Cloudglue

Cloudglue is a powerful, developer-first platform designed to unlock the potential of video content for AI applications. Backed by Y Combinator, it provides a streamlined solution to convert entire video libraries into structured, queryable, and LLM-ready data. This enables developers to bypass the complex and resource-intensive process of building video data pipelines, allowing them to focus on creating innovative products. Cloudglue's core mission is to make video a first-class citizen in the world of AI, empowering systems with deep, multimodal understanding derived from visual and audio content.

The platform is engineered to handle the heavy lifting of video processing, from ingestion and transcription to advanced multimodal analysis. It transforms unstructured video files into organized data that can be seamlessly integrated into Retrieval-Augmented Generation (RAG) systems, analytical dashboards, and intelligent conversational interfaces. By making video content as easy to work with as text, Cloudglue opens up new possibilities for building smarter, more context-aware AI.

How to use Cloudglue

Using Cloudglue is designed to be straightforward for developers. The process is centered around its robust API:

1. Sign Up & Get API Key: Start by creating a free account on the Cloudglue website to get your API key. No credit card is required to get started.
2. Upload Videos: Use the API to upload your video files. The platform handles various formats and manages the storage and initial processing.
3. Index Your Content: Make a single API call to index your video. You can choose the desired level of analysis. This can range from a simple, fast transcript to a 'Rich Transcript' with speaker diarization, or even full 'Entities Collection Indexing' which extracts people, places, and concepts for deeper understanding.
4. Integrate and Query: Once indexed, the video data is ready. You can either use Cloudglue's managed Q&A endpoint to instantly build a chatbot over your videos or retrieve the structured data and embeddings to manage the RAG process yourself. This flexibility supports both rapid prototyping and full-control production systems.
5. Build Your Application: With the video knowledge now accessible, you can build your application—be it a semantic search engine for a video archive, an analytical tool for sales calls, or a chatbot that answers questions based on a library of product demos.

Core Features of Cloudglue

• Video-to-Structured Data: Automatically converts video and audio into structured formats, including transcripts, speaker labels, and identified entities.
• Managed RAG & Q&A: Offers a simple, one-call API for video question-and-answering, abstracting away the complexity of RAG pipelines.
• High-Speed Indexing: Exceptionally fast processing, capable of transforming 50 minutes of video into LLM-ready data in just 3 minutes.
• Multimodal Analysis: Goes beyond simple transcription to understand the full context of a video, preparing for future visual and audio analysis capabilities.
• Granular Control: Allows developers to select the depth of analysis required for their specific use case and budget, from basic transcripts to rich, entity-aware data.
• Developer-First API: A clean, well-documented API built by developers, for developers, ensuring easy integration and a smooth development experience.
• Scalable and Production-Ready: The infrastructure is robust and designed to scale from small prototypes to large, enterprise-grade applications from day one.

Use Cases for Cloudglue

Cloudglue can be applied across various domains to leverage video data:

• Conversational AI & RAG: Build chatbots that can accurately answer user questions based on a knowledge base of video tutorials, internal training sessions, company town halls, or product demonstrations.
• Video Content Analytics: Run aggregate analysis on large collections of videos, such as customer support calls or user research sessions, to identify recurring themes, sentiment, and key insights.
• Knowledge Graph Creation: Automatically extract and link entities (people, products, organizations) that appear in videos to construct a dynamic knowledge graph, revealing relationships and connections within the content.
• Semantic Video Search: Create powerful search engines that allow users to find specific moments or segments within a vast video library using natural language queries, far surpassing traditional keyword search.

Advantages of Cloudglue

Cloudglue offers significant advantages for developers and businesses:

• Effortless Setup: Drastically reduces the time and engineering effort required to build sophisticated video understanding capabilities.
• Unparalleled Speed: The fast indexing and response times enable the creation of highly responsive, real-time applications.
• Cost-Effective Scalability: The flexible, credit-based pricing and granular controls allow you to optimize costs by choosing the right level of analysis for your needs.
• Enhanced AI Performance: By feeding LLMs with rich, structured data from videos, Cloudglue makes any off-the-shelf model more accurate and contextually aware.
• Future-Proof: Designed to be fully multimodal, ensuring that applications built today can easily incorporate future advancements in visual analysis.

Pricing and Plans

Cloudglue uses a flexible, credit-based pricing model that allows you to start for free and scale as you grow.

• Free Plan: $0/month. Includes 200 Credits, 200 chat completion requests, and allows for up to 25 minutes of video to be indexed. Ideal for testing and small projects.
• Mini Plan: $15 (one-time). Includes 1,000 Credits, 1,000 chat requests, and 2 hours of indexed video.
• Starter Plan: $45 (one-time). Includes 3,000 Credits, 3,000 chat requests, and 6 hours of indexed video.
• Builder Plan: $350 (one-time). Includes 30,000 Credits, 30,000 chat requests, and 63 hours of indexed video.
• Scale Plan: $600 (one-time). Includes 60,000 Credits, 60,000 chat requests, and 125 hours of indexed video.
• Enterprise Plan: Custom pricing. For larger teams needing custom plans, discounts, or subscription models, contact the Cloudglue team directly.

Credit Consumption: Credits are used for API requests. For example, transcribing and indexing video (both standard and rich) costs 4 credits per minute of footage, while a chat completion request costs 1 credit.