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Tweris

AI-Powered CTG Fetal Monitoring

Tweris

Innovation Hub
Company Type
Valbonne, France
Location
Project work
Engagement Model
1 - 5 people
Team Size
Ongoing
Duration
$250K - $500K
Budget

About

Tweris, a healthcare technology company, has collaborated with Rubix Code on a groundbreaking mission to transform obstetrics. Focused on improving the safety and accuracy of labour monitoring, the partnership aims to revolutionise Cardiotocography (CTG) analysis during childbirth.

Challenge, approach, and impact

Manual Interpretation of CTG readings was slow

Analysing CTG data manually requires significant time and clinical effort, creating potential bottlenecks during labour where timely decisions are critical. The absence of automated support meant healthcare professionals had to dedicate substantial attention to reading and interpreting strips, slowing workflows and diverting focus from direct patient care.

Subjectivity in analysis could lead to inconsistent conclusions

Without a standardised analytical framework, CTG interpretation varied between practitioners. Individual experience, fatigue, and cognitive bias influenced readings differently, resulting in inconsistent assessments of fetal well-being. In high-stakes labor scenarios, this variability introduced unnecessary clinical risk and undermined confidence in the decision-making process.

No standardized decision support tool

Healthcare professionals lacked a reliable, evidence-based tool to guide CTG interpretation. Decisions relied heavily on individual judgment with no system to cross-reference signals against clinical benchmarks or patient-specific factors such as gestational age and maternal profile, leaving critical gaps in consistent, informed labor monitoring.

Documentation had no efficiency to record, share, or archive findings

CTG findings and clinical observations were recorded through fragmented, manual processes with no unified system to capture, share, or archive results efficiently. This created challenges for continuity of care, clinical audits, and inner team communication which increase administrative burden and raising the risk of important information being lost or mishandled.

How we built

AI & ML Solutions
Website Design
Conversational AI
Mobile Apps
Cloud Computing

Testimonials

Luka

Tweris

Verified Testimonial

As a CEO of a health-tech startup, I am very pleased to recommend Rubix Code DOO services. The team has been developing our innovative AI application in a very clever, relevant, time-saving, and cost-effective way. They also take up the technological challenges with enthusiasm.

Team structure

Client team

Luka

CEO

The client stakeholders at Tweris were working closely with the team at Rubix Code DOO

Agency team

Fullstack Developer

Production

CEO-Project Manger

Governance

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