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DeepIntent Tech Stack

Healthcare DSP uniting media, identity, and clinical data for pharma marketing

Advertising Services New York, New York 201–500 employees Founded 2016 Privately Held

DeepIntent operates a demand-side platform tailored to healthcare marketing, combining media buying with identity resolution and clinical data. The stack reveals an engineering organization in transition: heavy use of batch processing (Spark, Airflow, BigQuery, Druid) alongside emerging real-time infrastructure (Kafka adoption), and aggressive AI/automation investment (OpenAI, agentic frameworks). Hiring acceleration in data (5 open roles) and engineering (4) paired with pain points around test coverage, delivery throughput, and administrative automation suggests they're scaling both data science and internal operations in parallel.

Tech Stack 48 technologies

What DeepIntent Is Building

Challenges

  • Improving test coverage metrics
  • Improving team throughput
  • Reducing delivery blockers
  • Automating repetitive operational steps
  • Inefficiencies in administrative workflows
  • High-value automation opportunities
  • Scaling data science across global markets
  • Ensuring privacy compliance
  • Real-time bidding performance
  • Optimizing data pipelines for performance

Active Projects

  • Joint business partnership initiatives
  • Integrate deepintent solutions into pharma tech stacks
  • Expand audience connectivity & activation
  • Operationalising delivery methodology
  • Ai-enabled workflow automation
  • Developing agentic framework
  • Deepintent outcomes setup
  • Measurement strategy and design
  • Ai agent automation of administrative workflows
  • Real-time bidding model deployment

Hiring Activity

Accelerating15 roles · 10 in 30d

Department

Data
5
Engineering
4
Support
2
Ops
1
Sales
1

Seniority

Director
3
Junior
3
Mid
3
Senior
2
Manager
1
Staff
1
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About DeepIntent

DeepIntent is a healthcare demand-side platform serving pharmaceutical brands and their agencies. The platform connects media buying, identity data, and clinical information to support omnichannel campaign planning and optimization. Founded in 2016 and based in New York, the company operates with 201–500 employees across engineering, data science, and commercial teams. Active projects include real-time bidding deployment, outcomes measurement, audience activation expansion, and AI-driven workflow automation. The organization is hiring across data and engineering functions in the United States and India, with current velocity accelerating.

HeadquartersNew York, New York
Company Size201–500 employees
Founded2016
Hiring MarketsIndia, United States

Frequently Asked Questions

What tech stack does DeepIntent use?

Core stack: Python, Java (Spring Boot), MySQL, GCP/AWS, Kafka, Spark, Airflow, BigQuery, Druid, Beam. Analytics: Looker, Tableau, Data Studio, Power BI. Testing: Selenium, Playwright, Robot Framework. Adopting: Hadoop, Kafka, Airflow for real-time and distributed processing.

What is DeepIntent working on?

Real-time bidding model deployment, AI agent automation of administrative workflows, agentic framework development, audience connectivity expansion, measurement strategy design, and integration of DeepIntent solutions into pharma technology stacks.

How this profile is built

DeepIntent's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.