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TARGAN Inc. Tech Stack

Automation and AI systems for poultry, livestock, and aquaculture production

Biotechnology Research Raleigh, North Carolina 51–200 employees Founded 2015 Privately Held
targan.com LinkedIn

TARGAN develops industrial automation hardware and software for animal agriculture, deploying PLC/SCADA stacks (Beckhoff TwinCAT, Codesys, Ignition) paired with Python backends on Azure. The engineering-heavy hiring focus (13 roles across 20 open positions) and active projects around engineered-to-order vaccination systems and lean manufacturing suggest the company is scaling production delivery and moving from project-driven customization toward standardized, repeatable automation. Pain-point clustering around supply continuity and unplanned downtime indicates operational friction typical of hardware-software integration firms.

Tech Stack 30 technologies

Core StackSolidWorks JavaScript Python Grafana Solidworks Wrike C# MongoDB PostgreSQL SQL Server Kubernetes Java Azure DevOps Jira Beckhoff TwinCAT Codesys Structured Text Schneider Electric TwinCAT HMI Ignition EtherCAT Modbus TCP IO-Link AutoCAD Electrical HTML5 HTTP MQTT Azure PowerShell Structured text

What TARGAN Inc. Is Building

◆Challenges

  • Reducing unplanned downtime
  • Reducing reactive service events
  • Ensuring consistent service delivery
  • Supply continuity
  • Improving manufacturing quality processes
  • Reducing supplier quality issues
  • Data monetization strategy
  • Data governance compliance
  • System integration optimization
  • Scaling service infrastructure

▲Active Projects

  • Develop sops to standardize procurement processes
  • Targan end-user training program
  • Targan system evaluation and performance program
  • Support new product introductions by ensuring sourcing readiness
  • Engineered-to-order automated vaccination systems
  • Drive continuous improvement initiatives across procurement operations
  • System level automation customizations
  • Lean manufacturing improvement initiative
  • Machine and process validation testing
  • Supplier quality performance metrics development

Hiring Activity

Accelerating20 roles · 20 in 30d

Department

Engineering
13
Ops
3
Support
2
Manufacturing
1
Research
1

Seniority

Mid
9
Senior
7
Director
2
Junior
1
Manager
1
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About TARGAN Inc.

TARGAN is an agricultural technology company based in Raleigh, North Carolina, that builds automation and control systems for poultry, livestock, and aquaculture producers. Founded in 2015, the company employs 51–200 people and uses industrial IoT and AI technologies to improve herd health, productivity, and welfare. The product portfolio spans hatchery automation, vaccinations systems, and manufacturing quality monitoring. Revenue comes from both platform licensing and engineered-to-order customizations; current initiatives focus on standardizing procurement, validating machine performance, and reducing unplanned service events.

HeadquartersRaleigh, North Carolina
Company Size51–200 employees
Founded2015
Hiring MarketsUnited States

Frequently Asked Questions

What technology does TARGAN use for automation systems?

TARGAN's stack centers on Beckhoff TwinCAT and Codesys for PLC control, Ignition for SCADA visualization, and EtherCAT/Modbus TCP for industrial communication. Python, C#, and SQL backends run on Azure with Kubernetes orchestration and PostgreSQL/MongoDB databases.

What is TARGAN working on?

Current projects include engineered-to-order automated vaccination systems, lean manufacturing improvements, supplier quality metrics, system integration optimization, and standardized procurement processes. Operational focus is on reducing unplanned downtime and scaling service delivery.

How this profile is built

TARGAN Inc.'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.