Invisible Technologies vs Labelbox

Documents and automates manual business workflows: maps how work actually gets done, then runs every step automatically, routing to the right AI system or person and enforcing quality checks.

Deploys agents that carry out multi-step work with tool use and an audit trail.

Evaluates AI systems for quality, safety and accuracy against criteria a customer defines.

Recruits and manages experts who produce training data, evaluations and reinforcement-learning environments for AI labs.

Network of 24,000+ vetted domain experts, continuously screened and organized by skill, language and domain expertise, for AI data labeling, testing and edge-case handling.

Data platform that pulls messy, scattered data from across a company's systems into one governed place, automatically cleaning and organizing it into an AI-ready foundation.

Labelbox's reinforcement-learning platform for developing, evaluating and deploying enterprise specialist agents, connecting RL environments, evaluation systems and a training loop that fine-tunes models from graded rollout trajectories.

Horizon supplies RL training gyms and evaluations for reasoning, tool use and computer use, using WorldSim to simulate enterprise environments such as GitLab, Jira, CRM, email and chat and to produce calibrated reward and preference signals for post-training.

Alignerr is Labelbox's expert-network product that routes AI training and evaluation tasks to credentialed contributors across 200+ knowledge domains and 40+ countries and returns structured outputs for RL training, RLHF and evaluation workflows.

Terra is Labelbox's robotics data product delivering video, trajectories and multimodal annotations across pre-training, post-training and evaluation stages, including expert teleoperation with action labels and multiple camera perspectives for embodied foundation models.