Generative AI
Smart knowledge management and enterprise communication with your personal AI Assistant
We guide your company towards genuine AI solutions with proven use cases
"Enterprise AI in Action" Whitepaper
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Business Benefits
Workflow
Identification of business relevant use cases
Overview of IT architecture and data sources
Evaluation and selection of AI technology
Implementation and testing of the MVP
Drafting of an AI roadmap and guideline
Design and implementation of strategically important AI use cases
Generative AI technology
On-Premises (PrivateGPT) & Cloud Solutions (Azure, OpenAI, Amazon Kendra)
Showcases
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AI assistant for an energy provider
The company is still in the early stages of integrating AI into their operations. However, a significant portion of the workforce already recognizes the benefits of using large language models for knowledge management. These models will soon improve the structuring of corporate knowledge and pave the way for advanced semantic search in corporate documents. An exciting project and groundbreaking for the knowledge management of the future.Company- Energy provider, energy services
- Based in the EU
- >14K employees
- >4 Bil.€ revenue
- Exists since 1958
Solution- Created on-premises data repository
- Integrated documents, images and export from data bases
- Created semantic search engine
Results- Quicker document search for employees
- Better training time for new employees
- Chat for deriving new data from old documents (Pending)
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Smart Travel Assistant / Dynamic Search for a Tour Operator
In the near future, this company will see a revolutionary shift in how customers plan their travel, moving away from the traditional confines of static search parameters such as dates, destinations and room categories. The rise of AI-driven platforms will shift the paradigm toward a more interactive and intuitive approach to search. Travelers will thus be able to engage in dynamic dialogues with intelligent AI travel assistants. Together with our customer we are actively shaping the travel planning of the future.Company- Tour Operator, Hospitality, Retail
- Based in the EU
- 10 Tsd. Employees
- 2 Bil.€ Revenue
- Exists since 1917
Solution- Created cloud data lake
- Integrated and aggregated data from >40 sources
- Established search engine with chat function
Results- Optimized internal search for travel products
- Quality management system for product data
- Chat for improved external search (Pending)
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Intelligent maintenance of a machine factory
Working with a European engineering and development company, we are redefining the traditional maintenance process. By seamlessly integrating an AI-powered maintenance wizard, GPT* models can match introduced cloud-based dashboards for real-time monitoring with comprehensive operating instructions tailored to the company's machinery. This is condition monitoring and predictive maintenance of the future.Company- Machine construction and developement
- Based in the EU
- >200 Employees
- >50 Mln.€ revenue
- 100 years old
Solution- Created data pipelenes, introduced data quality and cleaning
- Created cloud dashboards for monitoring and guidelines
- Fine-tuned GPT models with operating instructions
Results- Overview of failures and their implications (operating and downtime costs)
- Guidelines for management and operations managers
- Maintenance assistant for quick repair
Request presentation
of our generative AI solution.
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+49 (0)6102 574 386 0
RaaS
Recommendations as a Service
Our project "AI Services for German SMEs" was funded under the Distr@l program of the state of Hesse: Validierungs-/Wachstumsförderung
Many small and medium-sized enterprises (SMEs) lack the resources and know-how for an automated analysis of their customers' behavior. However, the results of this analysis form the basis for good digital marketing and sales.
Our AI service RaaS solves this issue for SMEs. This pre-built AI service is intended for business users and is thus very different from common technical AI platforms and frameworks. The design of this service is based on an integration of multiple machine learning approaches such as customer segmentation, transaction clustering, statistical consumption analysis and recommendation engines.
The use of our recommendation service provides significant benefits for SMEs such as increasing customer loyalty, increasing marketing team productivity and improving customer service quality. The primary application group is German SMEs from the retail and e-commerce sectors.