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Regard Tech Stack
AI documentation assistant for healthcare providers using EHR data
Regard builds an AI-powered documentation tool integrated directly into Epic and Cerner EHRs, suggesting diagnoses and drafting clinical notes. The stack—Python, FastAPI, PostgreSQL, Kubernetes on AWS—is purpose-built for real-time clinical inference, and the recent FHIR adoption signals standardization of clinical data flows across hospital systems. Engineering-heavy hiring (21 roles) paired with dedicated healthcare operations (5 roles) and customer success reflects the operational complexity of healthcare deployments and the manual work still required to scale provider adoption.
Tech Stack 68 technologies
Core StackPython FastAPI Flask PostgreSQL Redis Celery Docker Kubernetes AWS GitLab CI/CD ArgoCD Datadog OpenTelemetry Pulumi Terraform Epic Systems Gusto Lever Lattice JavaScript Salesforce AWS EKS AWS SQS AWS SNS Flux Cerner Excel Carta Google Workspace SQL+38 more
AdoptingFHIR
What Regard Is Building
◆Challenges
- Scaling infrastructure for healthcare ai platform
- Reducing manual toil
- Improving hospital finances
- Improving quality of care
- Inefficiencies in education process
- Inefficiencies in provider success operations
- Identifying gaps in integration processes
- Adoption of proactive documentation platform
- Process gaps
- Deployment tooling improvement
▲Active Projects
- Fhir integration and clinical data mapping
- User acceptance testing
- Technical integration of new and existing clients
- Automate ci/cd pipelines
- Roll-out/expansion phase
- Go-live and post-launch activities
- Clinical readiness assessment
- New diagnostic modules
- Llm platform advancement
- Live and virtual demos
Hiring Activity
Steady55 roles · 20 in 30d
Department
Seniority
Notable leadership hires: Medical Director
Company intelligence
