Labelbox vs Yandex

Annotate is the data labeling product within Labelbox, providing 10+ built-in editors for multimodal chat, LLM evaluation, prompt/response generation, computer vision and NLP, plus customizable labeling and review workflows and team performance monitoring.

Catalog is Labelbox's data curation and search product providing out-of-the-box search across images, text, video, conversations and documents over metadata, vector embeddings and annotations without building your own vector database infrastructure.

Foundry runs third-party foundation models over data already in Labelbox to pre-label and enrich image, text and document datasets without code, routing the predictions to human review; billed as inference cost per model run plus Labelbox Units.

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.

Yandex's consumer AI assistant and chat product, which answers questions with web search, analyses uploaded files, and generates text and images from Yandex's own generative models.

Speech-analytics service that transcribes and analyses voice and text customer conversations to surface topics, sentiment and service-quality metrics.

Yandex's AI coding assistant for VS Code and JetBrains IDEs, offering completion, chat, code review and an agent mode that carries out development tasks from natural-language instructions.

Yandex Cloud platform that serves Yandex's generative models (YandexGPT, YandexART, embeddings, classifiers) over an API, with fine-tuning, a model gallery and agent/assistant tooling.

End-to-end managed ML development environment with notebooks, distributed training jobs and one-click model deployment on elastically scaled CPU/GPU resources.