Contact us
We use AI to transform fragmented health data from documents, systems, medical devices, and wearables into clean, standardized, AI-ready outputs,
WITHOUT months of custom parsing, mapping, and manual clean-up.
Health data comes in various formats, making it tough for systems to communicate. This can lead to data loss or misinterpretation, impacting care quality.
Different systems represent the same data in different ways, such as different naming conventions, different date formats, or different units of measurement. This can cause confusion and errors, affecting the effectiveness of healthcare decisions.
Protecting sensitive health data is paramount. Ensuring robust security measures and maintaining patient privacy while exchanging and interpreting data is a significant challenge in healthcare.
By transforming raw clinical data into a valuable asset that can inform better health outcomes and drive efficiency in the healthcare system
Our data transformation engine transforms pathology, wearables, and home-use medical device data from different data types such as HL7, FHIR, PDFs, and images into your desired structured output and file format. GDPR, HIPAA, and PDPA compliant — simple, low-code, secure, and interoperable.
Make incoming health data usable across your systems.
JondaX uses AI to extract, structure and harmonise data from lab reports, referral documents, legacy systems, medical devices, wearables and external partners.
Instead of manually cleaning, mapping, and reformatting data across teams and systems, providers can work with standardised outputs that are clearer, more consistent, and easier to use in clinical, operational and AI workflows.
Help users get value from their health data faster.
Your users bring health data from many places: lab reports, wearables, home-use medical devices, PDFs, screenshots and legacy records.
JondaX uses AI to extract, structure and harmonize this fragmented data into clean, standardised, AI-ready outputs, so your product can power dashboards, recommendations, monitoring, and personalized user experiences without your team rebuilding data pipelines for every source.
Prepare health data for analysis faster.
JondaX uses AI to extract, structure and harmonize data from lab reports, clinical systems, PDFs, spreadsheets, medical devices, and wearables into clean, standardized, AI-ready outputs.
Reduce manual clean-up, mapping, and reformatting work, so your team can move faster from data collection to analysis, reporting and real-world evidence generation.
We don’t just build solutions; we partner with healthcare providers, researchers, and patients to truly understand their needs. It's all about working together to tackle real-world challenges.
We're on top of the latest tech trends, but we're picky. We only bring in new tech when it makes our solutions better and aligns with our mission. No fluff, just meaningful innovation. It's innovation with intention.
Health data can be a maze. We simplify it. We're here to declutter and demystify. Our solutions ensure that whether you're a clinician, researcher, or patient, you receive health data that's not just accessible but truly usable.
Your data's privacy and security? Non-negotiables for us. Safeguarding your data isn't just a priority: it's a principle. We're unwavering in our commitment to data privacy and security, adhering to global standards such as HIPAA, PDPA, and GDPR.
Health data should be for everyone. That's why we focus on crafting solutions that are easy to use and can resonate with everyone, from healthcare providers to individuals. With Jonda Health, it’s not just about making data usable: it’s about ensuring a smooth and intuitive user experience.
Jonda Health Pte. Ltd.
1 NORTH BRIDGE ROAD
#19-09 HIGH STREET CENTRE
SINGAPORE (179094)
.png)
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.
