Labelbox.com is a software company in the artificial intelligence and data annotation industry that provides a platform for labeling, managing, and improving training data used by machine learning engineers, data scientists, product teams, and enterprise AI groups. The site is well-known within the AI and data science communities and has growing recognition among technology organizations while remaining relatively niche to the general public, with estimated daily visits in the hundreds.
Score assigned based on the strength of the domain online
Estimated monthly organic traffic from search engines
Total number of links from other websites pointing to this domain
The site's traffic has grown by 14% year-over-year with over 12,549 monthly visits driven primarily by demand for advanced data-labeling and annotation solutions across computer vision and language-model workflows, including tools for video and image annotation, dataset preparation, model alignment, and embedding-driven search. Geographically the audience is concentrated in Asia‑Pacific (led by India at 53.8%), followed by North America (United States plus Canada at 34.4%) and Europe (combined ~5.5%), a split that underscores strong developer and enterprise adoption in India and the US while signaling growth opportunities in European markets for enterprise-grade data-labeling services.

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The domain labelbox.com was registered on May 15, 2003, through cloudflare, inc. and uses Cloudflare for DNS and security. At 22 years old, this long-standing registration often signals established credibility, mature online presence, and accumulated authority, which can contribute to stronger domain trust signals, improved SEO performance, and a proven track record that benefits visibility and backlink value.
Labelbox's backlink profile shows a mix of authority levels: while the domain metrics include a DA 70+ signal for the site overall, the top referring links in the sample are predominantly medium-authority (e.g., DA 50-69 GitHub) and several lower-authority sources (Forbes/Medium entries at DA 22-28), with notable sources including developer resources (GitHub) and technology publications/industry leaders (Forbes, Medium). This diverse set of links, combined with nearly 3,000 referring domains and a large total backlink count, contributes positively to Labelbox’s organic visibility and provides a moderate SEO strength boost despite a modest Trust Score, because breadth of referring domains supports topical relevance and indexation.
The sample top-links show a dofollow-to-nofollow distribution of approximately 20:80 (dofollow:nofollow), indicating a predominance of nofollow links in the visible set; dofollow links from high-authority sources typically pass the most link equity, but there are relatively few such links in this sample so direct authority transfer is limited. Anchor text is skewed toward branded and naked URL forms—approximately 30% branded, 50% naked URLs, 20% keyword-rich—which is generally natural and safe for Labelbox’s profile, though increasing relevant keyword-rich dofollow placements from higher-DA sources would strengthen targeted rankings.
Top Ranking Keywords
The domain labelbox.com presents a concentrated keyword portfolio focused on data labeling, product functionality, careers and account access, with consistent first-position rankings that reflect both technical product intent and organizational/recruitment visibility. The top keyword 'labelbox data annotation' attracts daily searches in the dozens with a $3.3 CPC, indicating strong commercial value. The other keywords — labelbox internship (880, 0% competition), audio annotation tool labelbox audio labeling faq (390, 0%), labelbox careers (260, 3%) and labelbox login (210, 0%) — all rank #1 and exhibit very low competition, revealing a niche B2B/product-market focus with employer-brand signals and minimal paid bidding pressure. Overall the domain exhibits strong organic visibility and a healthy keyword portfolio with defensible, high-value SERP positions.
labelbox.com is built on a modern technology stack that uses frontend frameworks like React, legacy utilities like jQuery, UI components from Bootstrap.js, and the React framework Next.js to enable component-driven development, improved runtime performance and server-side rendering for optimal SEO and a better developer experience. On the backend and deployment side the site runs across cloud providers including Amazon AWS EC2 and Google Cloud Compute Engine with edge and delivery optimization via Cloudflare, and leverages Vercel for serverless hosting and fast deployments, combining reliability, scalability, and global distribution through CDNs, autoscaling instances and serverless functions.
TLS and identity protections are provided by LetsEncrypt certificates and HSTS to enforce HTTPS, with centralized identity via Okta and bot mitigation through reCAPTCHA, all working alongside Cloudflare for DNS management, DDoS protection and fast load times across geographic regions. The site also integrates analytics and tooling such as Google Analytics, Segment, Hotjar, and Mixpanel to instrument user behavior, monitor performance and inform UX decisions, complementing the modern JavaScript stack to improve observability and the development workflow.
labelbox.com competes in the data labeling and annotation platform space against established players like SuperAnnotate, CVAT, Label Studio and newer alternatives such as Alignerr and Labelbox's open-source peers like Label Studio (and other specialized entrants). Compared to more established players it occupies a mid-to-high traffic position (12,549 organic visits versus competitors ranging from ~3.5k to ~17.5k), showing solid market presence with particular strength in enterprise workflows and SDK/integration support that has enabled growth into pragmatic production ML pipelines rather than purely research-focused users.
The site has a Domain Authority score of 39 which, within the data labeling and annotation industry, is essentially on par with the competitive set (all listed rivals report the same DA), indicating comparable backlink profiles and domain strength. Labelbox targets technical ML teams and enterprises with developer-friendly SDKs, integrations, and annotation workflow features, which has driven organic visibility and market penetration through product-led adoption and strong word-of-mouth among practitioners.
Everything you need to know about labelbox.com.
What is labelbox.com's primary business model?
Labelbox operates as a B2B software-as-a-service (SaaS) company that sells a cloud-based training data platform to organizations building machine learning models. It generates revenue through subscription and usage-based pricing for its labeling tools, dataset management, model-assisted labeling features, and enterprise support services. The platform is targeted at data science and engineering teams in enterprises that need scalable annotation, governance, and MLOps integrations.
Is labelbox.com considered a market leader, a challenger, or a niche player?
Market leader. Labelbox is widely recognized among commercial training-data platforms and is one of the more prominent, venture-backed vendors addressing enterprise labeling, data management, and model-in-the-loop workflows. Its breadth of features, customer base, and strategic partnerships place it ahead of many niche open-source tools while competing with other commercial solutions.
What makes labelbox.com unique compared to its competitors?
Labelbox differentiates itself through an end-to-end training data platform that combines annotation tools, dataset management, active learning/model-assisted labeling, and governance into a single offering tailored for enterprise workflows. It emphasizes integrations with common MLOps stacks, SDKs and APIs for automation, and collaboration features for annotation teams, which together aim to reduce labeling cost and speed up model development. Its focus on enterprise security, workflow customization, and analytics also distinguishes it from simpler or purely open-source annotation tools.
What are the most recent major updates or strategic shifts seen on labelbox.com?
In recent years Labelbox has emphasized expanding enterprise-grade capabilities, model-in-the-loop automation, and integrations with MLOps toolchains to support production ML workflows. The company has continued to enhance model-assisted labeling, active learning, data governance and collaboration features while broadening cloud and API integrations to fit into customers' engineering pipelines. If specific product releases are not cited, the overall strategic trend is clear: move beyond pure annotation toward a comprehensive training-data platform that accelerates and hardens ML deployment for enterprises.