Data Extraction Algorithms
Advanced algorithms extract data from construction drawings to provide detailed and accurate information about materials and equipment needed for a project.
AI-PoweredEstimation forHVAC Bidding
MLEstimation by Codiste simplifies HVAC project bidding with advanced ML algorithms. It ensures precise drawing annotations and quantity take-offs, enabling contractors to generate detailed bills of materials in minutes.
750×300Ø 380 mmQty: 48 units04mo
Concept to launch
Flutter
Cross-platform build
Mins.
Not days, per take-off
HVAC
Contractors & engineers
Manual counting was costing winnable bids
HVAC contractors once hand-counted every fitting from construction drawings - slow work, and a single slip could lose the bid. Codiste built MLEstimation to automate take-offs with data extraction, so estimates are fast, accurate, and simple enough for any stakeholder to run.
DRAWING → TAKE-OFF
Drawings in → Take-offs outBefore · Manual
×Hand-count every fitting
×Hours of spreadsheet entry
×Human error in the bid
Daysper estimate
After · MLEstimation
✓Auto-extract from drawings
✓BoM generated in minutes
✓Confident, competitive bids
Minutesper take-off
A faster route from drawing to bid
Our client, a HVAC contractor, required a software solution that could help them create detailed quantity take-offs from construction drawings quickly and accurately.
They wanted a user-friendly interface that was easy to navigate and understand, and that would allow them to create more accurate and competitive bids.
Everything inside MLEstimation
Our team incorporated seamless functionalities right from data extraction to facility planning. These features were designed to give the optimum best to the end users - contractors, architects, engineers and facility managers.
Detailed & Accurate Project Information
Detailed and accurate project resource and cost information, allowing for better planning and resource allocation.
User-Friendly Interface
A user-friendly interface for efficient and effective use, helping clients make the most of its functionalities with ease.
Reduce Time and Cost
Eliminates manual counting, letting clients focus on other aspects of their business and complete projects efficiently.
Enhanced Bid Precision & Competitiveness
Improves project cost estimation through accurate material and equipment information extraction, enabling more precise bids.
F.06
Facility Maintenance Planning
Efficient building maintenance planning that prolongs equipment life and reduces maintenance costs - useful for owners and facility managers, not just contractors.
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A range of modern technologies we have used
The Team Codiste used this technology stack to make Machine Learning Estimation successfully - one cross-platform codebase serving a fast, accessible dashboard.
Flutter
Google OCR
AWS
React
MongoDB
Node.js
ML Data Extraction
Estimation EngineBids placed with confidence
We delivered a software solution that met the client's requirements and addressed their challenges. Our solution provided detailed and accurate quantity take-offs from construction drawings, saving time and money, and helping the client create more accurate and competitive bids. The user-friendly interface made it easy to use and get the most out of the software.
With our solution, the client was able to bid on HVAC projects with confidence, knowing they had the most accurate and up-to-date information. The software was not only useful for HVAC contractors but also for architects and engineers, as well as building owners and facility managers, who could use it to plan for future maintenance and upgrades.
✓Accurate quantity take-offs straight from construction drawings
✓An interface simple enough for every stakeholder to use
✓More competitive bids, won with confidence
✓Maintenance planning for owners and facility managers
// Built in 4 months · Flutter4 moTo launch
1Cross-platform codebase
4User roles served
Win Your Next HVAC Bid
Reach out to our team for immediate assistance and expert guidance on automating your estimation and take-off workflow.
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