Clean data your clinicians trust.Clients who renew because of it.

JondaX is not a data store. Incoming data is de-identified on ingestion within your selected residency region (Singapore, EU, or US), retained for 30 days for error resolution, then purged. DPA and BAA are executed automatically on signup. This means your hospital and clinic clients pass their own data-residency audits without your architecture becoming the blocker.

Every transformation is logged: input format, output format, module used, processing functions applied, confidence score, timestamp, and a unique transformation ID. The trail is queryable and reproducible. Same input, same output, always. When a clinician at one of your hospital clients flags a result, your engineers can trace it back to source in minutes, not days.

JondaX is a REST API that sits between your data sources and your EHR as a middleware layer. Most teams are in production within around two weeks. JondaX outputs FHIR XML, FHIR JSON, HL7 v2, JSON, or CSV, whatever format your EHR expects. No changes to your existing system architecture required. This means your engineering team can ship features on the roadmap instead of building ingestion plumbing.

DPA and BAA are built into the platform and executed automatically when you sign up. There is no separate legal process. Both documents are available for your legal and security teams to review in full before or after signup. This means your legal cycle doesn't add weeks to every new deployment you do for a hospital or clinic client.

Because JondaX processes and returns without long-term storage, an outage does not create a data risk. Your source data remains with you. Transformation requests queue and retry on restoration. SLA commitments are available for enterprise plans. This means an incident with JondaX doesn't turn into an incident between you and your hospital and clinic clients.

Start with a free trial: 30 free transformations across pathology and medical devices, no credit card required. Run your own data through the pipeline and evaluate the output quality. When ready, move to a paid tier. Enterprise plans with custom SLA, on-premise deployment for your hospital and clinic clients' requirements, and dedicated support are available. This means your engineering team can evaluate JondaX independently before procurement formally engages. What's normally a six-month cycle becomes weeks.

JondaX is designed for clinical-grade data quality. Every data point is normalised and coded according to your configured specifications. For pathology data specifically, low-confidence data goes through a two-step independent review by our in-house team before it is returned. That's how we reach 99% field-level accuracy. This means clinicians at your hospital and clinic clients see data they can trust, not data they have to second-guess.

Building a health data harmonisation layer in-house typically costs $1M+ and takes 12-18 months, with ongoing maintenance for every new source. Aggregator APIs like Redox focus on connecting to known US providers; JondaX handles any source in any format, including scanned PDFs, device photos, and regional lab feeds. JondaX integrates in around two weeks with full configurability for your EHR's format, terminology, and units. This means you don't trade off coverage for time-to-market or roadmap velocity.