Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the retail industry. This time, you get to discover five hand-picked retail risk management startups.
Out of 861, the Global Startup Heat Map highlights 5 Top Retail Risk Management 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 861 exemplary startups & scaleups we analyzed for this research. Further, it highlights five risk management 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 five startups & scaleups in this report. For insights on the other 856 retail risk management solutions, get in touch with us.
CyberFortress provides eCommerce Insurance
Founding Year: 2018
Location: San Antonio, US
Funding: USD 3,2 M
Partner for: eCommerce Cybersecurity
US-based startup CyberFortress develops an insurance technology platform that offers cyber insurance for small businesses. It continually assesses an eCommerce website’s risk of an outage. The platform uses this data to determine insurance quotes and sends alerts upon detecting any downtime. Moreover, CyberFortress makes payments within 24 hours once a claim is created and confirmed. Its monthly cybersecurity policy serves to reduce the risks businesses face from cyber attacks, reducing sensitive data leaks.
Bayonet facilitates Online Fraud Prevention
Founding Year: 2016
Location: Mexico City, Mexico
Funding: USD 750 000
Partner for: Cyber Pattern Recognition
Mexican startup Bayonet offers a risk-management platform, Sigma, to reduce online payment fraud. Its machine learning (ML)-based algorithms improve accuracy in fraud detection with each new transaction. Additionally, the startup’s proprietary ML algorithms and big data analytics protect transactions by running through and analyzing millions of data points before returning decisions. This allows online retailers to detect anomalies and reduce their financial risks.
Tango Eye advances E-Surveillance
Founding Year: 2017
Location: Chennai, India
Total Funding: USD 1,2 M
Partner for: Retail Customer Analytics
Indian startup Tango Eye provides an AI-based video analytics solution to analyze CCTV footage. It features intelligent fraud management that converts surveillance videos into insights to identify suspicious behaviors and prevent security threats with real-time alerts. Additionally, the platform uses visitor footfall, concentration heat maps, shopper sentiment, customer demographics, and more to identify shopping patterns. The startup’s other solution remotely monitors workforce performance, including standard operating procedures (SOP) compliance, customer service time, and efficiency. Tango Eye’s solutions enable the retail industry to leverage existing CCTV infrastructure for retail customer analytics and threat detection.
Reflectiz provides eCommerce Website Security
Founding Year: 2017
Location: Tel Aviv, Israel
Total Funding: USD 5 M
Partner for: eCommerce Risk Mitigation
Israeli startup Reflectiz detects website vulnerabilities, threats, and privacy issues due to 3rd party applications. The startup’s security solution provides client-side security and web skimming, external domain assessment, website privacy compliance, and web vendor risk management, among others. It reduces the risks due to integrating 3rd party apps which businesses rely upon to manage, improve and grow their operations.
Chiniki Guard enables Real-time Theft Prevention
Founding Year: 2019
Location: London, UK
Funding: USD 210 000
Partner for: Shop Security
UK-based startup Chiniki Guard provides an AI-based video surveillance solution to protect stores. The startup’s platform monitors and analyzes customers as they enter the stores and classifies their actions within over 100 categories to detect suspicious actions. If the platform detects any suspicious activity, an instant report is sent through the connected applications. This enables retail store owners and managers to reduce the risk of theft and shoplifting by autonomously monitoring security camera feeds.
Discover more Retail Startups
Retail startups such as the examples highlighted in this report focus on fraud prevention, cybersecurity, shoplifting detection as well as AI and advanced analytics. While all of these technologies play a major role in advancing the retail industry, they only represent the tip of the iceberg. To explore retail technologies in more detail, simply let us look into your areas of interest. For a more general overview, download our free Retail Innovation Report to save your time and improve strategic decision-making.
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