San Francisco, California Aug 22, 2024 (Issuewire.com) - Classification of LiDAR point clouds is extremely complex, time-consuming and it’s something the Flai team experienced first-hand. “I used to work as a point cloud annotator and delivering accurately classified point clouds when working on a tight deadline is mission impossible,” said Nejc Dougan, CTO of Flai.
Flai aims to simplify and speed up point cloud operations by automating classification at scale, achieving high accuracy with pre-trained AI models and templates, and introducing one-click data processing. With these, any geospatial consultant or project manager can now accurately classify data points across different use cases and industries without extensive onboarding or training.
"We are excited to introduce Flai to the market," said Luka Rojs, CEO of Flai. "Our platform is designed to make point cloud data processing more accessible and efficient. We believe Flai will set a new standard in the cloud-based LiDAR tools space." Product Features and Highlights:
- Point Cloud Classification: Pre-trained AI models automate highly accurate classification of LiDAR data.
- Online 3D Viewer: A fast online 3D viewer created for easier collaboration with clients.
- Tools for Manual Annotation: A built-in set of tools for manual annotation and quality control.
- Automated Point Cloud Processing: Define an automated flow of tasks for automated processing with a simple drag-and-drop UI.
- Evolve the AI model: Train your own AI model to cover all your clients asks.
- Scalable Platform: As a cloud-based platform, Flai scales effortlessly with your workload. Simply buy processing units when you need them, without any vendor lock-in.
- Flexible Deployment Options: Deploy our web app locally with our on-prem offer. Or keep your work in a cloud. The choice is yours.
Flai offers multiple pricing tiers perfect for GIS consultants as well as larger companies and a generous free tier you can try today at https://www.flai.ai/.
About Flai
Flai is an innovative company developing an AI platform for the automatic classification of LiDAR point clouds. Flai uses LiDAR data (airborne, terrestrial, mobile, or UAV) as an input and, with pre-trained AI models, automatically classifies LiDAR points into desired categories. Our services have benefited several domains, from LiDAR mappings of large forest areas, powerlines, large cities, and open mines to LiDAR mappings of natural disasters. Yet Flai is not limited to these use cases; we can retrain our AI models and support the development of new use cases across many different domains.
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