Companies Labelbox

Labelbox

115 Total Employees

Year Founded: 2017

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Labelbox Company Stability & Growth

Updated on October 14, 2025

This page was generated by Built In using publicly available information and AI-based analysis of common questions about the company. It has not been reviewed or approved by the company.

What's the stability & growth outlook for Labelbox?

Strengths in capital backing, ecosystem partnerships, and rapid product evolution position the company to capture growth in frontier AI workflows. At the same time, mixed leadership placement in external assessments and inconsistent headcount signals highlight ongoing competitive pressures and scale clarity needs.

Positive Themes About Labelbox

Strategic Partnerships: Partnerships with Google Cloud for LLM human evaluation and marketplace availability broaden distribution and strengthen go-to-market reach. Collaborations within the AI ecosystem reinforce integration and customer accessibility.
Investor Backing & Capital Strength: A substantial Series D led by SoftBank Vision Fund II and a unicorn valuation indicate strong financial support. This capital base enables continued product development and expansion efforts.
Innovation-Driven Growth: Ongoing releases for LLM evaluation, RLHF-style workflows, and multimodal capabilities show active platform evolution aligned with frontier AI needs. Integrated software plus expert services and labeling operations expand into higher-value use cases.

Considerations About Labelbox

Workforce Instability: Conflicting employee counts across sources, including a noted decline over one period, create ambiguity about headcount trajectory. Variance in reported staffing levels suggests uneven growth signaling.
Weak Market Position & Pricing Challenges: An analyst assessment (Everest Group PEAK Matrix 2024) did not list the company among top Leaders, and some comparisons rank rivals as category leaders. This underscores a competitive landscape where leadership status varies by methodology and segment.

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The insights on this page are generated by submitting structured prompts to some of the most popular large language models (“LLMs”) and summarizing recurring themes from the responses. Because the insights are generated using AI, they may contain errors. The insights do not necessarily reflect internal data, employee interviews, or verified company information. They may be influenced by incomplete, outdated, or inaccurate data, and may vary across LLM providers. These insights are intended for informational purposes only and should not be interpreted as a factual or definitive assessment of a company's reputation. Built In makes no representations or warranties regarding the accuracy, completeness, or reliability of this information, and disclaims any liability for any actions taken based on this information. If you are a representative of this company, and would like this page to be removed, you may contact us via this form.

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