Health Care

Health Diagnostics

Medical Devices

Personal Health

Wearables

Aktiia

Aktiia's headquarters in Neuchâtel, Switzerland

This department focuses on ensuring the quality and reliability of software products through systematic testing and engineering practices.

Quality Engineering

The Engineering Team at Aktiia is responsible for developing and maintaining the technology behind the company's continuous blood pressure monitoring solutions. This includes designing and implementing software for mobile platforms (iOS and Android), creating and refining embedded systems, developing machine learning algorithms for accurate data processing, and ensuring the robustness and quality of the products through rigorous QA testing. The team’s diverse expertise in biomedical signal processing, system architecture, and hardware engineering drives the innovation and reliability of Aktiia’s health monitoring technology.

Engineering Team

The Customer Support & Operations team at Aktiia ensures seamless logistics, oversees global clinical operations, and delivers exceptional customer support. Their responsibilities include managing the supply chain, coordinating clinical trials, and addressing customer inquiries to maintain 24/7 blood pressure monitoring service standards.

Customer Support & Operations

This department focuses on managing and analyzing clinical data to drive insights and support decision-making processes.

Data Science and Analytics

The Leadership Team at Aktiia is responsible for guiding the company's strategic direction and ensuring the successful development of its innovative 24/7 blood pressure monitoring solutions. This diverse group collaborates across multiple functions, including product development, regulatory compliance, and human resources, to drive organizational growth, foster a culture of excellence, and position Aktiia as a leader in the health tech industry. They collectively leverage their expertise in technology, medicine, and business to enhance patient care and operational efficiency.

Leadership Team

This department focuses on developing and implementing machine learning models and algorithms to enhance data-driven decision making.

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Other teams

Engineering Team

Customer Support & Operations

Data Science and Analytics

Leadership Team

Machine Learning