Automation Anywhere vs Labelbox

A conversational generative-AI assistant embedded inside business applications such as SAP, Workday and Salesforce that turns natural-language requests into built and deployed automations, using the Process Reasoning Engine for business context.

Intelligent document processing that uses natural language processing, computer vision and generative AI to classify, extract and validate data from structured, semi-structured and unstructured documents including handwriting, barcodes and free-form text.

Records how work is actually done on employees' screens with computer vision, uses AI to uncover every process variation and map it, redacts personal data through a Privacy Enhanced Gateway, and ranks which processes to automate next. Part of the Agentic Process Automation Platform.

A low-code workspace for building, testing and governing goal-driven AI agents that connect to third-party foundation models from AWS, Google Cloud, Azure OpenAI and OpenAI, with built-in AI Guardrails for data masking and toxicity checks.

A generative automation builder that takes intent from plain language, SOPs, BPMN diagrams, screenshots or voice, produces a structured plan for review, then generates agents, API tasks, processes, forms and bots as governed production automations.

A set of generative-AI tools for the people who build automations on Automation Anywhere's platform: Autopilot turns process documents into ready-to-deploy automations, Co-Pilot for Automators builds steps from natural-language prompts, and Generative Recorder adds a GenAI fallback so workflows keep running when a screen changes. Part of the Agentic Process Automation Platform.

A test environment that runs an end-to-end workflow before it goes live: simulation mode generates test data and models each step's output without touching live systems, AI proposes extra scenarios and edge cases across APIs, bots, agents and human steps, and the results point at gaps and broken branches to fix. Part of the Agentic Process Automation Platform.

The vendor's umbrella platform combining goal-driven AI agents, RPA, APIs and human-in-the-loop review to orchestrate enterprise workflows; sold as licensable modules including AI Agent Studio, Automation Co-Pilot, Automator AI, Document Automation, Process Discovery, Process Reasoning Engine and the Mozart Orchestrator, each recorded separately.

Coordinates autonomous AI agents across bots, systems, data and human touchpoints with goal-driven, self-healing workflow execution.

A vendor-agnostic context layer that grounds AI agents and workflows in role-based enterprise business rules, policies, SOPs, systems of record and knowledge bases, including unstructured documents with tables, forms and layout, and self-learns from process execution.

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.

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.

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.