Labelbox vs SAP

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.

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.

Natural-language generative-AI copilot embedded across SAP's cloud applications, answering questions and taking actions across HR, finance, supply chain, procurement and customer-experience data.

Embedded machine learning that automates matching of incoming payments to open invoices in accounts receivable, learning continuously from accountants' correction behaviour.

End-to-end intelligent document processing for structured and unstructured business documents, using OCR, pretrained transformers and LLMs to extract and validate data, embedded across SAP applications such as Ariba, S/4HANA Cloud and Concur.

AI assistance for consultants working on SAP implementation and cloud-transformation projects, grounded in a knowledge base of SAP-focused content.

SAP's AI-first development environment for building custom AI agents, apps and workflows with low-code and pro-code tools, powered by the SAP Business AI Platform.

Embedded AI capabilities in SAP Build and ABAP Cloud that generate application code, data models, tests and UI from natural-language prompts, including an SAP-trained ABAP large language model.

Vendor-agnostic command center for discovering, inventorying, governing and evaluating AI agents, LLMs and MCP servers across SAP, Microsoft, Google, AWS, Databricks and ServiceNow, with observability, identity/access control and agent mining.

Centralized AI lifecycle management across multiple SAP AI Core runtime instances -- resource groups, generative AI prompt lifecycle, model training/deployment and consumption analytics for SAP BTP.

Unifies and governs SAP and third-party data via a business data fabric, providing the trusted data foundation for agentic AI (Joule Agents); bundles SAP Analytics Cloud, Datasphere, Business Warehouse, Databricks, HANA Cloud and Master Data Governance under one data platform.

Centralized platform for accessing SAP and third-party generative AI models through SAP AI Core, with prompt experimentation, orchestration and inference observability for building enterprise AI applications.

Connects a company's SAP data fabric to AI for grounded, hallucination-resistant answers; grounds Joule and other AI services in customer business context, with pre-populated knowledge graphs for SAP solutions.