Finding Duplicates - amberSearch

Optimizing R-Biopharm’s Processes with Advanced Search

Success Stories, Breaking up data silos, Business Case, Connectors and Features, Construction, Consulting, Customer Service, Data Security, Digital Workplace, Employee Onboarding, Employee Satisfaction, Engineering, Enterprise Search, File Formats, Finding Duplicates, Image Search, Integrations, International Teams, Research and Development (R&D), Sales, Sharing Information, Use Cases

R-Biopharm AG is one of the leading biotechnology companies in Germany. The product portfolio of R-Biopharm AG ranges from analytical instruments in clinical diagnostics to nutrition care products and food & feed analysis. With technically sophisticated products, the former hidden champion from Darmstadt has developed into one of the most relevant players in this market with over 1,400 employees worldwide. However, in order to develop to this level, a lot of specific know-how is needed. R-Biopharm has not only been able to build this up successfully in recent years, but has also increasingly digitalised it.

12 Enterprise Search Use Cases Delivering Business Value

Use Cases, AI explained, amberAI, Breaking up data silos, Business Case, Connectors and Features, Construction, Consulting, Customer Service, Digital Workplace, Employee Onboarding, Employee Satisfaction, Engineering, Enterprise Search, File Formats, Finding Duplicates, Finding the right person to contact, Image Search, Integrations, International Teams, Mobile Search, Research and Development (R&D), Sales, Sharing Information

Learn how an enterprise search engine can help you too.
An enterprise search is an internal search engine used by companies to provide their employees with quick access to important information and data. It searches various data sources within a company, such as document management systems, customer and employee databases and project management tools. In today’s digital world, where companies are collecting and storing more and more data, it is becoming increasingly difficult to find the relevant information quickly.

What does the future of information management look like?

Videos, AI explained, amberAI, Breaking up data silos, Business Case, Connectors and Features, Construction, Consulting, Customer Service, Digital Workplace, Employee Onboarding, Employee Satisfaction, Engineering, Enterprise Search, File Formats, Finding Duplicates, Finding the right person to contact, Image Search, Integrations, International Teams, Mobile Search, Research and Development (R&D), Sales, Sharing Information, Start Ups, Use Cases

On November 3, our co-founder Bastian Maiworm gave a keynote on the information management of the future at the Digital FUTUREcongress in Essen.
His view of things:
Due to the fact that data is growing exponentially and the amount of data silos tends to increase, it is becoming more and more confusing and difficult for employees to access information quickly. Therefore, in the future, there will be a higher-level instance that suggests the relevant information to the employee at the right time.

amberSearch NRW Nomination for Administrative Challenge

Success Stories, Breaking up data silos, Digital Workplace, Employee Onboarding, Employee Satisfaction, Enterprise Search, Finding Duplicates, Finding the right person to contact, Sharing Information, Start Ups, Use Cases

Access to the right information and who collaborates with whom is not just an issue that affects companies. It also affects state governments and administrations. The state of North Rhine-Westphalia, in cooperation with the company PD, has therefore issued a call for tenders to startups for the administration’s biggest challenges.

RAG AI Integration: Transforming Data Management

Success Stories, Breaking up data silos, Construction, Digital Workplace, Employee Onboarding, Employee Satisfaction, Engineering, Enterprise Search, Finding Duplicates, Finding the right person to contact, Integrations, Sharing Information, Start Ups, Use Cases, Videos

Hard Coal mining in Germany is history, but the expert knowledge from 150 years should remain. But how can information hidden in millions of documents on numerous servers be made efficiently usable? To solve this problem, RAG is relying on technical innovation and artificial intelligence (AI) to unlock valuable knowledge for employees and make it easily accessible. The company is receiving support from Aachen-based start-up amberSearch (formerly ambeRoad), which is designed to take the company-wide search engine to the next level.

Engineering Solutions by Müller Maschinentechnik

Success Stories, Breaking up data silos, Business Case, Connectors and Features, Customer Service, Data Security, Digital Workplace, Employee Onboarding, Employee Satisfaction, Engineering, Enterprise Search, File Formats, Finding Duplicates, Finding the right person to contact, Integrations, Mobile Search, Sharing Information, Start Ups, Use Cases, Videos

The statistics show it: Accessing the right information in the company is increasingly difficult. For example, every third search in the company already takes between 5 and 25 minutes. What’s more, in 67.5% of all cases it takes at least 3 searches to find the right information. This trend is not only felt by large companies with thousands of employees, but also by medium-sized companies with dozens or hundreds of employees. The reasons for this are trivial: rapidly increasing data volumes, employee fluctuations and an increased number of options for storing information.

Using data from 150 years of coal mining for the tasks of the future

Use Cases, Breaking up data silos, Construction, Digital Workplace, Employee Onboarding, Employee Satisfaction, Engineering, Enterprise Search, File Formats, Finding Duplicates, Finding the right person to contact, Image Search, Integrations, Mobile Search, Sharing Information, Start Ups

Search engines like Google and others show the way: Enter keywords or a short question and the result you are looking for is there. The “KISS42” project promises the answer to all operational questions for RAG. In cooperation with an interdisciplinary RAG team, the start-up amberSearch from Aachen developed the intelligent search engine amberSearch — designed for the specific data and requirements of the company. It not only helps to make research in RAG’s documents efficient for employees, but above all to make the archived knowledge from 150 years of coal mining usable for current operational tasks.

amberSearch exceeds Siemens Energy’s expectations in the Digital Info Management Challenge

Success Stories, Breaking up data silos, Customer Service, Digital Workplace, Employee Onboarding, Employee Satisfaction, Engineering, Enterprise Search, Finding Duplicates, Finding the right person to contact, International Teams, Mobile Search, Research and Development (R&D), Sales, Sharing Information, Start Ups, Use Cases

At RuhrSummit 2020, amberSearch won the Digital Info Management Challenge by Siemens Energy. After RAG, this is the second major customer for the fast-growing startup amberSearch.

Generative AI and its use in the company

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