Discover 5 Top Predictive Quality Solutions for Manufacturing

Curious about new technological advancements in the manufacturing industry? Explore our analysis of 392 global startups & scaleups and learn how their predictive quality solutions impact your manufacturing business!

Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the manufacturing industry. This time, you get to discover five hand-picked startups developing predictive quality solutions for manufacturing.

Out of 392, the Global Startup Heat Map highlights 5 Top Predictive Quality Solutions for Manufacturing

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 392 exemplary startups & scaleups we analyzed for this research. Further, it highlights five 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 387 predictive quality solutions for manufacturing, get in touch with us.

Predictive-quality-for-manufacturing-Heat-Map-StartUs-Insights-noresize

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BrainCreators offers Digital Inspectors

Founding Year: 2016
Location: Amsterdam, Netherlands
Innovate with BrainCreators for Inspection Automation

Dutch startup BrainCreators develops digital inspectors to automate visual inspection tasks. The startup’s digital inspectors automate asset recognition, interpret their current state, and initiate actions to resolve issues. BrainCreator’s inspection system continuously takes in data from sensors, cameras, scanners, radar, and microscopes. It uses this data to recognize and classify deviations from plans and regulations as well as defects and provide actionable insights to prevent the same errors in future batches. This eliminates manual processing, avoiding the risk of human error in quality control.

Turation offers AI-enabled Quality Analytics

Founding Year: 2019
Location: Cambridge, UK
Collaborate with Turation for Quality Management

UK-based startup Turation uses AI to enhance data processing tasks like automated inspection, predictive maintenance, human-machine interactions, and process optimization. The startup’s AI-enabled quality analytics solution adapts quickly to any changes in the manufacturing process. This facilitates mass customization without putting extra pressure on quality management. The startup’s solution thus reduces costs associated with poor product quality, resource wastage, reworks, and product recalls.

Ascendo facilitates Fault Predictions

Founding Year: 2018
Location: Palo Alto, US
Partner with Ascendo for Customer Feedback Analytics

US-based startup Ascendo develops an AI-based self-learning engine that allows original equipment manufacturers (OEM) to solve issues, detect anomalies, and analyze customer feedback data. The startup’s platform scans through service requests, field service orders, and asset data to look for patterns and anomalies. Its predictive algorithm provides alerts of impending failure, which allows manufacturers to coordinate with end customers and schedule proactive services. The platform also determines the potential cause of failure that allows manufacturers to assign the right technician and ensure customer satisfaction.

I-MC advances In-Situ Manufacturing Control

Founding Year: 2017
Location: Pertuis, France
Partner with I-MC for Real-time Quality Assurance

French startup I-MC designs and manufactures robotic optical sensor solutions for real-time correction. The startup provides quality assurance tools for machining as well as assembly lines. Its machining control solution detects deviations during manufacturing and corrects them in real-time, avoiding reworks and preventing rejections. The startup also offers an assembly line solution that monitors the output of each station and provides corrective actions to avoid the movement of defective parts further down the assembly line. This allows manufacturers to decentralize quality control and ensure product quality while reducing production costs.

SkillReal provides Digital Twin Alignment (DTA)

Founding Year: 2016
Location: Ramat Gan, Israel
Innovate with SkillReal for Manufacturing Process Inspection

Israeli startup SkillReal develops a DTA solution that allows the early identification and correction of line setup and retrofit errors. It provides augmented reality (AR)-based visualization of the digital twin along with the heat map of its deviation from the physical asset. This aids the accurate inspection of process points of manufactured products. SkillReal’s solution shortens downtime and reduces time to market by solving quality issues before they appear in regular production.

Discover more Manufacturing Startups

Manufacturing startups such as the examples highlighted in this report focus on automated inspection, digital twins, predictive analytics, manufacturing error control systems, and process monitoring. While all of these technologies play a major role in advancing the manufacturing industry, they only represent the tip of the iceberg. To explore manufacturing technologies in more detail, simply let us look into your areas of interest. For a more general overview, download our free Manufacturing Innovation Report to save your time and improve strategic decision-making.

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