Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into advanced computing solutions. This time, you get to discover 5 hand-picked edge computing startups.
Out of 662, the Global Startup Heat Map highlights 5 Top Edge Computing Startups
The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence (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 662 exemplary startups & scaleups we analyzed for this research. Further, it highlights 5 edge computing 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 657 edge computing solutions, get in touch.
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Foghub develops an Operational Intelligence Platform
Founding Year: 2019
Location: Seattle, US
Industries: Manufacturing, Industry 4.0
Foghub is a US-based startup that offers an all-in-one edge computing, edge analytics, data engineering, and operational intelligence platform. The startup’s Foghub platform is scalable as well as handles large volumes and velocity of data. Further, it comes with built-in tools for computation and analytics that analyze data from sensors, assets, and manufacturing processes. The platform transforms the way real-time operations data is leveraged by making data available, contextually relevant, and useful for manufacturing organizations.
Akridata builds End-to-End Data Infrastructure
Founding Year: 2018
Location: Los Altos, US
Funding: USD 16,1 M
Industries: Automotive, Retail, Smart Cities
US-based startup Akridata develops an edge data platform for data-centric artificial intelligence. The platform provides a decentralized structure and scalable process to simplify AI data operations and deliver relevant data sets. The startup’s end-to-end infrastructure solution organizes streams of data flowing from edge to core to cloud. For the automotive sector, it analyzes data from sensors in autonomous vehicles. This allows automotive companies to intelligently ingest, transfer, store, and immediately access relevant data.
AiKaan facilitates Edge Device Management System
Founding Year: 2018
Location: Bangalore, India
Funding: USD 84 000
Industries: Robotics, Mobility
AiKaan is an Indian startup that develops an edge computing platform. The startup’s software solution allows companies to remotely access, upgrade, and monitor internet of things (IoT) edge devices and applications in a secure manner. It maximizes the up-time of edge applications and embedded computing devices. Further, the platform continuously monitors the health of the system, applications, and network to provide a comprehensive view of the condition of Internet of Things (IoT) deployments.
IOTech Systems offers Scalable Edge IoT
Founding Year: 2017
Location: Newcastle upon Tyne, UK
Funding: USD 10 M
Industries: Oil & Gas (O&G), Telecom
British startup IOTech Systems develops, deploys, and manages IoT systems at the edge. The startup’s solutions enable businesses to connect and acquire real-time sensor data, run edge intelligence, and integrate with any cloud. Further, the software provides complete deployment flexibility as well as manages edge applications and nodes at scale. As the oil and gas industry faces communication issues, the adoption of startup’s Edge Xpert for edge computing allows O&G companies to bring data analysis closer to where it is collected.
ContextAI enables Predictive Analytics
Founding Year: 2017
Location: Glienicke, Germany
Industries: Retail, Logistics
ContextAI is a German startup that offers edge computing solutions for reactive AI. The startup’s solutions leverage real-time data for predictive analytics. This allows enterprises to leverage this data and improve their offerings. For instance, it enables retail stores to implement advanced vision and data fusion techniques to identify customer interactions with products.
Discover more Edge Computing Startups
Startups such as the examples highlighted in this report focus on predictive quality, IoT management, and real-time analytics solutions. While all of these technologies play a major role in advancing edge computing, they only represent the tip of the iceberg. To explore more edge computing solutions, simply get in touch to 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.
