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USDM Life Sciences Tech Stack

AI-powered operations platform for regulated life sciences manufacturing

IT Services and IT Consulting Santa Barbara, CA 201–500 employees Founded 1999 Privately Held
usdm.com LinkedIn

USDM Life Sciences builds operational intelligence for biotech, pharma, and medical device manufacturers operating under GMP and FDA oversight. The tech stack — Vertex AI, Dataflow, Airflow, BigQuery, LabWare LIMS, Siemens Opcenter, OSI PI — reveals a company focused on data pipelines and MES validation in highly regulated environments. Active projects center on legacy system upgrades (Werum PAS-X 3.1→3.4), agentic AI orchestration, and FHIR server integration, while pain points cluster around cGMP compliance, equipment integration, and real-time manufacturing visibility — suggesting the company is positioning itself as a bridge between legacy pharma operations and modern cloud-native AI.

Tech Stack 42 technologies

Core StackVertex AI Apache Airflow BigQuery VMware Active Directory ServiceNow JavaScript Oracle DocuSign Salesforce Cloud Dataflow Apache Beam Google Cloud Functions GCP LabWare LIMS Siemens Opcenter OSI PI DeltaV Cisco UCS Citrix Veeam Commvault SOAP Google Cloud's Vertex AI Google AI Box Veeva Visio Microsoft Project ServiceMax+10 more
AdoptingOracle DocuSign Box Windows 10
ReplacingWindows 7

What USDM Life Sciences Is Building

◆Challenges

  • Compliance with cgmp
  • Upgrading legacy pas-x system
  • Regulatory compliance for pharma data
  • Accelerating system upgrade
  • Quality and reliability in regulated environments
  • Labware 8 upgrade
  • Integration with laboratory equipment
  • Validating mes in regulated environment
  • Analyzing complex manufacturing processes
  • Real-time insights for biotech

▲Active Projects

  • Pas-x upgrade program
  • Werum pas-x 3.1 → 3.4 upgrade
  • Agentic orchestration layers on vertex ai
  • Fhir server api integration for pharma and healthcare clients
  • Raw material and commercial product workflows
  • Master data configuration
  • Instrument integration
  • Validation strategy development for mes applications
  • Development of validation documentation for gmp-compliant systems
  • Gcp pipeline infrastructure with dataflow, beam, airflow, cloud functions, and bigquery

Hiring Activity

Accelerating15 roles · 9 in 30d

Department

Engineering
11
Data
1
Healthcare
1
Ops
1
Support
1

Seniority

Mid
7
Senior
6
Director
1
Lead
1

Notable leadership hires: Publication Lead

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About USDM Life Sciences

USDM Life Sciences helps pharma, biotech, and medical device companies modernize their manufacturing operations while maintaining regulatory compliance. Founded in 1999 and headquartered in Santa Barbara, the company operates at the intersection of quality systems, data integrity, and digital transformation — areas critical to cGMP-regulated environments. Their platform integrates AI and automation with existing lab information systems (LabWare), manufacturing execution systems (Siemens Opcenter, OSI PI), and cloud infrastructure (Google Cloud), enabling customers to accelerate innovation without sacrificing compliance. The organization is engineering-focused and actively hiring, with roles concentrated in mid to senior-level positions across development and architecture.

HeadquartersSanta Barbara, CA
Company Size201–500 employees
Founded1999
Hiring MarketsUnited States, Peru

Frequently Asked Questions

What is USDM Life Sciences' tech stack?

Core stack includes Google Cloud (Vertex AI, Dataflow, BigQuery, Cloud Functions), Apache Beam/Airflow for orchestration, LabWare LIMS, Siemens Opcenter, OSI PI for manufacturing data, plus ServiceNow, Salesforce, DocuSign, and Veeva for business processes and document management.

What is USDM Life Sciences working on?

Current projects include Werum PAS-X system upgrades, agentic AI orchestration on Vertex AI, FHIR server API integration for pharma clients, GCP pipeline infrastructure, MES validation, and real-time manufacturing analytics for biotech operations.

How this profile is built

USDM Life Sciences'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.