Synodex extracts and structures data from paper and scanned medical documents using a modern stack of React, Node.js, Kafka, Elasticsearch, and Google Cloud tools, paired with human annotation workflows. The hiring mix—heavily weighted toward data (19 roles) and engineering (16)—reflects active scaling around AI implementation and LLM evaluation, while simultaneous pain points in model reliability testing and data annotation challenges suggest the company is threading a difficult needle between automation and quality control in healthcare data.
Notable leadership hires: Sales Director
Synodex digitizes and extracts actionable data from medical records for healthcare organizations, payers, and life sciences companies. The company operates as a hybrid platform: automated document processing (OCR, entity extraction, classification) combined with managed annotation services. Parent company Innodata provides access to 6,000+ production staff across 10 global locations, enabling both software delivery and labor-intensive data labeling at scale. The platform integrates extracted data into customer systems or generates structured reports. Synodex sells into mid-market and enterprise healthcare buyers, with current focus on new logo acquisition and ABM workflows.
Frontend: React, TypeScript. Backend: Node.js, Python, Kafka. Data: Elasticsearch, MySQL, Google Cloud Spanner, Apache Spark, Apache Beam. ML infrastructure: Amazon SageMaker Ground Truth, Labelbox, CVAT, Prodigy. Orchestration: Jenkins, GitHub Actions, Apache Airflow, Google Cloud Composer.
Ridgefield Park, New Jersey. Active hiring in United States, Canada, and Peru.
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