Labelbox
- Company typePrivate
- Founded2018
- HeadquartersSan Francisco, United States
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
Labelbox firmographics
Firmographics- Name
- Labelbox
- Legal name
- Labelbox, Inc.
- Website
- https://labelbox.com
- Company type
- Private
- Founded year
- 2018
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Ownership category
- akta.pro rank
Labelbox industry classification
Industry- Product category
- AI Training Data Platform
- NAICS
- Custom Computer Programming Services (541511), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518), Information (51)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- RLHF, Human Feedback & Evaluation Data Tools (HDAAALAJ)
- akta.pro secondary industries
- Data Labeling & Annotation Services (HDAAALAB), Annotation Tooling & Workflow Management (HDAAALAC), Domain-Specific Training Data Solutions (e.g., medical, AV, geospatial) (HDAAALAL), Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB)
Keywords
Where Labelbox is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Labelbox business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Operations, Marketing or Sales, Infrastructure
Revenue model
- SaaS Platform Subscription: Labelbox operates as a SaaS platform with paid services. The Terms of Service indicate certain services may be free while others are subject to payments. Recurring billing is available with monthly subscription options. The platform uses Stripe as payment processor.
- Enterprise RL Platform (Recursion): Recursion platform for enterprise specialist agents provides data integration, scenario generation, RL training, and continuous improvement for production AI systems.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free tier available for basic access |
Go-to-market motion1 record
Distribution channels3 records
Marketing channels5 records
Labelbox product offering
Product offeringCore offering
Labelbox provides an AI data factory and reinforcement learning (RL) data engine for AI teams, offering annotation tools, APIs, and expert networks to generate high-quality training data for machine learning models. Its product suite includes Horizon (RL environments and preference signals), Terra (robotics data products), Alignerr (network of 2.6M+ knowledge experts), and Recursion (RL platform for enterprise specialist agents). The platform supports multimodal data annotation across text, image, video, audio, and documents.
Product overview
Labelbox is an AI data factory and RL (reinforcement learning) data engine for AI teams. The company offers a platform-plus-products architecture serving both frontier AI labs and enterprises. For frontier AI, the core offerings include Horizon (RL environments and preference signals), Terra (full stack data for robotics foundation models), and Alignerr (expert network of 2.6M+ knowledge experts). For enterprises, Recursion is the RL platform for building, evaluating, and deploying specialist AI agents on real enterprise workflows. Additional products include Labelbox Applied Research (with Labelbox Evals, Labelbox Agents, and Labelbox Robotics), various leaderboards and benchmarks (Deep Research, Complex Reasoning, EchoChain, R-ConstraintBench), and research frameworks (Implicit Intelligence, Agent-as-a-World, Intent Laundering). The platform supports multimodal data processing across text, images, video, audio, and documents, with Python SDK and MCP support for automation.
Differentiator
Problem solved
Functional benefit
Brands
- Horizon: RL environments and preference signals tuned for post training and evals, spanning reasoning, tool use, and computer use across autonomous AI research, scientific knowledge work, agent coding, and cybersecurity.
- Terra
- Alignerr
- Recursion
Products and services
- Horizon RL environments and preference signals tuned for post training and evaluations, spanning reasoning, tool use, and computer use across autonomous AI research, scientific knowledge work, agent coding, and cybersecurity. Designed for frontier AI labs building advanced models.
- Terra Full stack data products for robotics foundation models, providing video, trajectories, and rich multimodal annotations collected with purpose-built hardware and AI-powered diversity engines, spanning pre-training, post-training, and evaluation.
- Alignerr Expert network providing real-world grounding signal from 2.6M+ knowledge experts who evaluate, train, and improve advanced AI models. Domain experts channel human endeavor into the reward signals frontier AI needs to be useful.
- Recursion The RL platform for enterprise specialist models that work in production. Three-step process: data integration connecting enterprise APIs/SaaS/databases/internal systems into production-grade simulation environments, scenario generation and grading with expert-built scenarios and rubrics, and RL training with continuous improvement from edge cases.
- Labelbox Evaluation Studio Private, real-time platform where top AI teams unlock tailored insights, instantly spot strengths and weaknesses of model performance, and accelerate frontier model improvements.
- Labelbox Python SDK Python SDK for automating data setup and workflows including importing data, creating datasets, and managing projects programmatically via API.
Quantifiable outcome
- Meta released GIM-615 benchmark with 820 expert-authored problems remaining far from saturated with ~20% of items above frontier ability
- +1 more outcomes
Companies that use Labelbox
Customer profileNamed customers4 records
Segments3 records
Ideal customer profiles3 records
Labelbox technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration3 records
AI capability11 records
Feature12 records
Labelbox partnerships and signals
Strategic signalPartnerships
Six partnerships are on record, tiered core.
- MetacoreMeta partnered with Labelbox to build GIM (Grounded Integration Measure) for evaluating frontier AI reasoning. Labelbox produced 820 expert-authored problems across seven cognitive categories including 229 multimodal items, enabling calibration of item parameters over 200,000+ prompt-response pairs.
- Google CloudcorePartnership to provide human preference signal for evaluating LLMs inside Vertex AI. Labelbox integrates with Google Cloud's AI infrastructure to deliver evaluation capabilities.
- Intuitive SurgicalcoreLabelbox enables tracking surgical instruments in video to advance robotic surgery capabilities. Collaboration supports development of AI-powered surgical systems.
- Amazon Web Services (AWS)coreAWS provides application AI inference infrastructure. Labelbox supports IAM delegated access to AWS S3 for importing customer data. CORS configuration and signed URL capabilities for secure data handling.
- Google Cloud PlatformcoreGoogle Cloud Platform provides cloud storage infrastructure. Labelbox supports IAM delegated access to Google Cloud Storage with dedicated service account integration.
- Microsoft AzurecoreAzure Blob Storage integration with Labelbox for customer data import. CORS configuration support for Azure storage accounts.
Scale indicators7 records
Recent moves6 records
Expansion highlights6 records
Labelbox competitors and assessment
Company assessmentDirect peers
- Surge AI: Direct competitor focused on expert-labeled data and RLHF for frontier AI models. Competes with Labelbox's Alignerr network for high-quality human preference and reasoning data among AI labs.
- Scale AI: Closest direct competitor in AI training data and RL data infrastructure. Scale reportedly holds ~35% of the dedicated AI data labeling market and serves frontier AI labs and government/defense customers with overlapping annotation and evaluation offerings.
- Appen: Public-listed data annotation company serving enterprise ML teams with global crowd-sourced labeling. Competes with Labelbox on traditional data labeling, though with a heavier services model and less RL/evaluation focus.
- CloudFactory: Managed data labeling workforce provider serving enterprise ML teams. Competes with Labelbox on human-in-the-loop annotation services at scale.
- Snorkel AI: Data-centric AI platform combining programmatic labeling and weak supervision. Competes with Labelbox's annotation tooling for enterprise ML teams building training datasets.
- TELUS International (Lionbridge AI): Large-scale AI data solutions business offering annotation, evaluation, and localization services. Competes with Labelbox in enterprise data labeling and evaluation.
Emerging players
- SuperAnnotate: End-to-end annotation platform with strong multimodal and generative-AI tooling. Competes with Labelbox's annotation suite for enterprise and AI lab customers.
- Weights & Biases: ML experiment tracking and model evaluation platform with overlapping enterprise ML tooling. Adjacent competitor as ML teams consolidate tooling around evaluation, datasets, and training workflows.
- Encord: Data-centric AI platform focused on annotation, curation, and evaluation for multimodal AI. Overlaps with Labelbox on annotation tooling for images, video, and audio.
Broad incumbents
- Amazon SageMaker Ground Truth: Hyperscaler annotation service bundled into the AWS ML platform. Competes indirectly with Labelbox for enterprise ML workloads and benefits from AWS-native customers.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
Labelbox social profiles
Digital presenceLabelbox compliance and trust
Trust signalCompliance5 records
Labelbox financial estimates
Financial estimateRevenue estimate
Valuation estimate
Labelbox leadership team
Management profileNumber of profiles
Profiles6 records
Labelbox subsidiaries and ownership
Company hierarchySubsidiaries1 record
Labelbox funding detail
Funding detailFunding overview
Funding rounds5 records
Investors11 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Labelbox M&A and investment
M&A and investmentM&A1 record
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Labelbox
What does Labelbox do?
Labelbox provides an AI data factory and reinforcement learning (RL) data engine for AI teams, offering annotation tools, APIs, and expert networks to generate high-quality training data for machine learning models. Its product suite includes Horizon (RL environments and preference signals), Terra (robotics data products), Alignerr (network of 2.6M+ knowledge experts), and Recursion (RL platform for enterprise specialist agents). The platform supports multimodal data annotation across text, image, video, audio, and documents.
Is Labelbox a public or private company?
Labelbox is a private company. It is classified as venture growth investor backed and is currently operating.
When was Labelbox founded?
Labelbox was founded in 2018. It employs 101 to 250 people.
Where is Labelbox based?
Labelbox is headquartered in San Francisco, United States, in the North America region.
How does Labelbox make money?
Two revenue lines are on record. SaaS Platform Subscription is the primary driver. The others are enterprise RL Platform (Recursion).
Who are Labelbox's main competitors?
Direct peers on record are Surge AI, Scale AI, Appen, CloudFactory, Snorkel AI and TELUS International (Lionbridge AI). Emerging players are SuperAnnotate, Weights & Biases and Encord. Amazon SageMaker Ground Truth is listed as a broad incumbent.
Does Labelbox have an API?
Yes. Labelbox provides a Python SDK to help automate data setup and workflows. The SDK supports importing data, creating datasets, and managing projects programmatically. The API is documented at https://labelbox-python.readthedocs.io/en/latest/. MCP (Model Context Protocol) support is available, enabling human-in-the-loop evaluation by making it easy to inspect, label, and correct agentic-tool interactions. Developer documentation is at labelbox-python.readthedocs.io/en/latest.
What industry is Labelbox in?
Labelbox's product category is AI Training Data Platform. Its primary akta.pro industry code is HDAAALAJ, RLHF, Human Feedback & Evaluation Data Tools, with a secondary code of HDAAALAB, Data Labeling & Annotation Services. Its NAICS code is 541511 and its SIC code is 7372.