Flai is an unknown tool that automates LiDAR point cloud classification. It transforms raw LiDAR data into valuable insights using advanced AI models, offering pre-trained models and custom classifiers.
Flai is an AI-powered platform designed to automate the classification and processing of large LiDAR point cloud datasets. It offers pre-trained AI models with over 40 semantic classes, enabling users to quickly extract actionable insights from unstructured LiDAR data. Beyond classification, Flai provides advanced data processing capabilities with over 40 modular processors for manipulation and generation of raster and vector deliverables. Users can also train custom classifiers to extract specific features. The platform supports flexible deployment options, including a cloud-based SaaS web application and a self-hosted solution, catering to various project needs and data security requirements. Flai aims to significantly reduce manual effort and accelerate the analysis of geospatial information for industries like wide area mapping, forestry, power lines, mobile mapping, and mining.
Best used for
Ideal for GIS experts and data scientists who need to classify large LiDAR datasets, process geospatial information, and extract custom features. Especially valuable for industries like forestry, power line management, and urban planning requiring automated and accurate analysis of 3D point cloud data.
Common actions
classify point clouds
process LiDAR data
extract geospatial features
automate data analysis
train custom AI models
AI classification3D datadata processingpoint cloudforestryLiDARminingGeospatialpower line monitoring
Capabilities
Key features
Automatic LiDAR classification
40+ semantic classes
Advanced data processing
Custom AI classifiers
Cloud/self-hosted deployment
Online 3D viewer
Raster/vector deliverables
Target Audience
data scientist
Integrations
Not yet documented
Pricing & Plans
Freemium · Paid · Usage-based · Enterprise
Contact for Pricing
FAQs
How does Flai's pay-per-download model work?
You can process and view your data for free within the Flai platform. Charges only apply when you choose to download the classified or processed datasets. Pricing is based on consumed processing units (PUs), which are influenced by point density, use case complexity, and area size.
What factors determine the pricing for Flai's services?
Pricing is determined by the amount of processing units (PUs) consumed. Key factors include the point density of the LiDAR data, the complexity of the processing flow (number of classified categories and additional products), and the total area size of the project. A pricing calculator is available for estimates.
Can I use Flai for custom feature extraction from LiDAR data?
Yes, Flai offers a custom AI service that allows you to train tailor-made classifiers. This enables the extraction of specific objects or features from point cloud data that are unique to your project's needs, enhancing automation and accuracy for specialized workflows.
What are the storage limits and data retention policies for Flai users?
The free trial includes 25 GB of storage with a 30-day data retention policy. Paid plans offer more storage (25 GB to 1000 GB) and no data retention policy. Users can store up to 200 GB of point cloud data in the application, with options to contact support for more.
Does Flai offer a self-hosted solution for data processing?
Yes, Flai provides a self-hosted solution for running its algorithms locally. This option is ideal for organizations that require enhanced data security and prefer to keep sensitive information within their internal network, offering an on-premises deployment alternative to the SaaS web application.
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