Quanto for Revit: Accelerating BOQ Preparation for Quantity Surveyors

Concolabs Editorial
Concolabs Editor

Concolabs provides Quanto for Revit to solve the bottleneck of manual quantity take-offs. By reading your Revit model directly, the software generates a priced Bill of Quantities (BOQ) using AI-driven rate prediction based on your firm's historical data. This transition from manual measurement to automated extraction reduces project timelines from weeks to hours for professional QS teams.
Key Takeaways
- Quanto for Revit automates the extraction of quantities directly from BIM models.
- AI-powered rate prediction leverages your firm's specific pricing history for accuracy.
- The software reduces the BOQ preparation cycle from weeks to a matter of hours.
- Professional oversight remains essential to validate AI-generated outputs and model data quality.
How does Quanto for Revit automate the BOQ process?
Quanto for Revit functions by interfacing directly with your Revit environment to identify geometry and parameters. It interprets the model data to categorize elements into standard measurement formats. Once the quantities are extracted, the system applies AI rate prediction to assign costs based on your firm's historical project data. This removes the manual entry phase and allows your team to focus on high-level cost analysis.
Why is AI rate prediction more reliable than generic databases?
Generic cost databases often fail to account for specific regional market conditions in the Middle East or Sri Lanka. Concolabs designed Quanto for Revit to learn from your firm's unique pricing history. By utilizing your own data, the AI provides estimates that reflect your company's actual procurement performance and current market rates, ensuring the BOQ is grounded in your professional reality.
Can AI replace the need for professional QS judgement?
No, AI is a tool to assist, not replace, the quantity surveyor. While Quanto for Revit handles the repetitive task of measurement and rate assignment, the human expert must verify the model's integrity and the logic behind the rate predictions. Professional judgement is required to identify anomalies in the model or unusual site conditions that the AI might overlook without specific input.
What impact does this have on project timelines?
Traditional BOQ preparation is often the most time-consuming phase of pre-construction. By automating the extraction and pricing process, Concolabs enables firms to deliver accurate cost plans in hours rather than weeks. This speed allows for more iterations during the design phase, helping clients make informed decisions earlier in the project lifecycle. [INTERNAL-LINK: Learn more about connected workflows -> connected-construction-data-workflow-project-lifecycle]
How to integrate Quanto for Revit into your current workflow?
Integration begins with standardizing your Revit modelling practices to ensure data consistency. Once your team adopts a structured approach to model parameters, Quanto for Revit can effectively map these to your BOQ templates. We recommend starting with a pilot project to calibrate the AI rate prediction against your manual estimates. [INTERNAL-LINK: Read about measurement control -> automate-boq-preparation-measurement-control]
Pre-Extraction Checklist for Revit Models
- Verify all structural and architectural elements are correctly categorized in Revit.
- Ensure model parameters align with your standard measurement rules.
- Confirm that historical pricing data is updated and accessible for the AI.
- Check for missing or incomplete element properties that could affect quantity extraction.
- Assign a lead QS to review the AI-generated BOQ output before final submission.
- Validate that the model version matches the current design stage.
Evidence required before publishing: Evidence required before publishing: Please provide a screenshot of the Quanto for Revit interface showing a sample BOQ output, a signed statement from a partner QS firm confirming the time savings, and a sample dataset format used for rate prediction training.
Frequently Asked Questions
Does Quanto for Revit work with all versions of Revit?
Quanto for Revit is designed to be compatible with current industry-standard versions of Autodesk Revit. We recommend checking the specific technical documentation provided by Concolabs to ensure your firm's software version is fully supported for optimal performance and data extraction accuracy.
How does the AI handle unique or custom building elements?
The AI is trained to recognize standard Revit families. For custom or unique elements, the system relies on the parameters defined by the modeler. If an element is well-defined in the model, the AI can extract the quantity, though professional review is always advised for complex, non-standard components.
Is my firm's pricing data kept private?
Yes, Concolabs prioritizes data security. Your firm's pricing history is used exclusively to train the AI model for your specific account. We do not share your proprietary cost data with other firms or third parties, ensuring your competitive advantage remains protected.
What happens if the Revit model is incomplete?
If the model is incomplete, the BOQ generated will reflect those gaps. Quanto for Revit will highlight areas where data is missing, allowing the QS to identify and address these deficiencies. The tool acts as an early warning system for model quality issues.
Can I adjust the rates predicted by the AI?
Absolutely. The AI provides a suggested rate based on historical data, but the final BOQ is fully editable. Quantity surveyors retain full control to override any rate, add contingencies, or adjust for specific project risks before finalizing the document for the client.
What should the reader do next?
Quanto for Revit represents a shift toward data-driven cost management. By automating the heavy lifting of BOQ preparation, Concolabs empowers QS firms to focus on value engineering and strategic advice. To see how this fits into your firm's specific requirements, visit our product page at /learnmore/quanto-revit.
Review the workflow with the Concolabs team, confirm the required inputs and professional review points, then explore Quanto for Revit.
