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Velvet
Platform to monitor and evaluate AI models in production. Analyze performance, log requests, and optimize functions integrated into real-world applications.
General Information about Velvet
Velvet is a specialized solution for evaluating and monitoring large language models (LLMs) in production environments. Now integrated into the Arize ecosystem, this platform provides engineering and MLOps teams with the tools needed to measure the real-world performance of their AI features, enabling comprehensive control over the accuracy, latency, and error rates of every deployment in live applications.
Velvet works by acting as a data gateway that captures every request sent to AI models. By integrating between the application and the model provider, the tool maintains a detailed record of all requests and responses in a centralized database. This technical architecture facilitates the storage and analysis of AI logs, allowing developers to debug intelligent functions and optimize model behavior based on real-world data rather than just lab tests.
Key capabilities include continuous experimentation and metric monitoring. Users can run comparative performance tests, evaluate different prompt configurations, and measure response sentiment or quality using numerical metrics. This functionality is essential for teams looking to fine-tune their generative models both before and after deployment, ensuring that results align with product and business objectives.
For AI infrastructure professionals, Velvet offers a robust framework centered on observability. Its request logging features allow users to:
- Analyze accuracy metrics and technical performance in real-time to detect anomalies.
- Monitor model latency to ensure optimal response times across mobile and desktop devices.
- Compare performance across different language model versions and providers.
- Evaluate the economic impact and cost optimization of AI features integrated into enterprise software.
This platform is particularly useful for software engineers and machine learning specialists who require full visibility into how their applications interact with language models. By centralizing evaluation and monitoring, Velvet simplifies the management of scalable and reliable AI solutions. Its technical approach helps mitigate operational risks and improves MLOps workflow efficiency, establishing itself as a key component for optimizing generative models in complex professional environments.
Features and Use Cases of Velvet
How Velvet Works
Frequently Asked Questions about Velvet
What exactly is Velvet?
Velvet is a platform designed for developers and engineers to evaluate, monitor, and optimize AI features within their commercial applications.
What kind of metrics can be analyzed using Velvet?
The tool allows you to measure accuracy, latency, and language model errors, while also tracking sentiment and prompt performance.
What is the current pricing for Velvet's services?
There is currently no detailed public pricing available. Following its acquisition by Arize, costs are determined through custom quotes based on usage volume and specific team needs.
How does Velvet help with logging AI requests?
It acts as a gateway that captures and stores every request made to language models, which greatly simplifies debugging and the optimization of captured data.
Is it possible to run experiments with different models on Velvet?
Yes, the platform allows you to run performance tests and compare different model configurations to determine which one delivers the best results in a live production environment.
What type of professionals is the Velvet platform designed for?
It is primarily geared toward AI engineering teams, MLOps specialists, and developers who need to manage the quality and cost of AI features integrated into their products.
What happened to Velvet after it was acquired by Arize in 2025?
Velvet has been fully integrated into Arize's infrastructure and is now part of a broader enterprise-level solution for monitoring, evaluating, and improving generative models.
Velvet Pricing
Following Arize's acquisition of Velvet, detailed public pricing and standardized plans are not currently available on their website. For current pricing information, please visit the official Arize website.
Custom Plan (via Arize):
- Integrated access within the Arize enterprise platform.
- Analysis and evaluation of Large Language Models (LLMs) in production.
- Continuous monitoring of accuracy, latency, and error metrics.
- Request logging (gateway) to capture and debug AI requests.
- Purpose-built infrastructure for ML and MLOps teams.
- Custom pricing based on data volume, platform usage, and enterprise support requirements.
Velvet Screenshots
