Alphabet (Google) vs Labelbox
Relationship
Recursion and Gemini Enterprise Agent Platform (formerly Vertex AI) do comparable work on model training; both also serve buyers who need to serve a model in production and train or fine-tune a model; similar scale (public).
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
6 of 8 capabilities — Shares agent orchestration, data analysis, evaluation and observability and 3 more.
Ludbee capability tags · from the product recordsShared product type — Both ship agent platform, application, developer tool and 1 more.
Ludbee product recordsAligned comparison
Capability overlap
Shared · 6
Not verified for Labelbox · 24
Recorded for Alphabet (Google). Labelbox’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Alphabet (Google) · 2
Recorded for Labelbox. Alphabet (Google)’s product records say nothing either way — a missing record is not a missing capability.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Alphabet (Google)
Application
A named tab in Google Search — "our most powerful AI search, with more advanced reasoning and multimodality" — that answers a query conversationally over web sources rather than with a link list.
Standalone mobile app (iOS/Android) delivering personalized, AI-illustrated daily stories synthesized from a user's connected Google services (Gemini, Gmail, Calendar, Photos, YouTube, Search).
Google's assistant for chat, research, image generation and work across Google apps.
A source-grounded research tool that summarizes, answers questions from and generates audio overviews of documents a user uploads.
AI filmmaking application for creating cinematic clips and scenes, built on Veo (video), Imagen (image) and Gemini (prompting) — the application layer above the Veo model already recorded in models.json.
Agentic music co-producer, formerly ProducerAI and graduated from Google Labs, that chats with you about ideas, generates and edits songs, learns your style, and offers free unlimited downloads.
An AI-assisted video creation and editing application bundled with Google Workspace that generates video from text prompts, slides or screen recordings.
A Google Labs science tool (built with Gemini Notebook) that runs a comprehensive literature search, structures results in a data table and produces reports, slide decks and infographics.
AI-powered concepting board for exploring, expanding and refining visual/creative ideas.
Agent platform
Studio inside Gemini Enterprise for Customer Experience for building, testing and deploying customer-facing AI agents across voice and chat channels.
A seat-licensed enterprise application for discovering, building and running AI agents across an organization's business tools, formerly branded Agentspace.
Developer tool
Enterprise-grade notebook environment (IAM-managed access, Google Cloud security/network, official support) explicitly distinguished on its own page from the free Colaboratory product.
An AI coding assistant integrated into IDEs, GitHub pull requests and a CLI, sold in free, Standard and Enterprise tiers.
A free web tool for prototyping prompts and testing Gemini models before moving to the Gemini API for production use.
Agentic software-development platform managing autonomous coding agents across an IDE, a graphical command center and a terminal-first CLI surface.
Managed JupyterLab notebook instances on Google Cloud, prepackaged with deep-learning frameworks and integrated with BigQuery, Cloud Storage and scheduling, for developing and training models end to end.
Platform
Lets analysts create, train and run machine-learning and generative-AI models inside BigQuery with GoogleSQL — from trained regression and forecasting models to remote calls on Gemini and Cloud AI APIs — without moving the data out.
Google Cloud's platform for training, tuning, serving and evaluating models and agents.
Google Cloud's customer-experience suite — Customer Experience Agent Studio, Agent Assist, Customer Experience Insights and Contact Center as a Service — for building AI agents and assisting human agents across contact-centre channels.
Labelbox
Application
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.
Agent platform
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.
Developer tool
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.
Platform
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.
No counterpart
Alphabet (Google) sells these in a stack layer with no product recorded for Labelbox yet — nothing on the other side to compare them against.
API service
Enterprise search and retrieval service on the Gemini Enterprise Agent Platform (formerly Vertex AI Search) that indexes an organisation's websites, documents and structured data and serves search, answers and recommendations to applications and agents.
A managed Google Cloud API that transcribes audio to text, supporting streaming and batch recognition across 85+ languages.
A managed Google Cloud API that synthesizes natural-sounding speech from text across 380+ voices and 75+ languages.
A managed Google Cloud API that translates text and documents across more than 100 language pairs using neural machine translation, custom models or a translation-specialized LLM.
A managed Google Cloud API for image and document analysis, including object, face and landmark detection, OCR text extraction, and explicit-content tagging.
A pay-per-page API for extracting, classifying and summarizing structured data and text from documents such as invoices, forms and IDs.
ML-based text understanding: sentiment analysis, entity recognition, syntax analysis and content classification.
Video AI service that analyzes video content for object/label/shot detection and other video-intelligence tasks.
AI agent
An agentic research engine (built with AlphaEvolve and ERA) that generates and scores code variations against the user's optimisation metrics to discover models and algorithms.
A multi-agent research tool (built with Co-Scientist) that simulates the scientific method to identify knowledge gaps and propose testable research plans.
An autonomous coding agent that clones a GitHub repository, plans and writes code changes in a cloud VM and opens a pull request for review.
Model API
A developer API, distinct from the consumer Gemini app, for integrating Gemini and Gemma models into applications and billed per token.
Hardware
Google's custom AI accelerator chips, rented by the chip-hour on Google Cloud for training and serving machine learning models.
Labelbox sells these in a stack layer with no product recorded for Alphabet (Google) yet — nothing on the other side to compare them against.
Data service
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.