Velvet is an AI-powered tool designed to help engineers manage their AI applications. It comes with a large database that stores all your activities, and you can easily access your data with it. You can even track the performance of the AI with data SQL. Moreover, it is also a quick, and cost-effective solution for testing different AI models to find the best one.
Not only this, but with it you can even monitor the existing AI models as well. It also comes with log queryable requests, granular analysis, and intelligent caching for overpowering repeated requests. So, go and create datasets for fine-tuning, and batch workflows.
Performance Score
B+
Assistant Quality
High-quality assistance
Interface
User-friendly Interface
AI Technology
Natural Language Processing (NLP), Machine Learning Algorithms, Data Engineering
Purpose of Tool
Helps engineers track, optimize, and monitor AI models with SQL testing. Also creates large datasets for storing all activities.
Compatibility
Web-based Platform, Cross-platform Support
Pricing
Free trial + Paid plan starts from $195 a month
Who is Using Velvet?
- AI Engineers: This tool is designed for AI engineers for building, optimizing, and deploying AI models. It track performance, run tests, and monitor AI models easily.
- Data Scientists: As, this tool will create large datasets for storing all your activities, and give SQL testing as well. Data scientists also take advantage from it.
- Developers:Software developers can easily add it�s custom code to their systems for data logging and performance tracking of AI applications.
Data Interoperability
Log Queryable Requests
Granular Analysis
Intelligent Caching
Run Experiments
Continuous Monitoring
Dataset Generation
User-Friendly
Is Velvet Free?
It comes up with both free and paid plan. However, it have main two paid plans.
Free Plan
- Log data warehousing
- Up to 10k requests/month
- Run experiments
- Hosted database
- 30-day data retention
Start Up Plan Costs $195/month
- Everything in Project, plus:
- Up to 1m requests/month
- Continuous testing SDK
- Store logs in your database
- Custom data configuration
Growth Plan, and Custom Plan
- Everything in Startup, plus:
- Unlimited requests
- Custom features & integrations
- Managed infrastructure for scale
- Premium support + compliance
- For it�s pricing, you need to contact them directly
Pros & Cons
Best for capturing all the activities in datasets.
You can analyze your data with SQL testing, for cost calculations, & monitoring.
It keeps an eye on your AI model for continuous monitoring.
Also, allows you to run experiments, and test different AI models easily.
Maybe an overwhelming tool for beginners.
Its functionality will depend upon custom code.
Also, requires ongoing maintenance as well.
