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Automate document creation, processing, and approvals
Cost Management Software
Track project costs and control budgets in real time
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AI Construction Estimating Software

An AI construction estimating software platform that automates cost calculations and reviews human estimates against historical project data to improve planning accuracy.

Services
Dedicated Development TeamUI/UX Design ServicesDiscovery phase services
Client
AI Construction Estimating Software
Location
UK
Industry
IT Services for Construction Industry
Results
35%
fewer project cost overruns
30%
less time on estimations
15%
lower compliance risk exposure
Current thumbnail
Team
Tech Lead / Software ArchitectAI / LLM EngineerPython Backend EngineerReact DeveloperAWS Cloud EngineerDevOps Engineer
Technologies
Amazon Web Services
Amazon Web Services
Python
Python
ReactJS
ReactJS
Apollo
Docker
Docker
Kubernetes
Kubernetes
PostgreSQL
PostgreSQL

Task-Level Estimation Accuracy

A budget board that summarizes project costs by division and cost code. As construction cost estimating software, it compares original and revised budgets against job-to-date and committed costs to keep every line accurate.
  • Filters budgets by project, division, cost code, and buy-out status.
  • Shows original budget, approved CO's, and revised budget per line.
  • Tracks committed cost percentage across divisions.
  • Charts revised budget against estimated cost at completion.
Task-Level Estimation Accuracy

Contractor Estimates vs Actual Time

A contractor board that tracks each vendor's workload and reliability. Inside the construction project estimating software, it records task volume, on-time completion, and time spent against estimates.
  • Lists each vendor's service and total task count.
  • Shows tasks finished on time with a success percentage.
  • Compares minimum and maximum task estimates.
  • Tracks spent time and percentage spent.
Contractor Estimates vs Actual Time

Category Reporting and Recurring Errors

A task-level board that breaks each task down by category and tracks completion against deadlines. With construction estimating AI watching for recurring gaps, it compares task sums across two intervals to check estimates against past sprints.
  • Counts total tasks and finished tasks per category.
  • Shows a success percentage and total development time.
  • Links or unlinks selected tasks to Jira.
  • Compares task sums across intervals A and B.
Category Reporting and Recurring Errors

Reviewing Human Estimates Against Historical Data

A chat-based AI assistant that answers estimation requests using platform data. This is AI in construction estimating in action: it compares contractor estimates and recommends a figure based on historical data and vendor performance.
  • Compares pessimistic, most likely, optimistic, PERT, and standard estimates.
  • Recommends one estimate with an estimate-match percentage.
  • Reviews existing estimates and flags likely mistakes.
  • Keeps a history of past requests.
Reviewing Human Estimates Against Historical Data

Need Construction Project Estimating Software? We Can Help!

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How We Ran This

Replacing a legacy construction system from scratch while keeping its familiar workflows intact required tight alignment on scope before writing any code.

Discovery & Scoping

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 AI construction estimating built into the platform for data analysis and project estimation.

Execution & Tracking

A dedicated team spanning architecture, backend, AI, frontend, cloud, and DevOps built the construction estimating software 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.

Quality & Delivery

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, contributing to 35% fewer project cost overruns, 30% less time on estimations, and 15% lower compliance risk exposure.

Challenges & Solutions

During this project, we've faced many complex challenges. We believe that each challenge has a solution. See for yourself!
Challenge #1
Achieving accurate cost projections.
Solution #1

Real-time construction estimating software with automated calculations that account for all project expenses and minimize errors.
Challenge #2
Tracking employee performance across projects.
Solution #2

A dedicated contractor statistics tab with search, per-project task data, and automated success calculations.
Challenge #3
Slow, resource-intensive estimation.
Solution #3

An AI assistant with access to real-time and historical data, going beyond ai construction takeoff software to generate predictions and review existing estimates.

Clients say

Now this was a great experience. The code was built on time. The end results are beautiful. The deployment went smoothly. We are ending this contract and starting another. Excellent professional tier mathematician. Successful project.

Grover Righter

Grover Righter

Grover Righter , Data Scientist & Founder of Lever10

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.

Maysam Lavasani

Maysam Lavasani

CEO, Lexie.ai

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Anastasiia Pryshliak
Anastasiia Pryshliak
Senior Partnerships Manager

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