Is TextCortex AI free?

Yes, TextCortex is completely free to use with many of its core features. When you sign up, you receive 100 free creations. Then you will receive 20 recurring creations every day on the free plan.

Real Life Examples of AI in Manufacturing

Q: Does TextCortex offer Text Generation API?

Yes, we have a Text Generation API, please talk to us directly to implement it. You can reach out to us at contact@textcortex.com

Q: Does TextCortex offer free trial?

Yes, TextCortex offers a 14-day free trial for users to try out all features extensively with a higher number of generations. But keep in mind that you can already try many of our core features with the free plan.

In the manufacturing industry, tracking tasks, processing data from machines and production processes and translating it into actionable insights, increasing production efficiency, and knowledge management are just a few of the challenges. However, the increasing integration of artificial intelligence technology, known as Industry 4.0, into the manufacturing sector has made work faster and easier. If you're curious about real-life examples of how AI is used in manufacturing, we've got you covered!

In this article, we'll explore real-life examples of AI in manufacturing.

Ready?

Let's dive in!

TL; DR

AI in manufacturing refers to the use of artificial intelligence to increase efficiency, enhance production processes, and generate analytics.
AI technology is used in manufacturing for data-driven decision-making, automation, and data analysis.
MAHLE, a leading company in the automotive industry, uses TextCortex AI for automation, knowledge management, and data analysis.
Siemens, NVIDIA, Amazon, Intel, Rockwell Automation, GE, and IBM are companies that use AI in their manufacturing processes.

AI in Manufacturing: Industry 4.0

AI in manufacturing, also known as Industry 4.0, is the use of data-driven artificial intelligence technology to increase efficiency, enhance production processes, and enable data-driven decisions in the manufacturing sector. As in most industries, AI technology has found diverse applications in manufacturing.

How is AI Used in Manufacturing?

In the manufacturing industry, AI technologies such as machine learning, deep learning, and neural networks are used to optimize manufacturing processes, improve data analysis, enable data-driven decision-making, and automate repetitive tasks. By integrating AI technologies into manufacturing processes, companies can save time, optimize or improve processes, and eliminate repetitive workloads, allowing employees to focus on critical tasks.

How AI is Used in Manufacturing? 8 Real-life Examples

Artificial intelligence (AI) is actively transforming industries, especially manufacturing, by reducing workload, boosting efficiency, and cutting costs. Curious how? We've compiled 8 top examples of AI in manufacturing and its benefits.

1. TextCortex Knowledge Management at MAHLE

MAHLE is a leading company in the automotive industry. As any global enterprise, MAHLE struggled with knowledge management: locating precise information across multiple document repositories and specific pages can be challenging. With TextCortex, MAHLE has leveraged AI agents to automate specific tasks by integrating AI technology into evolving business processes.

To solve MAHLE's problem, the TextCortex team created MARVIN (MAHLE Assisted Research, Verification, Insight & Navigation), an AI agent that can generate output by connecting different data sources simultaneously. MAHLE's TextCortex integration at a glance:

Over 71% activation rate in less than a month
5+ working hours saved/user per week on information retrieval and summarization
Adoption of an enterprise-grade AI platform connecting to several different data sources (Microsoft SharePoint, Teams..) that synchronize in real time

2. Siemens

Siemens is a global service provider with a presence in manufacturing, automation, and telecommunications. The company developed industrial AI solutions for common problems encountered by both companies. Siemens uses AI technology to enhance and streamline production and manufacturing processes, automating specific tasks with AI agents to improve industrial automation. With AI, Siemens reduces machinery costs, improves automation consistency, and delivers instant data for quick adjustments.

Examples of AI in Manufacturing — Source: https://www.siemens.com/global/en/products/automation/topic-areas/industrial-ai.html

3. NVIDIA

NVIDIA is a company renowned for developing computer parts and powerful GPUs, working with clients in manufacturing, energy, financial services, and telecommunications. NVIDIA, whose value has increased and its growth has continued since the pandemic, is a leading company leveraging artificial intelligence technology and offering end consumers AI-powered technologies such as frame generation and DLSS (Deep Learning Super Sampling). NVIDIA uses AI technology both to enhance its customer offerings and to boost employee productivity by reducing workload.

4. Amazon

Amazon is one company using AI technology in manufacturing. Amazon uses AI-powered robots called Vulcan, which utilize force feedback sensors and computer vision technology, and possess a human-like sense of touch, to organize inventory. It eliminates the need for workers to struggle with ladders or other tools in awkward positions. Furthermore, these machines can operate 24/7, increasing productivity and ensuring inventory remains organized.

5. Intel

Intel uses AI technology in manufacturing to generate real-time data, fine-tune workflows, and generate actionable insights. Another way Intel uses AI technology in manufacturing is to simulate the production process virtually and perform predictive maintenance. It allows Intel to anticipate potential problems in the production process and generate insights to improve the process.

6. Rockwell Automation

Rockwell Automation aims to improve artificial intelligence-enhanced reinforcement systems, cybersecurity, analytics, and other aspects of the manufacturing processes. Smart automation blends machine learning and AI modules to predict outputs, streamline operations, and automate tasks.

7. GE (General Electric)

GE's AI offers and utilises features that enable manufacturers to prioritise both safety and efficiency. GE leverages AI technology in automation, computer vision, simulation, and robotics. GE utilises AI technology and offers autonomous robotics systems, developed for automation and analytics, to its clients.

8. IBM

IBM offers machine learning and artificial intelligence-powered tools that aim to reduce production times and costs for companies. IBM uses AI technology for predictive analytics and automation. IBM's AI technology can identify business trends, potential risks, and production improvements. Thus, companies can utilize IBM's AI technologies to enhance manufacturing processes and increase efficiency.

Frequently Asked Questions

Which company uses AI in manufacturing?

Top companies using AI in manufacturing:

MAHLE
Siemens
NVIDIA
Amazon
Intel
Rockwell Automation
GE (General Electric)
IBM

What is the current state of AI in manufacturing?

AI is actively used in the manufacturing industry today to automate tasks, generate actionable insights by analyzing data, automate manufacturing processes, and manage knowledge. If you're looking for an AI solution to enhance your manufacturing, TextCortex, with its knowledge management and workflow automation capabilities, is the way to go.

What are AI agents for the manufacturing industry?

AI agents for the manufacturing industry are artificial intelligence technologies developed to automate repetitive and routine workflows. For example, TextCortex AI agents allow you to automate repetitive tasks like knowledge management, data analysis, and email writing, or even your company's specific workflows.

Questions? Answers.

How does TextCortex work?

TextCortex is a robust enterprise-ready business software designed for companies aiming to integrate AI with their own data and knowledge. It provides advanced features for managing the lifecycle of knowledge and content, catering specifically to business needs such as content creation, data analysis and knowledge management.

What's the difference between TextCortex, Microsoft Copilot & ChatGPT?

TextCortex is a customizable platform that sets itself apart from Microsoft Copilot and ChatGPT by allowing businesses to tailor AI for specific use cases, automate workflows, and receive detailed, personalized responses. It integrates seamlessly with many tools, such as the Microsoft Suite, and features precise information retrieval with collaborative knowledge management on a GDPR-compliant EU infrastructure. Access to leading AI models, including the GPT models, guarantees exceptional capabilities while offering the flexibility to choose among multiple providers. With multilingual support and an intuitive interface, TextCortex is ideal for global teams.

Which languages does TextCortex support?

TextCortex supports more than 25 languages including English, Dutch, German, Ukranian, Romanian, Spanish, Portuguese, French, Italian.

Does TextCortex offer Text Generation API?

Yes, we have a Text Generation API. You can generate an API key in your account settings and get started right away.

I have an account for myself, can I share it with my colleagues?

Account sharing is not allowed. If you need multiple seats for your team, you can explore our enterprise plan.

Does TextCortex offer free trial?

Yes, TextCortex offers 14-day free trial for users to try out all features extensively with higher number of generations. But keep in mind that you can already try many of our core features with the free plan.

How are TextCortex's reviews on G2, Trustpilot, Capterra, and other platforms?

Overall, TextCortex AI has over 2500 reviews on reputable review sites such as G2, Trustpilot and Capterra.

I cancelled my subscription, what happens to my account?

Your premium features will be available until the end of your subscription date, then your account plan will be set to Free.

I cancelled my subscription, what happens to my account?

Your premium features will be available until the end of your subscription date, then your account plan will be set to Free.

What is Retrieval Augmented Generation (RAG)?

RAG, or Retrieval-Augmented Generation, enhances language model performance by allowing it to retrieve information from external knowledge sources before generating a response. This results in more informed and contextually relevant outputs. TextCortex leverages this technology, further enhanced by our proprietary data processing, to provide enterprises with powerful and accurate solutions built on the latest advancements in AI.

What is Enterprise AI?

Enterprise AI refers to artificial intelligence solutions specifically designed for business environments, helping organizations automate processes, enhance decision-making, and drive innovation at scale. These solutions address complex business challenges while ensuring security, compliance, and integration with existing systems. TextCortex delivers cutting-edge Enterprise AI through our platform, enabling businesses to transform their operations with customizable, intelligent solutions tailored to their unique needs.

What is Enterprise Search?

Enterprise Search refers to technology that enables organizations to search and retrieve information across all their internal data sources, including documents, databases, emails, and applications. It helps employees quickly find relevant information scattered throughout the organization, improving productivity and decision-making. TextCortex enhances traditional enterprise search with AI-powered capabilities, allowing businesses to not only find information but also generate insights and answers from their data through intelligent search and retrieval.

What is a Knowledge Management Software?

Knowledge Management Software helps organizations capture, organize, store, and share institutional knowledge and information across teams and departments. It enables businesses to preserve expertise, reduce knowledge silos, and ensure critical information remains accessible to employees when needed. TextCortex elevates knowledge management by combining traditional organizational capabilities with AI-powered intelligence, allowing businesses to not only store and access their knowledge but also generate insights and answers directly from their information repositories.

Will TextCortex use our data to train AI models?

Absolutely not. None of your data will ever be used for model training or fine-tuning.

Is TextCortex GDPR-compliant?

We host our services exclusively in the European Union on GDPR-compliant servers, including third-party AI models. Any optional services or LLMs hosted outside the EU are subject to the US-EU Privacy Framework or GDPR Standard Contractual Clauses.

Which LLMs does TextCortex use?

TextCortex uses a variety of large language models (LLMs) from different providers, including the latest Claude, GPT, and Gemini models from companies like Anthropic, OpenAI, Mistral, and Google.

Real Life Examples of AI in Manufacturing

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