Hive

Content moderation platform.
General Information
Founders:
Dmitriy Karpman, Kevin Guo
Founded Date:
2013-01-01
Linkedin:
Total Funding Amount:
$120,700,000
Headquarters Region:
San Francisco Bay Area, West Coast, Western US
Domain Rating:
63
Organic Traffic:
4964
Last Equity Funding Amount:
$50,000,000
Last Equity Funding Date:
2021-04-21
Last Equity Funding Type:
Series D

Overview

Hive AI is a powerful platform that specializes in providing AI-based solutions for content moderation, visual search, and data labeling. Designed for businesses across industries such as media, e-commerce, and advertising, Hive AI automates the analysis of images, videos, and text to ensure compliance, enhance user experiences, and streamline workflows. With a focus on scalability and accuracy, Hive AI empowers organizations to handle vast amounts of data efficiently while maintaining high-quality standards.

Key Features

  1. Content Moderation: Automatically detects and flags inappropriate or harmful content in images, videos, and text, ensuring platform safety and compliance.
  2. Visual Search and Recognition: Enables advanced object detection, facial recognition, and scene analysis for media and e-commerce applications.
  3. Custom Data Labeling: Provides tailored data labeling services for training AI models, using a combination of AI and human annotation.
  4. Scalable Solutions: Handles high-volume data processing, making it ideal for enterprises managing extensive content libraries.
  5. Real-Time Insights: Delivers fast and accurate analytics, enabling businesses to make data-driven decisions quickly.

Pros

  • Automates complex tasks like content moderation and visual search, saving time and resources.
  • Enhances platform safety and compliance with robust AI-powered content analysis.
  • Offers customizable data labeling for AI model training, improving accuracy and relevance.
  • Scales efficiently to handle large datasets, meeting the demands of enterprise-level operations.
  • Supports diverse industries, including media, advertising, and e-commerce.

Cons

  • Advanced customization may require additional resources or technical expertise.
  • Initial integration into existing systems may take time depending on specific use cases.

bg

Get Exclusive Content
Straight to Your Inbox

Subscribe to our [A] Growth Newsletter

More AI tools like this