Dozee Tech Stack

AI-powered contactless patient monitoring and early warning system

Hospitals and Health Care Bengaluru, Karnataka 51–200 employees Founded 2015 Privately Held

Dozee deploys contactless monitoring technology across hospital networks in India, the US, UAE, and Africa. The stack reflects a scaled healthcare data operation: Kafka, Spark, and Airflow for streaming patient signals; TensorFlow Extended and MLflow for clinical ML pipelines; FHIR/HL7 compliance for health data exchange; and cloud-native infrastructure across AWS, GCP, and Azure. Hiring is ops and sales-heavy while engineering is sparse, and active projects cluster around hospital partnerships, telemedicine integration, and revenue-cycle optimization—suggesting the business has moved past core product validation into distribution and unit economics.

Tech Stack 35 technologies

Core StackApache Spark Apache Airflow Kafka Python Scala Java AWS Snowflake BigQuery Redshift Docker Kubernetes MLflow Great Expectations CRM Excel Microsoft Office GCP Azure Parquet Avro JSON Git CI/CD FHIR HL7 TensorFlow Extended OpenLineage ISO 13485 PowerPoint+5 more

What Dozee Is Building

◆Challenges

Enhancing staff efficiency
Improving patient outcomes
Revenue leakage
Claims denial management
Ar aging
Managing supply chain disruptions
Driving cost efficiency
Ensuring compliance with quality standards
Ip filing management
Contract negotiation delays

▲Active Projects

Partner-driven marketing campaigns
Tele-visit scheduling and tracking
Kol engagement strategy
Co-creating marketing materials
Crm and sales mis implementation
Sales promotions and trade promotions
Enterprise ward monitoring sales strategy
Sales enablement workshops
Erp adoption across procurement functions
Dashboard development for budget vs actuals and inventory tracking

Hiring Activity

Decelerating20 roles · 3 in 30d

Department

Ops

Sales

Healthcare

Legal

Data

Engineering

Executive

Seniority

Manager

Junior

Lead

Mid

Senior

Intern

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About Dozee

Dozee is a medical-device company building AI systems for remote patient monitoring in hospital settings. The technology uses contactless sensors to continuously observe patients and generate clinical alerts. The platform operates across 300+ healthcare facilities globally, has monitored 1 million+ patients, and delivered 35,000+ alerts. The company targets large hospital networks and health systems that operate multiple wards and ICUs. Hiring activity and project focus indicate an organization scaling sales and operations infrastructure, with emerging work on ERP, CRM, and supply-chain efficiency alongside clinical outcomes.

HeadquartersBengaluru, Karnataka

Company Size51–200 employees

Founded2015

Hiring MarketsIndia, United States

Frequently Asked Questions

What is Dozee's technology stack built on?

Dozee uses Kafka, Apache Spark, and Airflow for data ingestion and orchestration; TensorFlow Extended and MLflow for ML model management; Snowflake, BigQuery, and Redshift for analytics; and AWS, GCP, and Azure for cloud infrastructure. FHIR and HL7 standards ensure hospital data interoperability.

How many patients has Dozee monitored?

Dozee has monitored over 1 million patients across 300+ healthcare facilities, delivered 35,000+ clinical alerts, and saved an estimated 10 million+ nursing hours.