Startup profile for Labelbox: latest funding, latest known valuation, total disclosed funding, investors, status, sources, and why the company is interesting. Part of the Venture Capital Tracker startup directory.

Startup profile · funding coverage

Labelbox funding, valuation and investors

Reinforcement-learning environments, evaluations and managed enterprise agents.

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Funding, valuation & investors

Answer-first snapshot

Latest funding

Series C

$40M · February 2021

Latest known valuation

$1.25B pre-money

Series E equity plus credit facility; split undisclosed · October 14, 2026

Total disclosed equity funding

$65M

Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.

Current status

private

growth · San Francisco, California

Latest tracked event: Series E equity plus credit facility; split undisclosed (October 14, 2026). It is shown separately because it is not counted as disclosed equity funding.

Overview

Labelbox builds Horizon environments for frontier-model training and Recursion Managed Agents for enterprise workflows. On October 14, 2026 it announced more than $100M in Series E equity and a credit facility at a $1.25B pre-money valuation; the split was not disclosed.

Why Labelbox is interesting

Labelbox sits under every supervised ML stack — data quality remains the bottleneck even in the LLM era where human feedback loops matter as much as pre-training data.

Product & use cases

Horizon supplies simulated work and evaluation infrastructure for AI labs. Recursion runs and grades enterprise workflows. Improvement and performance statements are company claims.

  • Computer vision dataset labeling for autonomous systems
  • LLM fine-tuning and RLHF human feedback collection
  • Model evaluation and error analysis on labeled datasets
  • Active learning pipelines to prioritize labeling spend

Key facts

  • Series C (Feb 2021): $40M led by B Capital — Labelbox press
  • Series B (Feb 2020): $25M led by a16z — Labelbox press
  • Training data platform for ML and LLM fine-tuning

Funding history (newest first)

Series E equity plus credit facility; split undisclosed

2026-10-14 > $100M combined financing, not pure equity Valuation: $1.25B pre-money

Source: Read source · labelbox.com

Investors in our directory

Funds linked from Labelbox's profile — open a fund page for stage focus and related deal articles.

Competitive landscape

Edge: Enterprise-grade labeling ops with model-assisted acceleration — reduces cost per label vs. pure manual annotation.

Data labeling commoditized at the low end but remains critical for high-quality ML. Labelbox competes with Scale AI's scale and vertical integration. LLM era shifted demand toward RLHF and evaluation, not just image boxes.

  • Scale AI direct

    Dominant data labeling vendor with government and enterprise contracts.

  • Snorkel AI adjacent

    Programmatic labeling vs. human annotation focus.

  • SuperAnnotate direct

    Computer vision labeling platform.

  • Hive / Appen adjacent

    Crowd labeling services.

Notable stories

  • Labelbox raised Series B and C in consecutive Februarys (2020, 2021) — riding the computer vision labeling wave before pivoting tooling toward LLM RLHF.

Industries

Market / IPO context

Editorial / static context — not a live quote.

Related funding articles

Venture Capital Tracker pieces that cover Labelbox's financing or category context.

FAQs about Labelbox

Practical answers founders, operators, and investors typically search for.

Training data platform for labeling, curating, and evaluating datasets for ML and LLM fine-tuning.
a16z (/fund/andreessen-horowitz) led Series B; B Capital (/fund/b-capital-group) led Series C; First Round (/fund/first-round) and Kleiner (/fund/kleiner-perkins) participated.
Both data labeling platforms; Scale AI larger with more government/enterprise scale.
The latest announcement is more than $100M of combined Series E equity and a credit facility. The split is undisclosed; this is not a cumulative-equity total.
Yes — RLHF and text annotation workflows for fine-tuning.
Manu Sharma and Brian Rieger.
February 2021 — $40M.
Yes — uses models to pre-label and accelerate human annotation.
Labelbox said on October 14, 2026 that it reached profitability in 2026; it did not publish audited statements or define the measure.
Fortune 500 ML teams — specific logos on labelbox.com.

By Venture Capital Tracker

Last updated:

Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.