Top Manufacturing Process Analytics Startups

Provider of AI-based production data analysis software. It offers an automated collaboration platform for data engineers. Its features include collecting operational data from the machines, production optimization, predictive maintenance program, 3D and photogrammetry pipelines, and data quality management. It also facilitates digital twin modeling. Its applications are in manufacturing, the oil and gas industry, and power and utilities.

Seeq is an industrial data analytics solutions provider. It offers big data analysis solutions that help analyze and understand industrial process data (IPD) better and faster than standard solutions. The features include reduced time for analysis, easier relationship discovery, ERP and other systems integration, support for business intelligence (BI) software such as Excel, Tableau, SAS, and MATLAB, and collaboration support.

Provider of web and app-based measuring instruments and automation solutions for industrial applications. The platform allows users to track energy usage, generate & analyze energy reports, optimize production processes, integrate data into higher-level systems, and more. The product offerings include Memograph MRSG45 - a data management & visualization system, eSight MSE10 - an energy management software, Enercal RS33 - a steam calculator tool, and more. Its app is available for Android devices.

Cloud based business and market intelligence tools for enterprises. The platform offers predictive analytics and market segmentation tools. It provides business strategies that help decision-makers to predict consumer behavior. It provides optimization tools to solve mathematical programming problems. Features include underwriting, customer management, application fraud, and more.

Provider of connectivity solutions for IoT applications. It is an enabler of machine-to-machine communications worldwide providing wireless module technology, services, and connectivity. It develops, produces, and markets modules for short range-RF applications. The company also provides IoT platforms and connectivity solutions. It is used in various segments like telematics and transportation, healthcare, smart cities, retail, and agriculture.

Instrumental offers inspections stations and intelligent software tools for optimizing products and manufacturing lines through machine learning algorithms. Its product offerings include Instrumental DEV for issue discovery, failure analysis, and corrective actions during the hardware development process, and Instrumental MP for operations and manufacturing teams to save rework costs and field failure analysis. It enables companies to identify the defective unit, carry out the root cause analysis, monitor the manufacturing line remotely, and others. Its clients include Foxconn, Goertek, Pegatron, flex and others.

Cognex is a developer of machine vision software and industrial bar code readers. Their product offering for machine vision is named In-Sight which provides high speed image acquisition and processing for industrial purposes. They provide the necessary software that works alongside the sensor for system validation. The Cognex Connect application allows communication and integration of the system with any robot or PLC.

Haber provides AI and IoT based automation platform for industrial applications. The platform transforms unstructured data into actionable intelligence by spotting trends and relationships between critical parameters. The solution collects this data through sensors put up across the plant and can monitor mechanical, chemical, and operational parameters. It provides solutions for industries like pulp and paper packaging, instututional, food, and beverages.

Tulip provides IoT-based software solutions for manufacturing enterprises to improve efficiency, share practices, reduce downtime, and increase the consistency and safety of manual processes. It enables enterprises to integrate any sensor with existing equipment on the shop floor to collect data and provide insights into each step of the manufacturing process. It can also be integrated with the existing manufacturing legacy systems for reporting and intelligence.