Velvet
Create audiovisual training datasets and expressive models for interactive AI conversations
Pricing model
Paid
Rating
★ People love it
Time to value
Requires Expertise
You can use Velvet to develop interactive conversational AI models with lower latency and human-like spatial reasoning. The service works with AI laboratories and enterprise teams to collect, curate, and prepare specialized multimodal datasets, including text, image, and video samples. You can submit dataset samples via cloud storage links, request custom research partnerships, and access specialized data contributors. It also provides an invite-only workflow for contributors to upload audiovisual data samples and receive earnings directly through Stripe or Wise. It accelerates natural model interactions.
What Velvet does
Pricing breakdown
Pricing model: Paid
Tutorials & Demos
Frequently asked
Want a tailored answer?
See whether Velvet fits your stack.
Techbible weighs Velvet against what you already pay for, your team shape, and the work that's actually happening. Free to start.
Side by side
Compare Velvet
Search the catalog or pick a similar tool to compare pricing, features, and fit.
Or pick from similar tools
More in AI Orchestration & MLOps
All tools →CrewAI
Build and run autonomous multi-agent workflows using visual canvases or Python code
Arize AI
Monitor, trace, and evaluate large language model applications
PySpur
Build, test, and deploy AI agent workflows using code or visual drag-and-drop interfaces
Twelve Labs
Enables developers to build applications that understand video.
AgentOps
Track, debug, and monitor AI agents and large language model interactions
Composio
Connect AI models and agents to external apps and developer tools
Weights & Biases
Helps AI developers track and manage machine learning experiments.
Buster
Build internal agents and automate complex company workflows