Out of 327, the Global Startup Heat Map highlights 5 Top Automotive Production Startups
Startups such as the examples highlighted in this report focus on shop floor management, production data analytics, digital manufacturing, and real-time quality validation. While all of these technologies play a significant role in advancing the automotive sector, they only represent the tip of the iceberg. This time, you get to discover five hand-picked automotive production management startups.
The Global Startup Heat Map below reveals the geographical distribution of 327 exemplary startups & scaleups we analyzed for this research. Further, it highlights five automotive startups that we hand-picked based on scouting 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 322 automotive production management startups, get in touch with us.
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aucobo develops a Shop Floor Management Platform
Founding Year: 2016
Location: Stuttgart, Germany
Funding: USD 27 600
Collaborate with aucobo for Escalation Management
German startup Aucobo provides a shop floor management platform that improves human-machine connection and increases the efficiency of automotive production. That startup’s hardware-software interface module, aucobo connector, connects shop floor equipment and software systems with its other product, aucobo core. The latter is the startup’s software that handles device management, task management, workflow editing, user/role management, and data analytics. It enables machine operators to report machine defects and automatically informs the asset owners, streamlining the escalation process and decentralizing shopfloor communications.
Teranalytics offers Production Data Analytics
Founding Year: 2016
Location: Boston, USA
Partner with Teranalytics for Demand Planning
US-based startup Teranalytics creates custom production data analytics and AI solutions to solve operational challenges. The startup’s data scientists study data related to production, inventory, and process parameters to identify the challenges in production processes and product development. Teranalytics uses this information to create AI models that provide insights into demand planning, inventory optimization, and production optimization. This provides automotive manufacturers the tools to optimize production operations and product development, maintaining a sustainable competitive edge.
If Else Cloud offers a Digital Manufacturing Platform
Founding Year: 2017
Location: Auckland, New Zealand
Use If Else Cloud’s solution to Productivity Trend Analysis
If Else Cloud is a New Zealand-based startup that builds a digital manufacturing platform, Kypeco. It gathers the data from manufacturing units that are otherwise siloed in traditional manufacturing process control. It uses machine learning (ML) to provide real-time insights into process parameters and equipment performance. These insights allow agile job scheduling as well as enable floor managers to track operational efficiency, issues, and concerns, analyze productivity trends, and trace products.
Mazlite offers a Spray Monitoring Platform
Founding Year: 2017
Location: Toronto, Canada
Funding: USD 232 000
Innovate with Mazlite for Painting Process Optimization
Canadian startup Mazlite develops a spray monitoring platform that digitizes spray and particle coating processes on automotive bodies. The startup’s proprietary sensor captures real-time process data using images of droplets, particles, and bubbles. The platform uses this data to determine their sizes and characterize multi-phase systems. It also allows for control of devices and enables plant managers to access data from anywhere. Additionally, Mazlite utilizes AI to monitor paint process parameters, compare them with previous data, and simulate the spray process. This enables quality assurance and improves painting line control.
WorkClout advances Quality Management
Founding Year: 2018
Location: City of Industry, USA
Funding: USD 2,3 M
Partner with WorkClout for Real-time Quality Validation
WorkClout is a US-based startup that streamlines quality management. The startup’s software captures production line data by visual scanning and field validations to prevent errors. It achieves this by allowing workers to take pictures, fill out forms, create corrective actions, view work instructions, and capture data through mobile devices. This provides managers with real-time visibility into floor operations, allowing measurement of worker performance and implementation of continuous improvement activities. Further, it validates quality and safety checks on automotive parts and related processes, reducing financial risk and improving brand value.
Where is this Data from & how to Discover More Automotive Startups?
Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the automotive industry. The insights of this data-driven analysis are derived from our 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 & lets you scout relevant startups within a specific field in just a few clicks. To explore automotive technologies in more detail, let us look into your areas of interest. For a more general overview, download our free Automotive Innovation Report to save your time and improve strategic decision-making.
