When data is not enough, Whyond provides the context.

Let us realise your project together.

Whether it is an initial introduction, process consulting, or concrete implementation – we support you with expertise and enthusiasm.

Get in touch now.
Kausales Netzwerk auf dunkelblauem Hintergrund mit Einflussfaktoren wie Niederschlag, Temperatur, Nebel, Reibung und Kollisionsschwere, verbunden durch gerichtete Pfeile.

Expert Interviews and Causal Modeling

We conduct expert interviews that bring together specialists who normally have little interaction with one another. Together, they contribute their specialised knowledge to a structure that is easy to understand.

Minimal Data Identifier

Our system identifies exactly the data required to address your business questions and helps you collect it efficiently. Once the information has been gathered, we apply causal inference to provide you with fast and precise answers.

Benutzeroberfläche zur Formulierung kausaler Abfragen mit Eingabefeldern für Modellfragen, Estimand, Datenupload und einem Button zur Wahrscheinlichkeitsberechnung.
Fenster zur Berechnung von Sonderfällen mit Auswahl eines Zielknotens, Eingrenzung relevanter Variablen wie Niederschlag, Nebel, Temperatur, einem Regler für kritische Werte und Eingabefeld für Anzahl der Sonderfälle.

Corner Cases Search

Our engine detects test cases and reveals corner cases that traditional methods overlook. It complies with safety standards such as ISO-21448 and gathers evidence for regulatory approvals in order to meet their requirements.

Root-Cause Analysis

Our system pinpoints the specific environmental factors responsible for anomalies or accidents, using robust causal cause-and-effect analysis. This allows us to assess risks in portfolios using a causally informed strategy.

Horizontales Balkendiagramm mit Einflussfaktoren Precipitation, Fog und Temperature entlang der Y-Achse und Gewichtung auf der X-Achse.
Your benefits
Quantifiable Evidence for Regulatory Authorities
Clear evidence for meeting regulatory requirements.
Combine Human Knowledge and Data
Combine knowledge and data purposefully within one model.
Smart Data Collection
Capture only the data you truly need.
Uncover Overlooked Quality Issues
Make overlooked quality issues visible.
Cross-Domain
Collaboration
Effectively consolidate domain expertise from different fields.
Test Whyond for free now and save 20% on the first feature package.
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Anführungszeichen

I want to make causality visible.

I ensure the safety of autonomous systems. And I am a chess player. What connects the two? A particular way of thinking. It is about long-term perspective, analytical depth, and understanding causality. Instead of focusing on short-term wins, chess requires an appreciation of how a situation unfolds over the long run. My focus is on making causality visible. This approach is applied in the automotive industry and is also extremely important in major fields such as green tech.
Daniel, Causal chameleon
Automotive
Emergency braking assistant
Energy and environment
Grid stability
Retail and wholesale
Discount model
Transport and logistics
Train delay
Industrial sector
Quality in production
Let us talk!
Would you like to learn more about Whyond or need support for your project? We will get back to you as soon as possible - personally, directly, and solution-oriented