Isaac
Healthcare
Healthcare
Healthcare
sAipient is currently revolutionising the healthcare industry with its AI solution for better patient administration.
sAipient is currently revolutionising the healthcare industry with its AI solution for better patient administration.




Company
Saipient AG, based in Zurich, was founded by four founders with expertise in AI, cloud architecture, and healthcare start-ups.
Company
Saipient AG, based in Zurich, was founded by four founders with expertise in AI, cloud architecture, and healthcare start-ups.
Company
Saipient AG, based in Zurich, was founded by four founders with expertise in AI, cloud architecture, and healthcare start-ups.
Company
Saipient AG, based in Zurich, was founded by four founders with expertise in AI, cloud architecture, and healthcare start-ups.
Goal
The aim was to build an app and a web application that doctors can use to record and transcribe their patient conversations. The application uses AI to analyse complex patient cases, automates billing processes, and enables dictation and the inclusion of notes.
Goal
The aim was to build an app and a web application that doctors can use to record and transcribe their patient conversations. The application uses AI to analyse complex patient cases, automates billing processes, and enables dictation and the inclusion of notes.
Goal
The aim was to build an app and a web application that doctors can use to record and transcribe their patient conversations. The application uses AI to analyse complex patient cases, automates billing processes, and enables dictation and the inclusion of notes.
Goal
The aim was to build an app and a web application that doctors can use to record and transcribe their patient conversations. The application uses AI to analyse complex patient cases, automates billing processes, and enables dictation and the inclusion of notes.
Implementation
Saipient was developed with a Vue.js frontend and a Django backend and runs seamlessly on the web, iOS, and Android thanks to Capacitor. During patient sessions, the app records audio data, transmits it securely to Azure-hosted service,s and processes it in the background. Using a finetuned speech-to-text model for transcription and a dedicated LLM for interpretation, the system automatically generates summaries and extracts key information such as symptoms, prescriptions, and billable service types. The infrastructure is fully defined in Terraform and deployed using a secure, scalable cloud-native architecture on Microsoft Azure.
Implementation
Saipient was developed with a Vue.js frontend and a Django backend and runs seamlessly on the web, iOS, and Android thanks to Capacitor. During patient sessions, the app records audio data, transmits it securely to Azure-hosted service,s and processes it in the background. Using a finetuned speech-to-text model for transcription and a dedicated LLM for interpretation, the system automatically generates summaries and extracts key information such as symptoms, prescriptions, and billable service types. The infrastructure is fully defined in Terraform and deployed using a secure, scalable cloud-native architecture on Microsoft Azure.
Implementation
Saipient was developed with a Vue.js frontend and a Django backend and runs seamlessly on the web, iOS, and Android thanks to Capacitor. During patient sessions, the app records audio data, transmits it securely to Azure-hosted service,s and processes it in the background. Using a finetuned speech-to-text model for transcription and a dedicated LLM for interpretation, the system automatically generates summaries and extracts key information such as symptoms, prescriptions, and billable service types. The infrastructure is fully defined in Terraform and deployed using a secure, scalable cloud-native architecture on Microsoft Azure.
Implementation
Saipient was developed with a Vue.js frontend and a Django backend and runs seamlessly on the web, iOS, and Android thanks to Capacitor. During patient sessions, the app records audio data, transmits it securely to Azure-hosted service,s and processes it in the background. Using a finetuned speech-to-text model for transcription and a dedicated LLM for interpretation, the system automatically generates summaries and extracts key information such as symptoms, prescriptions, and billable service types. The infrastructure is fully defined in Terraform and deployed using a secure, scalable cloud-native architecture on Microsoft Azure.
Result
The application for all channels has been launched. Over 250 doctors already use Isaac in their daily work. With various connections to PIS (Practice Information Systems), and more are planned.
Result
The application for all channels has been launched. Over 250 doctors already use Isaac in their daily work. With various connections to PIS (Practice Information Systems), and more are planned.
Result
The application for all channels has been launched. Over 250 doctors already use Isaac in their daily work. With various connections to PIS (Practice Information Systems), and more are planned.
Result
The application for all channels has been launched. Over 250 doctors already use Isaac in their daily work. With various connections to PIS (Practice Information Systems), and more are planned.
Software Development
AI Agents and Automation, Custom Development
Software Development
AI Agents and Automation, Custom Development
Software Development
AI Agents and Automation, Custom Development
Software Development
AI Agents and Automation, Custom Development
Business Solutions
Managed Projects
Business Solutions
Managed Projects
Business Solutions
Managed Projects
Business Solutions
Managed Projects
Digital Experience
Product and UX/UI Design
Digital Experience
Product and UX/UI Design
Digital Experience
Product and UX/UI Design
Digital Experience
Product and UX/UI Design
Client Feedback

Fabrice Guermann
Co-Founder sAipient
"We were looking for someone who would take on joint responsibility and work with us on a long-term basis. In m+p, we have found a strategic partner — and a highly professional implementation to boot."

Fabrice Guermann
Co-Founder sAipient
"We were looking for someone who would take on joint responsibility and work with us on a long-term basis. In m+p, we have found a strategic partner — and a highly professional implementation to boot."

Fabrice Guermann
Co-Founder sAipient
"We were looking for someone who would take on joint responsibility and work with us on a long-term basis. In m+p, we have found a strategic partner — and a highly professional implementation to boot."

Fabrice Guermann
Co-Founder sAipient
"We were looking for someone who would take on joint responsibility and work with us on a long-term basis. In m+p, we have found a strategic partner — and a highly professional implementation to boot."
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© 2025 mühlemann+popp AG
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© 2025 mühlemann+popp AG
Services
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© 2025 mühlemann+popp AG
Services
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© 2025 mühlemann+popp AG