Clean output from any source, any format, any language.
JondaX is a near real-time health data transformation engine. Send health data in any format. Get structured, coded, regulation-ready output via REST API in the way you want.

Every source is different. Handling that difference is on you.

Building this in-house sounds manageable until you're in it. PDFs, HL7 messages, device schemas, wearable APIs, each with its own edge cases. Your engineers end up on plumbing instead of product. JondaX is the predictable alternative, and the cost is one you can plan around.
$1M+ in engineering hours alone. Year one of many.
White Blood Cell goes by WBC, Leucocytes, and more. It arrives in 58+ units of measure in English alone. Same issue across every health data source, in every language. JondaX harmonises terminology, units, and reference ranges across every source, so what comes out can finally be compared.
99% field-level accuracy with expert review.
Every week without a working health data layer, your engineers are on plumbing instead of product. Features wait, roadmaps slip, and the real cost isn't the build. It's what the build keeps you from doing. JondaX goes live in around two weeks.
~2 weeks typical time to first transformation.Configure format, terminology, coding standards, and units on the JondaX platform.
Connect to the JondaX API, or to our wearables partner.
Send data. JondaX de-identifies, extracts, harmonises, codes, and validates every file.
Get structured, coded, regulation-ready output in the format you configured.
JondaX scores six dimensions per transform: coding, units, language, format, source quality, schema fit. So you can trust what auto-flows and what gets reviewed.
Healthcare is different. Plus most tools still make you do the coding and mapping work yourself. JondaX handles that work for you, and keeps improving. It understands the clinical context, fits your stack, and is priced so teams can actually use it.
Most tools want clean structured data only. JondaX handles that, and the data as it actually arrives. HL7, FHIR, PDFs, scanned reports, device photos.
Learns from real-world healthcare data, with human validation. Continuously maintained and updated. Not a static lookup table. A clinical knowledge base that delivers true semantic interoperability: one concept, one consistent vocabulary, regardless of source.
Clinical coding, terminology mapping, OCR for unstructured documents, compliance-aware processing. Specialist capabilities, without the specialist hires.
Ship health data features in sprints, not quarters. No medical data engineer needed.
ExploreOne integration for every incoming data source, with full audit trail.
ExploreMulti-site harmonisation with full provenance on every transformation.
Explore1600+ biomarkers supported across labs, wearables, and devices from any provider.
ExploreStandardise your output once. Become a plug-and-play integration partner for any client.
ExploreClaims, underwriting, and care management on the same structured data layer.
ExploreHealth data is anonymised, retained only for error resolution, and automatically purged after 30 days. JondaX meets the global standards your security team already asks about.





CTO and Co-founder, Europe-based Longevity Platform

Real questions from teams shipping health products today. If yours isn't here, ask us directly.
JondaX is a near real-time health data transformation engine built by Jonda Health. It ingests health data in any format, PDFs, HL7, FHIR, images, CSVs, from any source, in any language, and returns clean, structured, coded output your systems can use immediately. Built for developers, CTOs, data engineers, and product teams building healthcare products.
JondaX supports five data modules: Pathology Core (structured lab data such as HL7, FHIR, CSV), Pathology Pro (scans, photos, low-quality PDFs processed via OCR with expert review), Medical Devices (glucometers, BP monitors, pulse oximeters, including device photos), Wearables (heart rate, sleep, HRV, activity data via our partner network), and Point-of-Care (rapid tests, coming soon). Input formats include PDFs, images, HL7 v2, FHIR JSON, FHIR XML, JSON, and CSV.
Around two weeks for most teams. JondaX provides a REST API with full documentation and a JondaX platform for configuration. You configure your output format, terminology, and unit preferences once on the JondaX platform, get your API key, connect to the API, and start sending data. Integration speed depends mostly on how clear you are on what you need from the output. Compared to building in-house: $1M+ and 12-18 months.
JondaX de-identifies data on ingestion within your selected residency region (Singapore, EU, or US). Data is retained for 30 days solely for error resolution, then purged. DPA and BAA are executed automatically on signup.
Yes. JondaX supports health data in 10+ languages, including English, Bahasa Indonesia, Spanish, French, and Polish. Languages are auto-detected on ingestion, and structured output is returned in English regardless of input language. No pre-translation step required.
Building a health data harmonisation layer in-house typically takes a year or more, costs $1M+, and requires deep expertise in clinical coding, data interoperability, and ongoing format/source maintenance. JondaX gives you all of that out of the box, integrated in around two weeks. You also get the benefit of our 13M+ data points transformed and 3M+ reference knowledge graph, which keeps growing.
Yes. Every new account gets 30 free transformations across pathology and medical devices. No credit card required. Bring your own data, run your own tests, and upgrade when you're ready.
30 free transformations across pathology and medical devices. No credit card required.
Real-time health data transformation engine. Any format in, clean structured output out.
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