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Wearables & devices · Device
Labelbox
ResearchedLabelbox is an RL data engine providing environments, evaluation infrastructure, and human preference signals for AI teams. Its Horizon, Terra, Alignerr, and Recursion products serve 90%+ of leading U.S. AI labs and enterprises across reasoning, robotics, and agent workflows.
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Visit live site See the official site at a glance
Read-only public captures of Labelbox’s homepage and verified pricing page. Screenshots are dated, never live embeds, and open full-screen.
In one minute
Start here for the decision-making essentials: what Labelbox does, who it is for, how it is accessed, and the first-party sources behind this profile.
PricingCurrent signal
A free tier/option is offered ("Start for free" link present on site)
Team sizeNot disclosed by source
Product typePhysical device
Founded2018
Response timeSee official site
DeliveryLocal
Best suited to
Source-backed fit AI labs needing RL data and evaluation infrastructure Enterprises building specialist AI agents on real workflows Robotics foundation model teams Teams evaluating multimodal AI models Organizations needing RLHF and human preference signals Leading AI labs in the U.S. (over 90%) and enterprises
Decision support
6 sourced answersCommon questions and adoption checks
Short answers to the questions buyers and builders commonly ask about Labelbox. Each answer cites the shared ledger below, where every source is listed once.
01What does Labelbox say it can do?
RL data engine providing data, environments, and evaluation infrastructure for AI teams · Scenario generation and grading with expert-built scenarios, synthetic edge cases, and str · Labelbox provides products and guides covering Build AI, Use AI, Explore & manage data, La · Labelbox Leaderboards is an innovative, scientific process to rank multimodal AI models th
The RL data engine for AI teams
02Who is Labelbox intended for?
Leading AI labs in the U.S. (over 90%) and enterprises · Customers across Technology and software, Agriculture, Aerospace, Healthcare, Media and en · The world's leading AI labs and enterprises. · Partners with over 90% of leading AI labs in the U.S.
we partner with over 90% of leading AI labs in the U.S. and the innovators defining the next frontier of AI
03What use cases does Labelbox describe?
Reasoning, tool use, computer use, autonomous AI research, scientific knowledge work, agen · Robotics foundation model data across pre-training, post-training, and evaluation · Evaluating leading text-to-speech models using both human preference ratings and automated · Optimizing Retrieval-Augmented Generation (RAG) applications by focusing on metrics like c
spanning reasoning, tool use, and computer use across autonomous AI research, scientific knowledge work, agent coding, and cybersecurity.
04What should teams verify before adopting Labelbox?
Enterprise specialist agents operate at a fraction of frontier AI token costs · Expert-authored benchmark items are labor-intensive, averaging about 11 person-hours per p
Recursion is the RL platform for building, evaluating, and continuously improving specialist AI agents on real enterprise workflows at a fraction of frontier AI token costs.
05What pricing information is available for Labelbox?
A free tier/option is offered ("Start for free" link present on site)
Start for free
Ledger citation[10] labelbox.com/company/press
06Does Labelbox document API access?
Labelbox offers an SDK to programmatically set up, launch, monitor, and export human data
Learn how to harness the SDK to manage human data labeling jobs for RLHF and model evaluation. With just a few steps, you can set up the SDK, import various types of data, and launch, monitor, and export labeling projects programmatically, all while ensuring data quality and scalability.
Ledger citation[5] labelbox.com/guides
Decision guide
Wearables & devicesCapabilities and operating fit
This profile connects the jobs Labelbox is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.
Common use cases
- Reasoning, tool use, and computer use across autonomous AI research
- Agent coding and cybersecurity applications
- Robotics foundation model data for pre-training, post-training, and evaluation
- Retrieval-Augmented Generation (RAG) optimization with context recall and precision metric
- LLM evaluation using Needle-in-a-Haystack experiments
- Ecommerce chatbot training data for multimodal chat
Topics mapped
Verified capabilities
- RL data engine providing data, environments, and evaluation infrastructure for AI teams
- Scenario generation and grading with expert-built scenarios, synthetic edge cases, and str
- Labelbox provides products and guides covering Build AI, Use AI, Explore & manage data, La
- Labelbox Leaderboards is an innovative, scientific process to rank multimodal AI models th
- AutoQA and advanced labeler reviews for accelerating quality review and creating better da
- Enterprise-grade security designed to support machine learning teams and AI applications
- The company enables breakthroughs (company tagline)
- Model-assisted feedback workflows and collaborative evaluation, where models generate pred
Recorded integrations
Connects enterprise APIs, SaaS tools, databases, and internal systems into production-gradLabelbox supports working with videos using Gemini 1.5 and multimodal models to integrate No-code integrations with BigQuery, CloudSQL, and Google SheetsPython SDK for orchestration automationBigQuery and Google Cloud data movementVertex AI training job connectivity
Intended audiences
Leading AI labs in the U.S. (over 90%) and enterprisesCustomers across Technology and software, Agriculture, Aerospace, Healthcare, Media and enThe world's leading AI labs and enterprises.Partners with over 90% of leading AI labs in the U.S.Enterprise organizations building specialist AI agentsFrontier AI research labs building benchmarks for model evaluation (e.g., Meta SuperintellTeams building generative AI moving from prototype to productionSearch and Recommendation data science teams at Fortune 500 e-commerce enterprises
Access signals
- Pricing model
- A free tier/option is offered ("Start for free" link present on site)
- Engagement
- Contact provider
- Source links
- 16 recorded
Source-backed
Updated July 28, 2026Verified facts
Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.
Labelbox | The RL data engine for AI teams
RL data engine providing data, environments, and evaluation infrastructure for AI teams · Partners with over 90% of leading AI labs in the U.S. and enterprises · Horizon: RL environments and preference signals tuned for post-training and evals
RL data engine providing data, environments, and evaluation infrastructure for AI teams
Leading AI labs in the U.S. (over 90%) and enterprises
Horizon – RL environments and preference signals for post-training and evaluations
Terra – full stack data products for robotics foundation models
Alignerr – real-world grounding signal sourced from 2.6M+ knowledge experts
View 32 more verified facts
Reasoning, tool use, computer use, autonomous AI research, scientific knowledge work, agent coding, and cybersecurity
Robotics foundation model data across pre-training, post-training, and evaluation
Close the loop with RL training on evaluation reward signals and deploy production-ready agents that continuously capture edge cases
Connects enterprise APIs, SaaS tools, databases, and internal systems into production-grade simulation environments
Scenario generation and grading with expert-built scenarios, synthetic edge cases, and structured rubrics for outcome and process evaluation
Enterprise specialist agents operate at a fraction of frontier AI token costs
Labelbox provides products and guides covering Build AI, Use AI, Explore & manage data, Label data for AI, Train & fine-tune AI, and MLOps.
Labelbox Leaderboards is an innovative, scientific process to rank multimodal AI models that goes beyond conventional benchmarks.
Labelbox offers an SDK to programmatically set up, launch, monitor, and export human data labeling projects for RLHF and model evaluation.
Evaluating leading text-to-speech models using both human preference ratings and automated evaluation techniques.
Optimizing Retrieval-Augmented Generation (RAG) applications by focusing on metrics like context recall and precision.
LLM evaluation using a "Needle-in-a-Haystack" experiment for pre-labeling tasks.
Evaluating leading text-to-video models using human preference ratings, as well as challenges with automated evaluation techniques.
Evaluating leading text-to-image models using both human preference ratings and automated evaluation techniques.
AutoQA and advanced labeler reviews for accelerating quality review and creating better data for generative AI use cases.
Collecting training data for an ecommerce chatbot that responds to customer queries about online shopping using multimodal chat.
Labelbox supports working with videos using Gemini 1.5 and multimodal models to integrate text, images, and video data.
All labeled data, metadata and private user information are encrypted at rest using AES-256
Google Cloud (GCP) is used for cloud storage, with server-side encryption using GCP's default encryption keys
Data is decrypted using KMS-based protections when read by authorized users
Auth0 is used for authentication
Data in transit between customers and Labelbox servers is encrypted with TLSv1.2+
Internal network data transmission is restricted to protected channels such as HTTPS and SSH via port restrictions
Customers can choose to host assets themselves on their own cloud platform using signed URLs or delegated access
Access is administered under least privilege and need-to-know bases, with environment access logged for monitoring
Compliance program includes SOC 2
Compliance program includes ISO 27001
GDPR is referenced as part of the privacy and security program
Enterprise-grade security designed to support machine learning teams and AI applications
Labelbox, Inc.
Recursion - RL platform for enterprise specialist agents
The company enables breakthroughs (company tagline)
Practical capabilities
8 documented areasWhat it helps with
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
Reasoning, tool use, and computer use across autonomous AI research
Agent coding and cybersecurity applications
Robotics foundation model data for pre-training, post-training, and evaluation
Retrieval-Augmented Generation (RAG) optimization with context recall and precision metric
LLM evaluation using Needle-in-a-Haystack experiments
Ecommerce chatbot training data for multimodal chat
Building production-grade simulation environments from enterprise APIs and SaaS tools
Reasoning, tool use, computer use, autonomous AI research, scientific knowledge work, agen
Availability
Source checkedWhere it runs and where to get it
Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.
Cost / license
A free tier/option is offered ("Start for free" link present on site)
Application types
Reinforcement learning platform for enterprise specialist agentsAI benchmark / evaluation dataset productionAI training data labeling platform supporting video annotation workflows
Origin
Labelbox acquired Upcraft
Platforms
Horizon – RL environments and preference signals for post-training and evaluationsTerra – full stack data products for robotics foundation modelsAlignerr – real-world grounding signal sourced from 2.6M+ knowledge expertsGoogle Cloud (GCP) is used for cloud storage, with server-side encryption using GCP's defaRecursion: the RL platform for enterprise specialist agents.RecursionRecursion - the RL platform for enterprise specialist agentsGoogle Cloud Marketplace
Adoption notes
DeploymentClose the loop with RL training on evaluation reward signals and deploy production-ready a · Customers can choose to host assets themselves on their own cloud platform using signed UR · Remote-first · Evaluation infrastructure built into Google Cloud Vertex AI
LicenseNot disclosed by source
Model supportRecursion - RL platform for enterprise specialist agents · Recursion — an RL platform for enterprise specialist agents. · Qwen3.5-35B (open-source, tuned via Recursion)
Data controlAll labeled data, metadata and private user information are encrypted at rest using AES-25 · Data is decrypted using KMS-based protections when read by authorized users · Auth0 is used for authentication · Data in transit between customers and Labelbox servers is encrypted with TLSv1.2+ · Internal network data transmission is restricted to protected channels such as HTTPS and S
Learning curveIntermediate
Primary use casesReasoning, tool use, and computer use across autonomous AI research, Agent coding and cybersecurity applications, Robotics foundation model data for pre-training, post-training, and evaluation, Retrieval-Augmented Generation (RAG) optimization with context recall and precision metric, LLM evaluation using Needle-in-a-Haystack experiments, Ecommerce chatbot training data for multimodal chat, Building production-grade simulation environments from enterprise APIs and SaaS tools, Reasoning, tool use, computer use, autonomous AI research, scientific knowledge work, agen, Robotics foundation model data across pre-training, post-training, and evaluation, Evaluating leading text-to-speech models using both human preference ratings and automated, Optimizing Retrieval-Augmented Generation (RAG) applications by focusing on metrics like c, LLM evaluation using a "Needle-in-a-Haystack" experiment for pre-labeling tasks., Evaluating leading text-to-video models using human preference ratings, as well as challen, Evaluating leading text-to-image models using both human preference ratings and automated, Collecting training data for an ecommerce chatbot that responds to customer queries about, Evaluating frontier AI reasoning (used by Meta to build GIM).
What to verify before adopting
- Enterprise specialist agents operate at a fraction of frontier AI token costs
- Expert-authored benchmark items are labor-intensive, averaging about 11 person-hours per p
Evolution and major updates
2 dated updatesLabelbox timeline
A concise history of launches, product changes and company milestones. Events appear only when a dated source supports what changed.
Latest first · exact dates
Showing the newest updates and meaningful milestones. Open an entry for its summary and source.
Labelbox introduces Recursion, an RL platform for enterprise specialist agents
Open detailsLabelbox announced Recursion, a unified platform for developing, evaluating, and deploying specialist AI models through reinforcement learning on real enterprise workflows, framed as shifting the competitive differentiator from access to intelligence toward the ability to continu
View source [2]Labelbox introduced Recursion, an RL platform for enterprise specialist agents
Open detailsLabelbox announced Recursion, a unified platform for developing, evaluating, and deploying specialist AI models through reinforcement learning on enterprise workflows, with the goal of outperforming general LLMs on specific tasks at lower token cost.
View source [2]
Citation ledger
16 unique pagesRecorded sources
Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
- 1labelbox.com 16 facts · 4 answers · Official site
- 2labelbox.com/blog/introducing-recursion-enterprise-agent-rl-platform 12 facts · 1 answer · 2 milestones · Official site
- 3labelbox.com/company/about 12 facts · 2 answers · Official site
- 4labelbox.com/customers 12 facts · 2 answers · Official site
- 5labelbox.com/guides 11 facts · 3 answers · Official site
- 6labelbox.com/company/security 12 facts · 1 answer · Security
- 7labelbox.com/customers/meta-gim-customer-story 12 facts · 1 answer · Official site
- 8labelbox.com/customers/google-cloud-llm-evaluation 8 facts · Official site
- 9labelbox.com/blog 6 facts · Official site
- 10labelbox.com/company/press 4 facts · 2 answers · Official site
- 11labelbox.com/blog/implicit-intelligence-and-agent-as-a-world-evaluating-agents-on-what-users-dont-say Official site
- 12labelbox.com/blog/introducing-echochain-an-audio-benchmark-for-reasoning-under-pressure-in-full-duplex-dialogue Official site
- 13labelbox.com/blog/the-ai-safety-illusion-why-current-safety-datasets-fool-us-on-model-safety Official site
- 14labelbox.com/company/careers Official site
- 15labelbox.com/customers/ecommerce-shopping-customer-story Official site
- 16labelbox.com/customers/intuitive-surgical-customer-story Official site
Research status120 substantive facts · 16 source pages · quality score 95/100