Baidu vs Labelbox

Baidu's driverless ride-hailing service, operating in Chinese cities under the name Luobo Kuaipao.

Baidu's consumer assistant for chat, writing and image generation, built on the ERNIE models.

AI coding assistant, marketed in Chinese as Wenxin Kuaima, that generates code, unit tests and comments and answers programming questions through IDE plugins.

Baidu's open-source deep learning framework for building, training and deploying machine learning and large models, anchoring an ecosystem that includes AI Studio, EasyDL and EasyEdge.

Baidu's open autonomous-driving developer platform offering cloud simulation, a fleet R&D cloud, high-precision mapping and calibration services and the D-KIT hardware development kit, distinct from the Apollo Go robotaxi service.

Data intelligence platform that converts unstructured enterprise data into agent-comprehensible formats and business-ontology models, with a Data Agent for supply-chain, retail, LLM-training, autonomous-driving and RAG use cases.

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.