Real-time health data transformation engine. Any format in, clean structured output out.
From 3-person startups to Fortune 500 insurers.
Field notes, product updates, and customer stories from the health data frontier.
Resources
Technical deep-dives, market analysis, and product updates from the Jonda Health team.
An LLM prototype reads a lab report in an afternoon. Production needs nine things. So, should you build or buy?
A single lab result is a snapshot. String them together over time and you have a trajectory that changes clinical decisions.
ETL in healthcare is not a generic pipeline problem. Clinical data has constraints that general-purpose tools cannot enforce.
Manual data integration does not scale. JondaX automates the transformation layer so engineering teams can focus on features.
Health data integration is hard because the problem is multidimensional: formats, languages, units, and coding systems all vary.
Health tech platforms generate enormous amounts of data. Making that data useful requires more than storage, it requires transformation.
Open-source integration lets any MCP-compatible AI assistant upload, process, and retrieve pathology and medical device data through plain-language prompts, with one simple setup.
RISA chief executive Antoine Sebera met Jonda Health founder Dr Suhina Singh to discuss advancing Rwanda's digital health ecosystem.
Jonda Health on why APAC's rush into healthcare AI keeps stalling on unready data, and how the harmonisation work behind it can turn a health system's records into a valuable, protected asset.
Why Jonda Health was started, and what health data interoperability really means in real-world workflows, beyond just exchange.
CNA938 interview with Dr. Suhina Singh on founding Jonda Health.
New product walk-throughs, founder talks, and event highlights from the Jonda Health team.
30 free transformations. No credit card required.
