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OWKIN Tech Stack

AI platform for biology reasoning trained on patient-level multimodal data

Technology, Information and Internet New York, NY 201–500 employees Founded 2016 Privately Held
owkin.com LinkedIn

Owkin builds a closed-loop AI system trained natively on patient-level clinical and omics data, reinforced through live biological feedback—designed to advance drug discovery, diagnostics, and longevity research. The hiring profile is heavily engineering-focused (27 of 31 recent roles), with a majority at senior level, indicating active buildout of production infrastructure and platform hardening rather than sales expansion. Active projects span real-time LLM integration, regulated-environment deployment, and agentic data transformation—revealing a shift from model development toward operationalizing AI in pharma workflows.

Tech Stack 22 technologies

Core StackPython Kubernetes AWS Apache Airflow Docker Trino Snowflake Databricks Salesforce Go Grafana Google Ads GCP Azure DuckDB AWS Athena Notion Google Slides Payfit HiBoB RT-qPCR Spatial transcriptomics

What OWKIN Is Building

◆Challenges

  • Integrating solutions into regulated organizations
  • Deploying ai in scientific workflows
  • Customizing ai platform for pharma
  • Ml-ready multimodal datasets
  • Complex data transformation workflows
  • Complex biomedical research use cases
  • Privacy, security and compliance
  • Bottlenecks in cross-team workflows
  • Scaling petabytes of multimodal patient data
  • Ensuring privacy and compliance of data

▲Active Projects

  • Real-time llm integration system
  • Deploying production-grade ai systems on owkin k
  • Tailored solutions on top of owkin k
  • Integrating solutions into regulated organizations
  • Customizing and extending owkin k for pharma clients
  • Interface layers between products and infrastructure
  • K-pro platform
  • Data transformation agent (dta)
  • Data workflow optimization for agentic ai
  • Core stack component development

Hiring Activity

Accelerating30 roles · 30 in 30d

Department

Engineering
27
Sales
2
HR
1
Research
1

Seniority

Senior
19
Junior
4
Mid
4
Director
2
Intern
2

Notable leadership hires: Platform Services Lead

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About OWKIN

Owkin is an AI biology company based in New York that develops reasoning models trained on multimodal patient datasets from hospital partnerships. The platform integrates omics technology, biomedical imaging, and clinical data to enable autonomous discovery workflows in oncology and drug development. The company operates across three core layers: a reasoning model trained on longitudinal patient data, agentic workflows for data transformation and scientific reasoning, and regulated infrastructure (Owkin K platform) for pharma deployment. Technical stack spans Python, Kubernetes, AWS/GCP/Azure, Apache Airflow, and data warehousing (Snowflake, Databricks, Trino), with emerging focus on LLM integration and federated learning to handle privacy constraints in clinical environments.

HeadquartersNew York, NY
Company Size201–500 employees
Founded2016
Hiring MarketsGermany, United States, France

Frequently Asked Questions

What is Owkin's tech stack?

Python, Kubernetes, AWS, GCP, Azure, Apache Airflow, DuckDB, Snowflake, Databricks, Trino, Docker, Grafana. The stack reflects multi-cloud data orchestration and real-time LLM integration priorities.

What is Owkin working on?

Core projects include real-time LLM integration, deploying production AI systems on Owkin K (regulated platform), data transformation agents for agentic workflows, and customizing the platform for pharma clients in regulated environments.

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How this profile is built

OWKIN'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.