Project Statistics
- Spreadsheet-style board for tracking in-progress construction tasks
- Displays task descriptions and current progress status
- Links each task to Jira or external systems
- Shows per-task estimation accuracy percentages
An AI construction estimation platform that automates cost calculations and reviews human estimates against historical project data to improve planning accuracy.






The engagement began with a discovery phase in which we mapped the client's existing estimation workflows and proposed a full rebuild. The scope centered on process automation and a built-in AI model for data analysis and project estimation.
A dedicated team spanning architecture, backend, AI, frontend, cloud, and DevOps built the platform using Python, React, and Apollo, and containerized it with Docker and Kubernetes on AWS. Task tracking mirrored the client's Jira setup, which the platform also integrates with.
We reproduced the client's spreadsheet-based UX to keep retraining minimal and validated AI estimates against historical project data. Delivery included the estimate analysis board that compares projected and actual cost and time.
Achieving accurate cost projections
Real-time data estimation with automated calculations that account for all project expenses and minimize errors.
Tracking employee performance across projects
A dedicated contractor statistics tab with search, per-project task data, and automated success calculations.
Slow, resource-intensive estimation
An AI assistant with access to real-time and historical data, generating predictions and reviewing existing estimates.
With Incora's support, we were delivered a polished console experience and quickly iterate new features to market. We have been very impressed with the level of Incora's communication. In my previous experience, this has been one of the biggest challenges in working with off shore development teams, but everyone we have worked with at Incora has had impeccable communication skills, both written and on Zoom calls.
Volodymyr and Mark (ed: Incora developers) are quite smart and greate programmers. I have worked with more than 100 programmers and done more than 20 software projects. Both are top 10% of people I have worked with.
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