Table of Contents: Celonis Introduces AI Copilot for Process Map Inquiries
- German startup Celoni introduces AI-powered Copilot feature
- Celoni’s Copilot feature helps understand and optimize business processes
- Celoni’s Copilot feature visualizes multiple processes like a subway map
- Celoni’s Copilot built on top of OpenAI API for easy integration
- Celoni aims to make data access and processing easier for customers
- Celoni’s process data model and intelligent graph enhance process understanding and collaboration
German startup Celoni introduces AI-powered Copilot feature
German startup Celoni has introduced an AI-powered Copilot feature. The company, which helps customers understand their business processes, says that the new feature will make it easier for customers to use process data to make better decisions.
The Copilot feature sits beside a subway-style map that displays a customer’s processes. Users can ask questions about their processes simply by speaking to the Copilot. For example, they could ask, “What are the steps involved in our procurement process?” or “Which process takes the longest?”
Celoni CEO and co-founder Alexander Rinke said that the company built Copilot on top of OpenAI’s APIs. He said that the company considered building its own large language model, but decided that it would take too long.
The Copilot feature is currently in private beta and will be released to all customers in early 2023.
Celoni’s Copilot feature helps understand and optimize business processes
Celoni’s Copilot feature helps businesses understand and optimize their processes. The feature uses machine learning to analyze process data and identify areas where improvements can be made. The data is presented in a visual way, making it easy for businesses to see where they can make changes. In addition, Copilot provides users with real-time feedback on their changes, so they can see how their actions are impacting their processes.
One of the key benefits of Copilot is that it can help businesses save time and money. By identifying areas where processes can be improved, businesses can reduce their costs and operate more efficiently. In addition, Copilot can help businesses to improve their customer service by identifying and resolving issues before they become a problem.
The feature is currently in beta and is available to a limited number of customers. However, Celoni plans to make it available to all customers in the near future.
Celoni’s Copilot feature visualizes multiple processes like a subway map
Celoni’s Copilot feature visualizes multiple processes like a subway map. The feature uses machine learning models to generate AI-powered ads, allowing users to see how their data flows through different processes. The Copilot feature sits beside a subway map, allowing users to ask questions and see answers. Celoni’s CEO and Co-founder, Alexander Rink, stated that building the Copilot on top of OpenAI’s API was considered some time ago, but it took a year to decide to build the product.
The company decided to take a multipronged approach to solve starter challenges. This involves giving customers a standard structured way to process data inside Celoni called Process Data Models. Rink stated that combining process data models with process scenarios in one view naturally connects data, making it easier for large language models to understand. The API layer exposes the Celoni ecosystem to build applications on top of exposed data. Rink stated that the power of their ecosystem comes from combining process data models with dictionaries of process definitions to build a so-called Process Intelligence Graph. This connects different types of data with structured information about processes across business systems and departments. Celoni raised $110 million in Series D funding, and according to Crunchbase, the company has a $1.3 billion valuation.
Celoni’s Copilot built on top of OpenAI API for easy integration
Celoni’s Copilot is built on top of the OpenAI API, which allows for easy integration with existing systems and processes. The Copilot can be used to automate various tasks, such as data entry, invoice processing, and customer service. In the future, Celoni plans to expand the capabilities of the Copilot even further, by adding new features and functionalities.
Celoni aims to make data access and processing easier for customers
Celoni is a German startup that aims to make data access and processing easier for customers. The company was founded in 2020 by Alexander Rink and Carsten Thoma. Celoni has raised €14 million in funding from investors such as HV Capital and Lakestar.
Celoni’s platform uses a combination of artificial intelligence (AI) and machine learning (ML) to automate and optimize data processes. The platform can be used to connect to various data sources, such as databases, spreadsheets, and APIs. Celoni can also be used to create and manage data pipelines, which are the processes that data goes through to be transformed and analyzed.
Celoni’s customers include companies such as BASF, Bayer, and Siemens. The company has also partnered with Google Cloud to make its platform available to Google Cloud customers. In October 2022, Celoni announced that it had raised €100 million in Series B funding. The funding round was led by SoftBank Vision Fund 2.
Celoni’s process data model and intelligent graph enhance process understanding and collaboration
Celoni is a German startup that has developed a process mining platform that uses artificial intelligence (AI) to help companies understand and optimize their business processes. The company’s process data model and intelligent graph enhance process understanding and collaboration by providing a visual representation of how processes are connected and how they can be improved. Celoni’s platform has been used by a number of large enterprises, including Siemens, BMW, and Deutsche Telekom.
In recent years, there has been a growing interest in process mining as a way to improve business efficiency. Process mining tools can help companies to identify bottlenecks and inefficiencies in their processes, and then take steps to improve them. Celoni’s platform is one of the leading process mining tools on the market, and it has been recognized by Gartner as a leader in the Magic Quadrant for Process Mining.
Celoni’s platform is based on a process data model that captures the key elements of a business process, such as the activities involved, the resources used, and the sequence of steps. This data model is then used to create an intelligent graph that shows how the different elements of the process are connected. The intelligent graph can be used to identify bottlenecks and inefficiencies in the process, and to simulate the impact of changes to the process.
Celoni’s platform also includes a number of features that make it easy for users to understand and collaborate on process improvements. These features include a visual interface, a search engine, and a reporting tool. The visual interface makes it easy for users to see how processes are connected and how they can be improved. The search engine allows users to quickly find the information they need, and the reporting tool makes it easy to share process insights with others.
Celoni’s process data model and intelligent graph are powerful tools that can help companies to understand and improve their business processes. The platform is easy to use and provides a number of features that make it easy for users to collaborate on process improvements.