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AKASA

What tech stack does AKASA use?

AKASA’s detected stack comes from public job posts and careers signals; it is directional and emphasizes Python, healthcare data, cloud infrastructure, and ML workflows.

Frontend
React signal
Backend
Python, FastAPI
Cloud
AWS
Data
Postgres, SQLAlchemy, ETL
Critical path
FHIR, HL7, EDI, ML evals
GTM/support
Enterprise health-system CRM not public

AKASA's detected tech stack

Public job posts reference Python, FastAPI, SQLAlchemy, Postgres, Docker, Kubernetes, AWS, GitHub Actions, React, and healthcare data standards.

  • Python· Backend
  • FastAPI· Backend
  • SQLAlchemy· Backend
  • Postgres· Data
  • AWS· Cloud
  • Docker· Infrastructure
  • Kubernetes· Infrastructure
  • GitHub Actions· CI/CD
  • React· Frontend
  • FHIR / HL7 / EDI· Healthcare data
  • PyTorch / Keras signal· ML

Sources:AKASA job signal - Welcome to the JungleAKASA LinkedIn job signalAKASA careers

What does AKASA use on the backend and infrastructure?

AKASA’s backend and infrastructure signals are consistent with cloud-native healthcare AI: Python services, FastAPI, SQLAlchemy, Postgres, AWS, Docker, Kubernetes, and GitHub Actions. Healthcare interoperability skills such as FHIR, HL7, and EDI are directly relevant because revenue-cycle AI must operate against provider data and payer workflows.

What does AKASA use on the frontend, data, or GTM tooling?

React appears in public job signals, while data and ML roles reference ETL pipelines, model evaluation, prompt engineering, and ML frameworks such as PyTorch or Keras as pluses. GTM tooling is not public, but enterprise healthcare sales imply CRM, security questionnaires, and customer-success systems.

What AKASA's stack means if you sell to them

Vendors should lead with HIPAA readiness, healthcare interoperability, model evaluation, auditability, and implementation support. The best integration pitch is not generic AI tooling; it is reducing deployment risk inside health-system revenue-cycle environments.

As of June 2026.Sources:AKASA job signal - Welcome to the JungleAKASA LinkedIn job signalAKASA careers

AKASA — frequently asked questions

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