Discover 5 Top Deep Learning Solutions

Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights in artificial intelligence solutions. This time, you get to discover 5 hand-picked deep learning solutions.

Out of 4 042, the Global Startup Heat Map highlights 5 Top Deep Learning Solutions

The insights of this data-driven analysis are derived from the Big Data & AI-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.

The Global Startup Heat Map below reveals the distribution of the 4 042 exemplary startups & scaleups we analyzed for this research. Further, it highlights 5 deep learning startups that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these 5 startups & scaleups in this report. For insights on the other 4 037 deep learning solutions, get in touch with us.

T-Fashion provides Trend Forecasting

Founding Year: 2019
Location: Istanbul, Turkey
Industry: Fashion
Partner to gather Customer Intelligence

Turkish startup T-Fashion provides trend forecasting for the fashion industry. The startup uses deep learning algorithms to extract information from social media posts and provide personalized trend analytics and customer insights. The startup’s platform allows companies to define their target audience and understand their sentiments about the offerings. It enables fashion companies to optimize product inventory according to market data. This in turn leads to better decisions, higher margins, and higher sales. Moreover, the platform enables companies to plan social media campaigns and lower marketing costs.

Endimension offers Medical Image Analysis

Founding Year: 2018
Location: Mumbai, India
Industry: Healthcare
Collaborate for Early Disease Detection

Indian startup Endimension develops an AI-based diagnostic image analysis platform. The startup uses deep learning and predictive analytics for early disease detection and accurate diagnosis. The startup’s cloud software automatically detects abnormalities in medical scans. The startup enables clinicians to detect COVID-19 patterns from chest imaging. The startup’s AI platform ENDIM-AI-CXR  is used for triaging patients and acts as an assistive tool for technicians and physicians. The startup aids clinics to reduce the workload of radiologists and thereby improves patient turnaround time.

DEEPSITE enables Automated Document Communication

Founding Year: 2018
Location: Hong Kong
Industry: Logistics, FinTech
Reach out for Data Entry Automation

Chinese startup DEEPSITE develops automated document communication tools. The startup uses deep learning models (GNN) to extract document data. Its technology enables general table extraction and intelligently structured field extraction. The startup’s document processing automation solution instantly captures data from any documents, including supply chain documents or financial reports. With automation, the solution reduces turnaround times and the manual effort required. This allows back-end employees to read, verify, and process customer orders.

Ailetric facilitates Smart Machine Diagnosis

Founding Year: 2017
Location: Baton Rouge, US
Industries: Manufacturing, Industry 4.0
Work with Ailetric for Non-invasive Machinery Testing

US-based startup Ailetric develops deep learning-based non-invasive diagnostics for manufacturing machinery. The startup’s product, SpotCheck, analyzes audio signals of the machines, evaluates performance, and diagnoses problems. It transforms a machine into a smart device without any hardware modifications. This enables video and image analytics, document analysis, and smart supply chain management. The startup also leverages deep learning and soft sensors to improve the accuracy of inferential measurements in advanced process control at industrial plants.

AIGecko develops Food Item Recognition

Founding Year: 2020
Location: Barcelona, Spain
Industries: Food, Agriculture
Partner for Food Monitoring

Spanish startup AIGecko provides a solution for food item recognition and monitoring. It uses deep learning models with computer vision technology to recognize, identify, classify, and categorize food items while scanning. Aigecko also offers an application programming interface (API) that uses image recognition for food identification and tracking. The technology allows diabetic patients, athletes, and others to comprehend food type, ingredient information, nutrition information, and other important food data like expiry, weight, and quantity. The startup’s API integration provides smart checkout at restaurants and hotels. The smart camera option enables restaurants to identify customers and get detailed food consumption insights to optimize decision-making.

Discover more AI Startups

Startups such as the examples highlighted in this report focus on computer vision, robotic process automation (RPA), and neural networks. While all of these technologies play a major role in advancing deep learning, they only represent the tip of the iceberg. To explore more deep learning technologies, simply get in touch and let us look into your areas of interest. For a more general overview, you can download one of our free Industry Innovation Reports to save your time and improve strategic decision-making.