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Pay-per-use cloud API to run, fine-tune, and deploy thousands of open-source and proprietary AI models with one line of code.
AI prototyping tool that generates UI matching your design system, letting product teams test features fast.
Low-code integration platform for connecting thousands of APIs into workflows and AI agents, including an MCP tool server.
Headless CMS and page builder where marketing teams and AI agents assemble on-brand landing pages from reusable, developer-built sections.
Free trial available
No public pricing
No public pricing
No public pricing
Free trial available
- ✦One-line API calls to run community and proprietary AI models
- ✦Support for image, video, speech, and LLM generation models
- ✦Fine-tuning and custom model deployment via Cog
- ✦Per-second usage billing on shared or dedicated hardware
- ✦Automatic scaling for high-traffic private models
- ✦Thousands of community-published models with production APIs
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦AI UI generation from prompts
- ✦Match existing styling and design systems
- ✦Rapid, high-fidelity prototyping
- ✦Live team editing and sharing
- ✦Enterprise security and compliance
- ✦Visual and code-based workflow builder
- ✦Prebuilt AI agent builder and deployment
- ✦Managed authentication across thousands of apps
- ✦MCP server exposing integrations as agent tools
- ✦Scheduled and event-triggered workflows
- ✦Connect SDK for embedding integrations into other products
- ✦Visual page builder for assembling pre-built sections
- ✦Slice Machine developer tooling for reusable components
- ✦AI-assisted page and copy generation
- ✦AI translation across locales
- ✦ChatGPT/Claude integration for bulk content edits
- ✦API-driven content delivery via CDN
- →Developers embedding image/video/speech generation into an app via API
- →Teams deploying and scaling their own fine-tuned models
- →Builders comparing outputs from multiple AI models in one playground
- →Companies avoiding GPU infrastructure management for ML inference
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Prototype new product features
- →Test designs with customers
- →Build design-system-consistent mockups
- →Building AI agents that call external APIs and tools
- →Automating cross-app workflows such as Slack, Gmail, or Sheets notifications
- →Embedding third-party integrations into a SaaS product
- →Prototyping event-driven automations without heavy infrastructure
- →Marketing teams launching SEO or ABM landing pages quickly
- →Developers building a component library for non-technical editors
- →Multilingual sites needing synced translations
- →Agencies managing many client sites on one CMS