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Fathom Tech Stack

AI medical coding automation for health systems

Hospitals and Health Care San Francisco, California 51–200 employees Founded 2017 Privately Held

Fathom automates medical coding using deep learning and NLP applied to clinical data. The stack reveals a data-heavy, cloud-native architecture (BigQuery, Redshift, Snowflake, GCP, Kubernetes) built for scale—a fit for processing thousands of patient encounters. Current project focus on Kubernetes operators and prompt engineering suggests the team is moving beyond static models toward dynamic AI feature tuning, while pain points around scaling backend systems and cost efficiency indicate they're hitting infrastructure limits typical of high-volume clinical AI workloads.

Tech Stack 25 technologies

AdoptingKubernetes

What Fathom Is Building

Challenges

  • Overhead of meetings
  • Scaling engineering team
  • Lack of engaged community
  • Time-consuming note-taking
  • Improving reliability of mission-critical services
  • Scaling services for spiky workloads
  • Reducing operational costs
  • Scaling backend systems
  • Scaling distributed systems
  • Cost-efficiency

Active Projects

  • Cloud storage caching layer
  • Social media strategy
  • Content calendar management
  • Upgrade existing features with prompt engineering
  • Prototype new ai features
  • Fine-tune models for specific needs
  • K8s operator development
  • Backend services architecture evolution
  • Building a k8s operator
  • Build product marketing function

Hiring Activity

Decelerating10 roles · 2 in 30d

Department

Engineering
4
Marketing
3
Data
1
HR
1
Sales
1

Seniority

Mid
4
Senior
4
Junior
1
Manager
1
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About Fathom

Fathom applies deep learning and natural language processing to automate medical coding—the labor-intensive task of translating clinical notes into billing and regulatory codes. The company sells to health systems and revenue cycle teams managing high-volume coding backlogs. Founded in 2017 and based in San Francisco, Fathom operates as a 51–200 person organization with an engineering-heavy workforce building cloud infrastructure and ML models. The technical footprint spans GCP, Kubernetes, Python, and multiple data warehouses, reflecting the computational demands of clinical NLP at scale.

HeadquartersSan Francisco, California
Company Size51–200 employees
Founded2017
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Fathom use?

Python, R, SQL, BigQuery, Redshift, Snowflake, Kubernetes, GCP, Docker, TensorFlow, Go, and supporting tools like GitHub Actions, ArgoCD, and Prometheus.

What is Fathom working on?

Cloud infrastructure (Kubernetes operators, backend architecture), prompt engineering for existing models, fine-tuning models for specialty-specific coding, and product marketing function development.

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