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On the recordRead 9 Oct 202613 facts
Xtreme1
Plans and prices
Private-Cloud Deployment
$6,600a year
Customizable payment cycle, seats, storage and model calls · On-premise deployment options
Read 9 Oct 2026 · basic.ai
On the record
- Annotation features
- Its listed capabilities include 2D/3D object detection, 3D segmentation, LiDAR-camera fusion, data quality monitoring and model-result visualization.docs.xtreme1.io · read 9 Oct 2026
- Cloud version
- The documentation identifies BasicAI as the cloud version and the GitHub README links to a free enterprise demo request.docs.xtreme1.io · read 9 Oct 2026
- Data types
- The project says it supports labeling images, 3D LiDAR and 2D/3D sensor-fusion datasets.github.com · read 9 Oct 2026
- Deployment
- The open-source project is installed with Docker Compose and can be run on Linux, Windows or MacOS.github.com · read 9 Oct 2026
- Integrations
- The feature page links image annotation with YOLOR and RITM, and LiDAR-camera fusion workflows with OpenPCDet and AB3DMOT.docs.xtreme1.io · read 9 Oct 2026
- License
- The software is licensed under Apache 2.0, and the README identifies Xtreme1 as an LF AI & Data Foundation project.github.com · read 9 Oct 2026
- LLM support
- The GitHub README lists RLHF annotation for large language models as a beta feature.github.com · read 9 Oct 2026
- Ontology
- The configurable Ontology Center supports classes with hierarchies and attributes for model training.docs.xtreme1.io · read 9 Oct 2026
- Pre-labeling
- Built-in pre-labeling and interactive models support 2D/3D object detection, segmentation and classification.docs.xtreme1.io · read 9 Oct 2026
- Pricing limits
- The BasicAI platform pricing page lists private-cloud deployment starting from $6,600/y, with seats, storage and model calls customizable.basic.ai · read 9 Oct 2026
- Requirements
- The README lists AMD64 or ARM64 CPUs, at least 2GB RAM and 10GB or more free disk space; built-in model containers require a Linux server with NVIDIA CUDA and a T4 or similar GPU.github.com · read 9 Oct 2026
- Security reporting
- The project security policy says it follows the Linux Foundation process for reporting vulnerabilities to LF projects and foundations.github.com · read 9 Oct 2026
- What it does
- Xtreme1 is an open-source platform for multimodal training data that supports data annotation, curation and ontology management.docs.xtreme1.io · read 9 Oct 2026
