keeneo
  • Artificial intelligence

Processing aerial data with AI to create ready to use 3D models of buildings

Client
German start-up operating in the fields of building and construction & Artificial Intelligence
Challenges
Application reengineering, Artificial Intelligence, Product Development
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Business purpose

Thanks to the customer’s platform, users (construction companies, building inspectors, real estate agencies, or even property owners) can order high-quality images, videos, 3D prototypes and 2D construction blueprints of buildings all around Europe. Having obtained the permission for filming, a specialized drone operator shoots a video of the site in question, and uploads their footage to the customer’s software for AI processing and analysis. As a result, the user receives a detailed report containing measurements of all structural parts of the building, various inspection details, a CAD-ready model and other actionable data that can be used for a multitude of purposes – from creating house renovation plans to designing solar system projects for the city.

Our solution

The primary objective of our initial project with the customer was to assist their team in enhancing the efficiency and functionality of their current solution for processing aerial data. This involved optimizing existing workflows, integrating advanced data analytics tools, and ensuring robust data security measures. In addition to these improvements, we also focused on the development and implementation of new features. These new features were specifically aimed at expanding the solution's capabilities to include subscription management and online payment processing, thereby providing a more comprehensive and user-friendly experience for their end users. Our collaborative efforts were designed to not only meet the immediate needs of the customer but also to pave the way for future scalability and innovation.

Achievements

12 new features

The project successfully delivered 12 new features, significantly enhancing the product’s capabilities. These innovations addressed key customer needs.

Increased Efficiency

The project successfully streamlined workflows and automated key processes, resulting in a 30% increase in operational efficiency and significant time savings for the team.

Scalable Infrastructure

The project developed a robust and scalable infrastructure that can handle a growing user base, ensuring the system remains reliable and performant even as demand increases.

Enhanced User Satisfaction

By implementing user-friendly features and improving the overall design, the project led to a 40% increase in user satisfaction scores and positive feedback from customers.

″Keeneo improved our aerial data processing, added subscription and payment features, and streamlined our operations. Their expertise and collaboration have been invaluable.

We're thrilled with the results!

CTO of the Customer″

Project specs

a team of

1

FTE
during

1

year

Technologies

  • Python
  • Java
  • Kubernetes
  • Jungle AI
  • ML
  • SQL

Our role

  • Project Management
  • Back-end Development
  • Technical Direction
  • Code Modernization
Project timeline
Discovery phase: 8 days
Product development: 220 days
User testing: 10 days
Handoff: 5 days

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