Velvet

Velvet is an AI-first data pipeline for warehousing and optimizing LLM requests and data.
August 14, 2024
Web App, Other
Velvet Website

About Velvet

Velvet is an AI gateway for engineers, offering a powerful platform to log requests and optimize AI features. With just two lines of code, it allows seamless integration with OpenAI and Anthropic APIs, providing users the ability to analyze data, conduct experiments, and fine-tune their AI models for maximum efficiency.

Velvet offers a free tier for up to 10k monthly requests, making it easy to get started. As users scale, premium plans unlock additional features, such as advanced caching, batch processing, and fine-tuning capabilities. The pricing is designed to offer great value for growing engineering teams looking to leverage AI effectively.

Velvet features a user-friendly interface, designed for seamless navigation and interaction. Its layout simplifies onboarding and allows engineers to log requests, optimize features, and manage experiments effortlessly. The intuitive design prioritizes user experience, ensuring that even complex AI integrations are easy to handle with Velvet.

How Velvet works

Users start by creating an account on Velvet and setting their base URL to the Velvet gateway. With just two lines of code, they can begin logging requests to their PostgreSQL database. The platform provides tools to analyze data, evaluate usage, and optimize AI models through experiments, enhancing decision-making and ensuring cost-efficiency.

Key Features for Velvet

Seamless Logging

Velvet’s seamless logging feature allows engineers to effortlessly warehouse every request to their PostgreSQL database. This crucial capability enables users to evaluate, analyze, and optimize AI features effectively, providing a comprehensive view of their application's performance and usage patterns for informed decision-making.

Advanced Optimization

Velvet offers advanced optimization capabilities, including intelligent caching and batching, to reduce costs and latency. Users can optimize their AI workflows and enhance performance, ensuring that resources are utilized efficiently. This feature empowers teams to focus on innovation while keeping operational costs low.

Experimentation Framework

The experimentation framework in Velvet allows users to run comprehensive tests on their AI models. By selecting custom datasets, engineers can conduct one-off or continuous experiments, thus enabling fine-tuning and evaluation of their AI features. This flexibility is essential for achieving optimal performance and results.

You may also like:

OpenRead Website

OpenRead

OpenRead uses AI technology to enhance research experiences by providing paper search and insights.
Hive AI Website

Hive AI

Hive AI offers advanced APIs for developers to integrate AI models for content understanding.
Tokee Website

Tokee

Tokee helps YouTube creators generate engaging thumbnails, titles, and analytics for viral success.
Sequens.ai Website

Sequens.ai

Sequens.ai provides AI-generated marketing content reviewed by experts to enhance B2B strategies.

Featured