Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into artificial intelligence. This time, you get to discover 5 hand-picked deep learning startups.
Global Startup Heat Map: 5 Top Deep Learning Startups
The 5 startups you will explore below are chosen based on our data-driven startup scouting approach, taking into account factors such as location, founding year, and relevance of technology, among others. This analysis is based on the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering over 1.3 million startups & scaleups globally.
The Global Startup Heat Map below highlights the 5 deep learning startups & scaleups our Innovation Researchers curated for this report. Moreover, you get insights into regions that observe a high startup activity and the global geographic distribution of the 954 companies we analyzed for this specific topic.
Neural Concept works on Engineering Process Automation
The manufacturing industry is significantly impacted by deep learning in terms of improving the efficiency of manufacturing units. Deep learning enables predicting machine performance and potential breakdowns. Predictive maintenance assists managers to monitor quality parameters in large and complex manufacturing setups, enabling smoother operations.
Swiss startup Neural Concept develops engineering process automation solutions for multiple industries, including automotive, energy, and construction, and marine among others. The startup utilizes patented deep learning technology and integrated shape optimization algorithms to reduce the time taken for 3D simulations. The solution automatically generates shapes that align with optimal desired output values.
Harrision.ai leverages Deep Learning for Healthcare Solutions
Medical professionals increasingly use artificial intelligence (AI) algorithms for making accurate clinical decisions faster. Deep learning tools provide clinicians with automated insights based on medical image analysis. For example, it enables the early detection of cancer or predicts pregnancies based on hormone levels. Startups develop deep learning tools to identify and prevent diseases before they manifest.
Australian startup Harrison.ai creates customized artificial intelligence tools that integrate into existing clinical workflows. The startup uses deep learning algorithms and time-lapse incubation videos to predict possible pregnancies with the help of IVY, a patent-pending deep learning technology. IVY’s accuracy in comparison to an embryologist is significantly high in terms of selecting successful embryos.
Plumerai develops Binarized Neural Networks (BNNs)
Binarized neural networks help optimize multiple business aspects including sales forecasting, data validation, and even risk management. Deep learning algorithms find applications in unsupervised learning tasks and are enable the analysis of abundantly available unlabeled data. To this end, startups develop binarized neural networks to process large volumes of data in a quick and efficient manner.
Dutch startup Plumerai develops Larq, an ecosystem of Python packages for building, training, and deploying binarized neural networks (BNNs) that enables efficient inference on mobile and edge devices. Additionally, the startup enables engineers and researchers to access state-of-the-art BNNs, train their own from scratch, and deploy them on mobile and edge devices.
Focal Systems offers Deep Learning Solutions for Retail
Retail brands are tapping the vast amount of data generated in the industry to understand the market and improve product performance. Deep learning tools helps brands identify the right demographics. Moreover, they also enable intelligent task automation, support for demand forecasting, and better resource allocation. To this end, startups develop deep learning solutions that enable retailers to become more efficient, resilient, and better able to service their customers.
The US-based startup Focal Systems offers technology solutions for retailers to manage inventory, improve customer satisfaction and reduce overall costs. The startup’s solutions identify product QR codes significantly faster than existing solutions enabling faster checkouts and satisfied customers. Moreover, the solution tracks shelf stocks and alerts shop floor executives about the potential loss of sales due to stockouts.
AI VALI utilizes Deep Learning in Medical Image Analysis
The large volumes of medical image data provide a base for building artificial intelligence algorithms. Medical professionals leverage deep learning tools to predict disease progression in patients diagnosed with cancer or other terminal illnesses. Startups leverage deep learning to provide medical image analysis solutions and reduce the lead time for detailed medical analysis.
Canadian startup AI VALI utilizes proprietary machine learning and deep learning techniques to develop a medical image analysis platform. The AI platform enables medical professionals to upload medical images and run deep learning algorithms to rapidly identify anomalies in the image.
Discover more Deep Learning Startups
To keep you up-to-date on the latest technology and emerging solutions, we provide you with actionable innovation intelligence – quickly and exhaustively. You can download our free Industry Innovation Reports and discover new business opportunities or save your time & let us look into your areas of interest. We provide you with an exhaustive overview of new startups, scaleups & emerging technologies that matter to you.