Xtreme

Xtreme, by BasicAI, is an enterprise-grade data annotation platform built for teams that need to keep sensitive training data inside their own infrastructure. Instead of a SaaS subscription, Xtreme installs within your environment, giving you direct control over data access and processing while still delivering a full annotation toolset. It's designed for organizations working on autonomous driving, robotics, smart city projects, and large language model training, where data security is non-negotiable. The platform covers a wide range of annotation types—including 3D LiDAR point clouds, images, video, text, audio, 3D sensor fusion (LiDAR + camera), and 4D radar (beta). That breadth makes it one of the few tools where a single platform can handle everything from simple 2D bounding boxes to complex spatial fusion tasks. For LLM and Gen AI teams, it supports RLHF and SFT dataset creation, so it's not limited to computer vision work. Xtreme's AI-assisted labeling reduces manual effort across image, point cloud, and audio data. The workflow engine includes task management, role-based organization, and performance tracking, which helps project managers keep large annotation teams coordinated. Built-in QA with customizable batch rules and multi-level inspections aims for 99%+ accuracy, while data conversion pipelines let you export datasets into the formats your models expect. What sets Xtreme apart from SaaS alternatives like Labelbox or Supervisely is its private-cloud focus and its rare support for 3D sensor fusion and 4D radar. But that enterprise positioning comes with a catch: there's no free tier, no monthly plan, and pricing starts at $6,600 per year for private-cloud deployment. This is a tool for serious teams with serious budgets, not for casual or small-scale labeling needs.