Discover 5 Top Startups offering Anomaly Detection Solutions

Curious about new technological advancements? Explore our analysis of 412 global startups & scaleups and learn how their anomaly detection solutions impact your business!

Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights. This time, you get to discover 5 hand-picked startups offering anomaly detection solutions.

Out of 412, the Global Startup Heat Map highlights 5 Top Startups offering Anomaly Detection Solutions

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 412 exemplary startups & scaleups we analyzed for this research. Further, it highlights 5 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 407 anomaly detection solutions, get in touch with us.

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Aidoc develops Radiological AI

Founding Year: 2016
Location: New York City, USA
Funding: USD 127,5 M
Partner for: Decision Support Software
Industry: Healthcare

US-based startup Aidoc delivers a wide portfolio of AI solutions to ensure the immediate and long-term quality of healthcare. The startup’s FDA-cleared suite of solutions detect acute pathologies and provide intelligent care management workflows across service lines, including radiology, critical care, neurosurgery, cardiology, pulmonology, and vascular surgery. Aidoc’s solutions identify and communicate acute anomalies in medical images, facilitating clinical decision-making while saving time for patients and doctors.

Alexis Networks offers One-Click Anomaly Detection

Founding Year: 2019
Location: Princeton, USA
Funding: USD 5 M
Partner for: Data Preparation
Industries: Pharma, BioTech, Retail, FinTech

Alexis Networks is a US-based startup that creates an AI-as-a-service platform that uses big data, blockchain, and machine learning. The platform features a plug-n-play architecture with one-click install, one-click configure, and one-click anomaly detection. Alexis Networks’s proprietary technology allows enterprises to use in-house data without data preparation or modification. This avoids the complicated and expensive feature engineering that is normally associated with similar software tools. Therefore, the startup’s platform enables enterprises to build business solutions rapidly, avoiding data limitations.

Jepto facilitates Marketing Data Management

Founding Year: 2018
Location: Sydney, Australia
Partner for: Search Engine Optimization (SEO) Automation, Pay per Click (PPC) Intelligence
Industries: Data Management, Digital Marketing

Australian startup Jepto develops an analytics and automation platform for marketing data management. The platform utilizes machine learning algorithms, with configurable sensitivity settings, to identify anomalies and outliers in the data and sends notifications by slack or email about any unusual events. Moreover, when an anomaly is detected, an insight card is created to offer all the necessary information to understand the anomaly along with corrective measures. This allows marketing managers to monitor relevant metrics and control the thresholds to avoid alert fatigue or under-alerting, which is currently a resource and time extensive task.

Ekkono Solution creates Virtual Sensors

Founding Year: 2016
Location: Traslovslage, Sweden
Funding: USD 2,9 M
Partner for: Drift & Anomaly Monitoring, Sensor Digital Twin
Industries: Industry 4.0, Healthcare

Swedish startup Ekkono Solution provides machine learning-based software solutions for the Internet of Things (IoT) sensors and systems. The startup’s software development kit allows companies to replace physical sensors with virtual sensors that function as a reference for monitoring drift and anomalies. Virtual sensors measure signals without the need for a physical sensor and the readings are instead generated from a model of the physical one. This enables industrial operations to replace expensive sensors in the field and use the sensor’s digital twin to identify potential problems.

Smartia provides Industrial Analytics

Founding Year: 2018
Location: Bristol, UK
Partner for: Inspection Automation, Predictive Maintenance
Industries: Industry 4.0, Manufacturing

Smartia is a UK-based startup that provides scalable AI solutions to convert industrial sensor data into actionable insights. Its automated motor defect detection solution uses cameras to capture images of commutator bar surfaces as well as identifies and labels different types of defects from the image data. The system then classifies images as defective or not using generative adversarial networks (GANs). This allows laborious manual inspection to be automated with high accuracy while reducing manpower and operational costs for industrial plant owners and operators.

Discover more Tech Startups

Startups such as the examples highlighted in this report focus on computer vision, digital twin, AI, and machine learning. While all of these technologies play a major role in advancing the industry, they only represent the tip of the iceberg. To explore anomaly detection solutions in more detail, 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.

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