AI-native healthcare data platform for EHR, dental, and veterinary systems
HeyDonto ingests fragmented healthcare data (FHIR, HL7, X12, clinical notes, documents) and applies AI to produce interoperable, standards-aligned datasets. The stack—Kafka, Temporal, Kubernetes, NestJS microservices, PostgreSQL—reveals a production-grade event-streaming and orchestration architecture built to handle continuous schema evolution and bi-directional sync across legacy EHR systems. Active projects around self-healing architectures and semantic intelligence signal a shift from static data mapping toward learned, adaptive transformation.
HeyDonto is a healthcare data intelligence platform serving hospitals, health systems, dental organizations, and veterinary technology companies. The product addresses data fragmentation by ingesting both structured and unstructured healthcare formats and outputting clean, AI-ready data across clinical, operational, and research domains. Founded in 2024 and based in Knoxville, Tennessee, the team is early-stage (11–50 employees) with engineering and product-focused hiring. Core pain points center on legacy EHR synchronization, on-premises-to-cloud data movement, and compliance (HIPAA, SOC2, GDPR) alongside the operational challenge of rapidly onboarding new data sources while maintaining data correctness.
Kubernetes, Kafka, Temporal, GCP (Cloud SQL), NestJS, PostgreSQL, React, Terraform, Helm, Prometheus, and OpenTelemetry. The stack emphasizes event orchestration, infrastructure automation, and observability for production healthcare data workflows.
Core projects include multi-environment infrastructure automation, Kafka + Temporal event orchestration, NestJS microservices architecture, a React dashboard, self-healing architecture patterns, and a connector platform and SDK for rapid data-source onboarding.
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