Twin builder assistant

Tela™ agentic-AI assistant in OptiSite™ facility, equipment, and pipeline solutions

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Build accurate plant simulation models in minutes.

 

Overview

Tela in OptiSite solutions helps engineers rapidly create, validate, and calibrate plant simulation models using natural language interaction. By combining AI-powered guidance with Symmetry™ software and the Pipesim™ simulator, Twin Builder Assistant simplifies complex modeling workflows, accelerates time to value, and makes simulation expertise more accessible across teams.

 

Challenges

  • Building accurate plant simulation models can take weeks or months.
  • Model creation and calibration often require extensive domain expertise.
  • Manual workflows and handovers can slow model development and validation.
  • Modifying existing models or testing new ideas can be complex and time-consuming.
  • Simulation expertise is not always readily available across engineering teams.

Solution

  • Enable engineers to create simulation models using natural language prompts.
  • Leverage Symmetry software and Pipesim simulator to build, validate, and calibrate models.
  • Guide users through model construction using knowledge-driven workflows.
  • Automate validation and calibration against plant data and operational targets.
  • Simplify simulation modeling and reduce onboarding time for new users.

Tela catalog

Tela catalog

Tela catalog

Tela catalog

Features

  • Knowledge-Driven Reasoning – Leverage proprietary knowledge bases and workflows to guide model construction and configuration.
  • Integrated Simulation Tools – Combine Symmetry software and Pipesim simulator for comprehensive process and flow simulation, with chat-based model creation and modification.
  • Dynamic Validation – Run simulations, evaluate KPIs, and validate models against operational targets in real time.

Benefits

  • Rapid Model Creation – Build and validate simulation models from scratch using conversational prompts.
  • Automated Calibration – Calibrate models using plant data from chat interactions or external sources.
  • Expert-Level Insights – Analyze existing models and gain deeper understanding of system behavior and performance.
  • Lower Barriers to Adoption – Simplify complex workflows and reduce the expertise required for simulation modeling.
  • Accelerate Innovation – Test new ideas, optimize operations, and iterate on models faster.