Discover 5 Top Machine Learning Startups impacting Process Industries

Curious about new technological advancements in the process industries? Explore our analysis of 449 global machine learning (ML) startups impacting process industries and learn how their solutions advance your business!

Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the process industries. This time, you get to discover five hand-picked machine learning startups impacting process industries.

Out of 449, the Global Startup Heat Map highlights 5 Top Machine Learning Startups impacting Process Industries

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 449 exemplary startups & scaleups we analyzed for this research. Further, it highlights five machine learning 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 444 machine learning solutions for process industries, get in touch with us.

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Inovako facilitates In-Process Inspections

Founding Year: 2018
Location: Istanbul, Turkey
Work with Inovako for Quality Management

Turkish startup Inovako develops DeepMaster, a no-code AI vision platform for quality inspection in production lines. It allows manufacturers to import image classes and rapidly train, test, and optimize models using deep learning. For example, Inovako’s solution for the food industry optimizes meat fat grading and bread surface inspection and detects cracks or spatters for welded components in the manufacturing sector. This flexibility and scalability allow process industries to speed up quality audits in the production line to reduce rework or wastage.

Hoow Foods offers a Smart Food Formulator

Founding Year: 2018
Location: Singapore
Funding: USD 2,2 M
Use this solution for Nutritional Profiling

Hoow Foods is a Singaporean startup that provides a smart food formulator. The startup’s proprietary solution, RE-GENESYS, maps novel ingredients with improved nutritional profiles over reference product ingredients. Its dairy- and gluten-free egg substitute, Hegg, and low-calorie ice cream, Callery’s, offer healthier alternatives to conventional food choices. Foodtech companies leverage the Hoow’s solution to design healthier food based on consumers’ demands.

AutoMetrics enables Welding Quality Monitoring

Founding Year: 2020
Location: Vancouver, Canada
Funding: USD 100 000
Innovative with AutoMetrics for Automated Welding Inspection

Canadian startup AutoMetrics provides Inspection 4.0, a tool for monitoring industrial welding quality. It leverages ML to monitor welding operations in real-time via process level quality indicators. Further, it detects detrimental deviations and sends feedback to a remote monitoring unit. The notifications and commands locate the defect and provide a root cause analysis. This intelligent monitoring and detection solution enables manufacturers to prevent material waste, reduce costs, and minimize machine downtimes.

Potion simplifies Beauty Product Formulation

Founding Year: 2018
Location: San Francisco, USA
Funding: USD 100 000
Use this solution for Product Outcome Simulations

US-based startup Potion offers AI-powered formulation tools. The startup uses general adversarial networks (GANs) and recurrent neural networks (RNNs) to formulate new products or reformulate existing ones based on market trends. Besides, Potion allows researchers to simulate product outcomes before the testing phase and reduces process failure risks. This enables beauty and personal care product manufacturers to formulate better products and reduce development times.

Sewts automates Deformable Material Handling

Founding Year: 2019
Location: Munich, Germany
Funding: USD 500 000
Partner for Automated Industrial Laundry Management

Sewts is a German startup that automates deformable material handling using an intelligent system. The startup combines ML, computer vision, robots, cameras, and a software suite to enable robotic handling of clothes, rubber part assemblies, and cable harnesses. Sewts also uses synthetic data, complex materials simulations, and non-deterministic automation processes to increase the efficiency of its material handling system. For example, for industrial laundry management, its VELUM solution automates the washing, drying, and folding of textiles. Similarly, Sewts’s solution finds applications in food processing and wiring harness manufacturing and enables reductions in labor costs.

Discover more Startups impacting Process Industries

Startups such as the examples highlighted in this report focus on quality management, manufacturing process automation, production monitoring as well as AI and computer vision. While all of these technologies play a major role in advancing the process industries, they only represent the tip of the iceberg. To explore process industry solutions in more detail, let us look into your areas of interest. For a more general overview, download one of our free Industry Innovation Reports to save your time and improve strategic decision-making.

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