SuperAnnotate

Data factory for AI teams — labeling, evals, and human data for training.

Labelbox is a platform for generating and managing training data for AI models, combining annotation tools (Annotate), data curation (Catalog), and model-assisted labeling and evaluation (Model Foundry). It now spans reinforcement-learning data, custom evals, robotics datasets, and an on-demand network of expert human labelers, metered by a usage-based Labelbox Unit (LBU).

Training data, evaluations, and enterprise GenAI from the data-labeling giant.

Scale supplies the human-annotated training data behind most frontier AI labs through its Data Engine, spanning labeling, RLHF, and expert red-teaming. On top of the data business it runs evaluation leaderboards, an enterprise GenAI platform, and Donovan, its platform for the US public sector.

Agentic AI that automates document-heavy knowledge work and data extraction.

An operational AI platform from V7 Labs that builds and runs agents over complex documents — extracting financial, legal, and commercial terms, completing DDQs, and generating memos with source traceability. It chains foundation models from OpenAI, Anthropic, and Google into multi-step, auditable workflows aimed at finance, insurance, legal, and real-estate teams.

Data platform to curate, label, and manage AI training data.

An enterprise data development platform for preparing high-quality training data across images, video, documents, audio, DICOM, and 3D point clouds. It pairs AI-assisted labeling (SAM auto-segmentation, object tracking) with data curation, model evaluation, and workflow tooling, plus LLM-powered data agents for document tasks. Used heavily in medical imaging, robotics, and other physical-AI domains.