Labelbox
Labelbox is the data factory for AI teams, providing software and services for reinforcement learning data, custom evaluations, and multimodal annotations to innovators defining the next frontier of AI. and.
- 4.6
- Average rating
- 10
- Mapped reviews
- 100%
- Profile coverage
Company & commercials
- Primary category
- Computer Vision
- Team size
- 101-250 employees
- Typical budget
- $100K+
- Primary industry
- Automotive & Mobility
A clear view of what Labelbox does best.
Structured from supplied company information and mapped to RankGlobal's controlled AI and industry taxonomy.
Labelbox is the data factory for AI teams, providing software and services for reinforcement learning data, custom evaluations, and multimodal annotations to innovators defining the next frontier of AI. and. RankGlobal maps its primary capability to Medical Image Analysis within Computer Vision, with supporting relevance to 3D Computer Vision, Computer Vision. Its strongest supplied industry signals align with Automotive Manufacturing, General Retail, HealthTech Platforms.
See how this profile was mapped →Platforms, methods and technical signals
Tools and platforms named in Labelbox's supplied company profile.
Named expertise on file
- Evals Platform
Providing a centralized suite to benchmark and improve the accuracy and safety of LLMs and generative AI.
LLM EvaluationModel TuningAlignment - Alignerr Expert Network
Connecting firms with specialized subject-matter experts to provide high-quality RLHF and data alignment.
RLHFExpert NetworkHuman Feedback - Robotics Data Suite
Delivering high-precision labeling and management tools specifically for 3D LiDAR and spatial robotics data.
Robotics AILiDAR3D Labeling
Mapped Evidence Report
A decision-support view of Labelbox, built from mapped taxonomy signals, evidence confidence, commercial profile and reviews.
Computer Vision among 494 published providers
Imported mapping confidence for each category — not a share of work, revenue, or delivery volume.
Share of mapped industry rows on the taxonomy map — not share of work or revenue.
Imported mapping grades across 12 taxonomy mappings — not a search ranking.
What the mapped signals say
Labelbox presents as a strong evidence profile for Computer Vision. It ranks in the 56th percentile of 494 published providers in Computer Vision, and 10 reviews back the commercial profile.
Evidence-led AI expertise.
Capabilities are listed with their mapping grade (Direct, Supported, Related, or Adjacent).
industries
Source category: Computer Vision
Source category: Computer Vision
Source category: MLOps & Infrastructure
Source category: Computer Vision
Source category: MLOps & Infrastructure
Where this expertise is most relevant.
Industry mappings are organized by evidence strength so buyers can distinguish demonstrated alignment from broader search relevance.
What clients say.
Reviews and ratings published for this provider.
“The most professional labeling UI. It fits into our CI/CD pipeline like a glove.”
“Our radiologists love the interface. It's clean and doesn't distract from the medical imagery.”
“Model-assisted labeling cut our costs by 50%. The foundation model integrations are key.”
“Can be slow with massive 100k+ datasets, but the metadata management is unmatched.”
“Easy to track labeler quality and rate of progress. Keeps our stakeholders confident.”
“Enterprise pricing is steep, but it’s the most secure platform for Fortune 500 needs.”
“Reliable performance and SOC2 compliance. We trust them with our most sensitive client data.”
“The dedicated support for enterprise plans is fantastic. They resolve issues within hours.”
“Helping us bridge the gap with AI-driven data curation at scale. A brilliant partner.”
10 published quotes on this profile.
Showing 9 of 10, ranked by display order then recency.
Ratings aggregate 10 reviews at the average shown above.
How RankGlobal maps this profile.
RankGlobal maps this profile against a controlled taxonomy. Mapping grades on capability and industry cards describe how the profile is classified. Source strength for ranking decisions follows the hierarchy published on Research— a mapping grade is not a claim of discoverability weight.
Direct, Supported, Related and Adjacent appear on mapped cards as classification grades. They do not rank how discoverable a provider should be.
RankGlobal trust center →Move from discovery to a focused conversation.
Your enquiry goes to the RankGlobal research team, not the provider's sales inbox. Sending it does not affect their ranking.
What RankGlobal holds on file for Labelbox, and the three things worth confirming directly once you're in touch.
- Primary category
- Computer Vision
- Primary industry
- Automotive & Mobility
- Typical budget
- $100K+
- Team size
- 101-250 employees
- 1Name the use case
Say which Computer Vision problem you are evaluating, so the research team can route your message accurately.
- 2Pressure-test the budget band
The $100K+ band on file is a profile-level figure. Ask what a scope like yours actually lands at.
- 3Ask for a reference
Request a client reference in Automotive & Mobility — the strongest industry signal on this profile.
Three fields. Anything longer belongs on the full contact page, linked below.
Similar profiles
Agix Technologies is an AI systems engineering firm headquartered in Hingham, Massachusetts (99 Derby…
Saritasa delivers best-in-class custom software through strategy, design, development, and scaling…
Osedea is a Canadian innovation firm specializing in custom software, AI, and robotics.