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Hive

NativePrivateUpdated November 3, 2026

Multimodal content-moderation/AI API platform

Website
thehive.ai
CEO
Kevin Guo
Founded
2013
HQ
San Francisco, United States
Total Funding
$261M
Employees
201-500
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Security & Trust
54.8Bluescore
Momentum—
Market MapLocked
Rank change (7d)8

Products & Offerings

Hive Content Moderation APIs (Visual, Text, Audio)

Pretrained classifiers that flag nudity, violence, hate, drugs, bullying, spam and other policy violations across images, video, livestreams, text in about 30 languages, and audio.

APIEnterpriseFlagship

AI-Generated Content and Deepfake Detection

Models that detect AI-generated or manipulated images, video, audio and text and identify the likely source generator, used by platforms and in a Department of Defense prototype.

APIEnterpriseHigh Growth

CSAM Detection

Child sexual abuse material detection that combines hash matching with classifiers, and in text moderation uses Internet Watch Foundation keyword and URL lists.

APIEnterpriseLive2024

Moderation Dashboard

No-code interface for setting moderation rules, routing flagged content for human review and managing enforcement actions on top of Hive's models.

PlatformEnterpriseLive

Hive Vision Language Model and Content Understanding APIs

Multimodal models for captioning, visual question answering, logo and object detection, and contextual understanding, used in brand protection and ad targeting.

ModelDeveloperEmerging

Executive Summary

What they do

  • Pretrained AI models that moderate visual, text and audio content via API
  • Detects AI-generated images, video, audio and text, including deepfakes
  • CSAM detection, a moderation dashboard and content-understanding models such as logo detection

Why it matters

  • Chosen for a $2.4M Defense Innovation Unit deepfake-detection prototype contract
  • Models trained on very large proprietary datasets from its own labeling workforce
  • Usage-based APIs let platforms add moderation without building in-house models

Best fit

  • Social, dating, gaming and video platforms with large volumes of user content
  • Trust and safety teams needing image, video, text and audio coverage from one vendor
  • Media, government and fraud teams that need to detect synthetic media and deepfakes

Watch-outs

  • Last disclosed priced round was the 2021 Series D at $2B
  • AI-content detection accuracy drops as new generative models appear
  • Many similarly named companies make diligence and reference checks harder

Latest News

CelebrityAccess · 10 days ago

Positive

https://tech-insider.org/ · 1 month ago

Neutral

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Analyst VerdictShortlist

Hive is one of the most established API vendors for multimodal content moderation and AI-generated content detection, and its Defense Department deepfake work adds credibility. Platforms with large volumes of user-generated content should include it in any moderation or synthetic-media detection RFP. Benchmark it on your own content and policy categories, and confirm data handling, human-review options and pricing at your volumes.

Signal Provenance

Latest observation date and source for each signal category

Signal CategoryLast UpdatedSource
Funding Signals
Last funding round, Funding stage
Oct 31, 2026Montclare research agents
Hiring Velocity
Headcount, Headcount growth
Nov 3, 2026Montclare research agents
Technical Output
Research papers, GitHub activity
Oct 30, 2026Montclare research agents
News Sentiment
News mentions, News sentiment
Nov 3, 2026Montclare research agents
Partnership Signals
Enterprise partnerships, Distribution partners
Oct 28, 2026Montclare research agents
Revenue Indicators
ARR estimate, Revenue growth
Nov 3, 2026Montclare research agents
Leadership Signals
CEO tenure, Founder-led
Nov 3, 2026Montclare research agents
Competitive Position
Category rank, Market share
Nov 3, 2026Montclare research agents

Why this Bluescore?

6 dimensions, each scored 0–10 against all — companies. Each adds its weight × score to the Bluescore — see methodology

D1 · Business Model & Revenue (21%)
4.6
+9.7 of 21 pts · 61th pct
D2 · Product Depth (21%)
8.0
+16.8 of 21 pts · Top 7%
D3 · Data & Model Moat (19%)
4.5
+8.6 of 19 pts · 63th pct
D4 · Talent & Research (16%)
5.2
+8.3 of 16 pts · 65th pct
D5 · Customer Adoption (13%)
5.3
+6.9 of 13 pts · 35th pct
D6 · Investment Momentum (10%)
4.3
+4.3 of 10 pts · 42th pct

Risks

Deepfake and AI-content detectors need constant retraining as generative models change
High
Accuracy outside core languages and niche policy categories needs testing on your own data
Medium
No new priced funding round disclosed since the 2021 $85M Series D
Medium
Employee reviews criticize culture and treatment of the annotation workforce, a possible reputational issue
Low
Large rivals and in-house cloud moderation tools are squeezing pricing for moderation APIs
Medium
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