channel outputs create... 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