Generative AI & Machine Learning
Generative AI and Machine Learning fuel entrepreneurial visions, promising positive impacts on revenue, profit, and competitive positioning. The challenges: defining use cases, and establishing the right data foundations and organizational prerequisites like skills, processes, and system integration. It sounds more complex than it is. Often, starting with simple use cases and proof-of-concept projects is worthwhile.
Whether it’s powerful AI-supported searches for a top-notch customer experience, smart personalization for more relevance, or advanced analytics for data-driven decisions, our pragmatic solutions take your business from zero to hero in the AI game.
Generative AI & Machine Learning unlock
Cost reduction through automation
Improved content quality
Enhanced user & employee experience
Increased process efficiency
Simplified decision-making
Customer service relief
Higher conversion rates through personalization
What we do
AI Semantic Search
Find what you’re looking for - every time. Modern AI models deliver more relevant and precise search results through semantic embeddings and natural language processing (NLP).
AI Conversational Search
Say goodbye to keyword searches. Conversational search allows intuitive, natural language interactions between users and search engines or large language models.
AI Product Recommendation
Just right: Machine learning models based on cart analysis or similar buyer behavior generate personalized content and recommendations for users.
Advanced Analytics & Prediction
Think beyond the tech horizon: Derive deeper insights from data to improve business decisions and uncover new opportunities. Smart predictions and decision-making using techniques like regression or clustering.
AI/ML Readiness
Assessing an organization’s readiness for AI and Machine Learning involves several aspects: strategic alignment and company-specific challenges, data infrastructure, technological maturity, and the AI readiness of employees.
AI/ML Readiness: Entering the Race.
The AI/ML Readiness of a company includes assessing its strategic alignment, data infrastructure, technological maturity, and the competence and willingness of employees to utilize Artificial Intelligence and Machine Learning.
Get an Overview
Together, we define and align the vision and opportunities of AI/ML in your company. What problems can AI/ML solve, and how do they contribute to company goals? These questions are answered by summarizing key use cases, including necessary data sources and other technological requirements.
Determine Maturity
We check if the required data is available in adequate quality within the company and if there is already a technological foundation on which AI/ML models can be built. We also assess the readiness for deployment and transformation, such as suitable management and governance mechanisms.
Determine Maturity
We check if the required data is available in adequate quality within the company and if there is already a technological foundation on which AI/ML models can be built. We also assess the readiness for deployment and transformation, such as suitable management and governance mechanisms.
What sets us apart
Delivery Excellence
Delivering is our top priority. Through smart management, we keep projects on track from discovery to go-live and beyond.
Holistic View
Our experience allows us to quickly grasp the necessary context and then take responsibility for specific domains or even overall coordination.
Deep Tech Expertise
Our tech experts work on complex architectures and maintain solutions at the highest level, always ready for the next upgrade.
Best-of-Breed for Every Need
Benefiting from our partner ecosystem, we are able to model the right technology stack for every use case.
Collaboration at Eye Level
We work in partnership and integrate seamlessly into project teams, developing suitable solutions with openness and pragmatism.
Ready for more?
Let's talk ideas, challenges, needs, and solutions.
