Naska.AI is an AI construction software platform that integrates Building Information Modeling (BIM) data with reality capture and project scheduling. This technology enhances project coordination and accuracy, reducing delays and inefficiencies in construction workflows.
Funding
$3.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Construction projects often suffer from cost overruns and delays due to inefficient quality control and progress tracking. Manual processes for verifying work, highlighting deviations, and identifying missing elements are labor-intensive and prone to error. This can lead to rework, litigation, and difficulties in coordinating site teams.
Solution
Naska.AI offers an AI-powered construction software platform that automates quality control and progress tracking by connecting Building Information Modeling (BIM) data, reality capture, and project schedules. The cloud-based platform analyzes data captured on-site, comparing it against the BIM model and schedule to deliver actionable insights. This enables automated verification of work, identification of deviations, and tracking of progress over time, reducing risk and uncertainty in project delivery. The platform provides a web-based interface for users to access information, visualize issues, and push data back into existing BIM workflows.
Target Audience
Naska.AI targets developers, owner-operators, and general contractors seeking to reduce risk and uncertainty in construction project delivery through automated quality control and progress tracking.
Features
- Automated quality control: Verifies work, highlights deviations, and identifies missing elements.
- Automated progress tracking: Tracks work and quality over time in line with the project schedule.
- Data capture from terrestrial scanners or mobile laser devices.
- Web portal for uploading site data and comparing it against BIM data.
- AI and machine learning algorithms for analyzing thousands of elements.
- Web-based interface for accessing information and visualizing issues.
- Customizable tolerances for different element types (columns, walls, floors, MEP, etc.).
- Secure data storage with encryption on AWS.