See how we produce optimal AI solutions for our clients.
Our client is a U.S.-based startup specializing in automated roof measurement for the insurance industry. Their core business involves providing insurers with precise roof dimensions, structural layouts, and damage assessments based on drone imagery. To improve accuracy and reduce manual effort, they needed a custom software solution that could automatically reconstruct roofs in 3D, extract relevant measurements, and generate clean 2D plans suitable for underwriting and claims.
Published: December 8, 2025
The client provides a construction intelligence platform that aggregates raw construction data from a wide range of regional providers. This includes details about active and planned building projects, such as contractors, costs, timelines, and locations. The data is often incomplete or inconsistent across sources, requiring significant processing before it becomes usable. To address this, the client required an AI pipeline for construction and infrastructure data aggregation, combined with robust data engineering for PropTech to support future analytics and automation. The goal was to build a system that could handle large volumes of messy, semi-structured data, align it to a unified schema, and enrich it with geographic and financial context. The processed data would then serve as the foundation for AI for infrastructure analytics, machine learning, and client-facing reporting, showing how to build filterable construction intelligence from raw data feeds.
Published: June 24, 2025
We created a marketing forecasting solution for real estate businesses increasing house sales 16,5 times per month. Check out how data science, predictive analytics, and targeted advertising made our client happy.
Published: August 19, 2022