Bias Detection
Through subgroup analyses, biases and discriminations within AI systems can be identified and addressed.
Explainable AI
How does artificial intelligence come to its decision? Often, this process is difficult to understand. However, transparency is vital for the successful use of AI. With Explainable AI (XAI), the decisions made by AI can be decoded, exposing their strengths and potential risks.
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Your journey towards trustworthy AI
We help you build trust in AI through explainable decisions
As AI increasingly permeates our world, calls for transparency grow louder. The AI Act reaffirms: Human must be at the center of every technology. Explainable AI (XAI) is a framework consisting of tools that make AI decisions understandable and traceable. This is crucial because only human trust in the technology can ensure that AI is used effectively and safely in businesses.
The inner workings of powerful AI systems are often unknown; AI is generally considered a black box. XAI opens this black box by breaking down the decision-making processes occurring within the AI system. This makes AI predictions understandable even for non-experts. This transparency is particularly important to comprehend and manage the impacts of AI decisions in real-world scenarios.
Our expertise includes the development of XAI solutions that are informative, trustworthy, and targeted to their user group. We utilize cutting-edge technologies to create custom XAI approaches that can be integrated into your IT landscape, thereby maximizing the value of your AI investments.
Business use cases for Explainable AI
Risk Management
With XAI, the (un)certainty of AI decisions can be quantified, and the model can be calibrated.
Reality Check
By analyzing the key influencing factors, it can be checked whether the AI makes decisions in a manner similar to a human.
Scenario Simulation
With XAI, it is possible to simulate how the model reacts to extreme cases or changes in external circumstances.
Process Optimization
XAI can identify the influence of certain factors on processes and suggest optimizations.
Recommender Systems
Recommendation systems that utilize XAI provide users with explanations for their suggestions.
Robustness Check
With XAI, the impact of external shocks or hidden attacks on an AI system can be estimated.
External Audits
In highly-regulated industries, XAI is already being used to prepare AI systems for external audits.
Our strength
Our ecosystem enables a holistic view of data & AI.
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Tools, Partner & Technology
10+
years of experience in Data Science, ML, and AI
100+
clients from 10 industries and growing
85+
experts from more than 17 fields of study
1,000+
successfully implemented Data and AI projects
Spotlight: Black Box Decoder
The Black Box Decoder makes the results and decisions of algorithms transparent and comprehensible, turning your AI solution into a smart, trustworthy assistant that supports you with data-driven decision-making.
A well-thought-out AI strategy enables companies to clearly define their specific goals, identify areas of application and manage the use of AI technologies in a targeted manner. This ensures that all AI initiatives are coordinated with overarching corporate goals and that a solid infrastructure, reliable data base and the necessary expertise are available. Strategic planning minimizes risks, increases acceptance and lays the foundation for sustainable success with AI.
Our advice on AI strategy forms the basis for the data-driven and AI-based transformation of your company. Together, we will work out how you can strategically implement the transformation and select the most promising deployment options for your company.
Customer Churn & Retention Prediction
In this project, we developed an automated system for managing customer churn and reactivation.
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Time Series Forecasting Engine
In this project, we collaborated with our client to develop and implement a forecasting engine for arbitrary time series data.
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Price Simulation in Retail
In this project, we developed a price simulation tool for our client that predicts the expected sales volume in the coming weeks based on the price and various other influencing factors.
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Tagging with the help of Deep Learning
For the Städel Museum in Frankfurt, we developed a deep learning model that predicts tags for artworks.
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Advantages of using Explainable AI
Check AI predictions
Assess the plausibility and reliability of an AI system’s predictions to make informed data-driven decisions.
Increase AI adoption
Increase the adoption of AI providing meaningful and relevant insights that enable users to understand and benefit from the AI’s predictions.
Build trust in AI
Promote trust-based human-machine interactions through transparent processes and explainable decisions.
Enable non-experts to work with AI
Benefit from psychologically grounded explanations that cater to different audiences and experience levels.
Benefit from Explainable AI now!
01
Free consultation
Discuss your challenges and goals in the area of Data & AI with us.
02
Tailored offer
Receive a customized and transparent offer.
03
Presentation & contract award
We present our approach to all relevant stakeholders.
04
Onboarding with project team
Our dedicated project team takes care of your needs.
