Context-based AI for education, sport and business in Switzerland

SteP-met connects existing data, platforms, and processes to AI via secure interfaces. This delivers targeted analyses, recommendations, and assistance features based on a concrete, authorized context.

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Context-based AI

Schwarzes Liniensymbol eines Zahnrads mit Schaltkreislinien und einem nach rechts zeigenden Pfeil, das Automatisierung oder Technologie symbolisiert.

Secure integration

Zwei schwarze Zahnräder mit gebogenen Pfeilen, die Einstellungen oder Prozessautomatisierung symbolisieren.

Scalable operations

Drei Sechsecke mit gebogenen Pfeilen darum, die Recycling oder Rotation andeuten.

A modular approach for different sectors

Realise the value of your existing data with AI

The true value of AI lies in its understanding of actual context. That is why SteP-met does not develop detached generative AI. Instead, relevant and authorised information is extracted from existing systems in a targeted manner. This can include learning and performance data, training records, knowledge bases, support information or corporate data.

The core principle follows a clear process

Wolke und Zahnrad über gestapelten Datenbanksymbolen mit nach oben gerichteten Pfeilen, was auf Datenverarbeitung oder Synchronisierung hindeutet.

Data source

Existing learning, performance, support or corporate data form the foundation.

Schwarze Wolke mit schaltkreisartigen Linien und Knoten, die Cloud Computing oder Netzwerkverbindungen symbolisiert.

Secure integration

Existing learning, performance, support or corporate data form the foundation.

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Context preparation

Only relevant information authorised for the specific use case is made available.

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AI analysis

The AI evaluates the concrete context rather than simply generating generic content.

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Result

This yields analyses, recommendations, learning support, challenges or assistance functions.

AI solutions for different use cases

From schools and universities to sports clubs and businesses, SteP-met unlocks existing information where it is needed most. In education, the technology can incorporate learning progress, assignments, and learning pathways. In corporate training, the focus centers on training data and competency models. In sport, performance, match, and training data can be evaluated. Businesses, in turn, can integrate knowledge bases, products, processes, and support contexts.

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Evaluate a specific usage strategy as a pilot

Secure integration: the bridge between your data and AI

The interface connects existing systems with context-based AI. SteP-met is not tied to a single platform. Depending on the application, LTI 1.3, LMS integrations, APIs, data providers or custom interfaces can be deployed.

The architecture prioritises data privacy and is designed for controlled data processing. Where feasible, information can be processed pseudonymously or without real names within the AI context. Concrete implementation aligns with the data protection, security and governance requirements of the respective institution or enterprise. Operations run on Microsoft Azure and are built for scalable deployment scenarios.

Evaluate a specific usage strategy as a pilot project

Looking to leverage existing data and systems for targeted AI-driven analysis or assistance functions? We can work together to evaluate a clearly defined use case.