Engineering
Automation Digital tools for controlled delivery
Automation accelerates repetitive work.
Engineering judgment stays in control.
TEBIN develops automation tools and artificial intelligence-assisted workflows that help project teams work faster, reduce errors, and keep BIM, calculations, documentation, and reporting consistent across complex building projects. We automate the process — but engineering expertise keeps the output technically correct.
Manual engineering
workflows do not scale
Large projects create thousands of repetitive actions: model checks, parameter reviews, schedule updates, drawing registers, quantity exports, issue reports, and document comparisons. When done manually, the result is slow delivery, inconsistent data, and too much time on work that should be automated.
- Repetitive BIM tasks become consistent and traceable
- Model and parameter checks can be run regularly, not only before deadlines
- Quantity and schedule data can be extracted in structured formats
- Reports can be generated from live project data
- Artificial intelligence (AI) can support document review, comparison, classification, and summarisation
- Engineers remain responsible for technical logic and final validation
Automation for real
engineering workflows
Revit Automation
Dynamo scripts, Revit API tools, model processing, element placement, annotation support, view and sheet workflows, schedule generation, and repetitive modelling operations.
BIM Quality Checks
Automated checks for naming conventions, parameter completeness, classification, model structure, information requirements, discipline rules, and ISO 19650 data consistency.
Quantity Extraction & BOQ
Structured quantity takeoff from BIM models for cost planning, tender support, procurement packages, and design-stage comparison.
Calculation Workflows
Scripted workflows for lighting checks, cable sizing, load schedules, HVAC loads, equipment selection tables, and calculation data preparation.
Drawing Registers & Transmittals
Automated drawing register updates, revision control, issue sheets, transmittal preparation, and synchronisation with CDE-based document workflows.
Project Reporting Dashboards
Automated progress reports, model completeness dashboards, issue trend summaries, discipline status reports, and delivery control views.
Platform & Data Integrations
Structured data exchange between BIM tools, CDE platforms, project management systems, spreadsheets, and reporting tools.
Artificial intelligence-assisted engineering workflows
Artificial intelligence-assisted document analysis, compliance checks, specification review, tender comparison, meeting note structuring, and technical data extraction — always reviewed by engineers.
Built by engineers,
not only by developers.
Engineering automation fails when it is developed without understanding the project context. A script can be fast and still produce the wrong result if the logic does not match engineering reality. TEBIN combines software development, BIM expertise, and multidisciplinary engineering knowledge.
“Automation is useful only when the logic is technically correct.”
- We understand BIM models as engineering data, not only geometry
- We know how deliverables are produced, checked, revised, and issued
- We can connect automation with ISO 19650, CDE workflows, and model quality control
- We understand mechanical, electrical, plumbing, civil, structural, architectural, fire safety, ICT, BMS, and coordination requirements
- We build tools around real project constraints, not generic software assumptions
- We validate outputs with engineering judgment before recommending use
Four steps to practical automation
Identify the task
We identify the repetitive or error-prone process: who performs it, how often it runs, what input data is used, and where mistakes typically appear.
Define the engineering logic
We define the rules behind the automation: model standards, naming conventions, required parameters, calculation assumptions, output formats, and acceptance criteria.
Develop and test
We build the tool using real project data and test it against edge cases, discipline requirements, and expected project outputs.
Deploy and improve
We integrate the tool into the project workflow, prepare usage guidance, and update it when standards, models, or project requirements evolve.
AI-assisted workflows
with engineering validation
Artificial intelligence can accelerate document review, requirement extraction, reporting, comment classification, and preparation of structured project information. But AI should not replace engineering responsibility. In technical projects, output must be checked against real design intent, standards, calculations, interfaces, and project constraints. TEBIN integrates AI where it helps — and keeps engineers responsible for the logic, validation, and final decision.
- Specification and requirement extraction
- Tender document comparison
- Comment and RFI classification
- Meeting note structuring
- Compliance review support
- Technical report drafting and summarisation
- Data extraction from documents and spreadsheets
- Human engineering validation before every use
Automation supports engineering.
It does not remove engineering responsibility.
Automation is not a shortcut around engineering checks. It is a way to make repeatable work faster, more consistent, and easier to control. Every tool must be based on correct assumptions, project-specific rules, and validated input data.
Best suited for projects with
Get in touch
Have a repetitive
engineering task?
Show us the task, input data, required output, and validation rules. We will map the engineering logic and define a practical automation or artificial intelligence-assisted workflow that fits your standards and BIM process.
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