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Terabase Energy Tech Stack

Software and automation platform for utility-scale solar plant development and operations

Renewable Energy Semiconductor Manufacturing Berkeley, CA 51–200 employees Founded 2019 Privately Held

Terabase Energy builds digital and automation tools for the full lifecycle of large solar installations—from design through construction to operations. The tech stack reveals deep industrial automation expertise: Siemens PLCs, Rockwell Automation, Allen-Bradley, SCADA, and real-time control systems (TwinCAT, EtherCAT), paired with mechanical design tools (AutoCAD, SolidWorks, ANSYS). Their active hiring leans engineering-heavy (13 of 23 roles) at senior and lead levels, with concurrent work on battery storage controls, AI-driven predictive maintenance, and field validation of electromechanical systems—indicating movement toward a software-first, hands-off operations model.

Tech Stack 54 technologies

Core StackAutoCAD Cisco Allen-Bradley Siemens Python SolidWorks NetSuite Bitbucket MATLAB Simulink Codesys PuTTY Wireshark Ignition TwinCAT TwinSAFE Structured Text MES EtherCAT TCP Ethernet/IP FMEA ANSYS ABAQUS SolidWorks Simulation Rockwell Automation Rockwell FactoryTalk Siemens PLC Opal-RT Ramp+22 more
AdoptingRAG

What Terabase Energy Is Building

Challenges

  • Cost reduction in large scale solar
  • Automation of solar construction
  • Field validation of complex electromechanical equipment
  • Lack of proactive maintenance
  • Inefficient vendor management
  • Improving deployment efficiency
  • Reducing build time
  • System deficiencies
  • Reducing material costs
  • Removing 70-80% of solar power plant assembly works from the field

Active Projects

  • Mechanical system design for utility-scale solar installation
  • Bess controls design
  • Interconnected software and construction automation platform
  • Field validation of complex electromechanical equipment
  • Prototype and test fixture development
  • Vendor management program
  • Physical security program
  • Preventive maintenance program
  • Prototype builds for solar plant components
  • Ai-driven predictive modeling integration

Hiring Activity

Accelerating25 roles · 25 in 30d

Department

Engineering
13
Ops
2
Product
2
Security
2
Design
1
HR
1
Logistics
1
Marketing
1

Seniority

Senior
13
Mid
6
Lead
2
Manager
2
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About Terabase Energy

Terabase Energy is a solar technology company founded in 2019, headquartered in Berkeley, CA, with 51–200 employees. The company develops an interconnected software and automation platform designed to reduce costs and accelerate deployment of utility-scale photovoltaic power plants. Their product spans plant design software, construction automation, real-time monitoring (SCADA), and operations management, with recent expansion into battery energy storage system (BESS) controls and AI-driven predictive maintenance. They serve utilities and large-scale solar developers globally, with hiring activity in the United States and France.

HeadquartersBerkeley, CA
Company Size51–200 employees
Founded2019
Hiring MarketsUnited States, France

Frequently Asked Questions

What is Terabase Energy's tech stack?

Terabase uses industrial control systems (Siemens PLCs, Rockwell Automation, Allen-Bradley), real-time automation (TwinCAT, EtherCAT, SCADA), mechanical design (AutoCAD, SolidWorks, ANSYS), MATLAB simulation, and Python. Recently adopting RAG for AI integration.

What is Terabase Energy working on?

Mechanical system design for solar installations, BESS (battery storage) controls, construction automation platforms, AI-driven predictive maintenance, prototype development, field validation, and vendor and preventive maintenance programs.

How this profile is built

Terabase Energy'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.