
Leading Innovation. Empowering Engineers. Accelerating Infrastructure Design.
Project Assist AI, first introduced in 2019, is not a generic chatbot. It is a specialized LLM AI platform built specifically for civil engineering workflows, project data, and design standards using years of Civil Site Design content.
It combines decades of Civil Survey Applications design and automation expertise with modern AI technology to help engineers design faster, maintain standards, reduce rework, and deliver better projects. The core technology is being extended with modern AI Agents trained with civil design expertise.
Civil Survey Applications has consistently been ahead of the curve:
- CAD productivity tools
- Intelligent civil design automation
- Connected design workflows
- Project Assist AI
- Future agent-based engineering design assistants
Why Generic AI Isn’t Enough – Most:
- Lack engineering context
- Don’t understand project requirements
- Cannot validate design intent
- Cannot provide design advice
- Produce unverified answers
Introducing TEX – the First AI Agent for Project Assist AI
Get Help, Analyse your DWG, Generate Reports

The Saver Principal
TEX has been developed with the following guidlines:
- S — Suggest – Provide recommendations.
- A — Assess -Analyze project conditions.
- V — Verify -Validate suggestions gainst standards and project requirements.
- E — Execute -Perform approved actions.
- R — Review – Provide documentation and traceability.
These principals ensure that designers are always in control of the design
Project-Aware Intelligence
TEX can inspect and can answers questions and create reports:
- Alignment geometry – do they meet specs?
- Roads – do they comply with local standards?
- Intersections – are curb returns in compliance?
- Report on horizontal alignments.
- Summary report on all structures etc.
Need a report? TEX assists you in creating the report and saving it for future use
Project Assist AI Agent Roadmap
TEX, the first Project Assist AI Agent provided the framework for the development of future Project Assist AI Agents.
Below are the planned agents. Development will be driven by client recommendations. The critical effort, however, will be defining the complex engineering criteria for each, training and then verifying the accuracy of each agent.
