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Enterprise data-annotation and evaluation platform pairing a labeling tool with a managed expert annotator workforce.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
AI tool for engineering teams that automates code review, status updates, and answers questions about what's changing in code.
AI prototyping tool that generates UI matching your design system, letting product teams test features fast.
AI design engineer that designs UIs on a canvas and ships production frontend code in your own stack.
No public pricing
No public pricing
No public pricing
No public pricing
- ✦Customizable multimodal annotation editors for image, video, text and audio
- ✦Support for RLHF preference data, SFT datasets, RAG and agent evaluation workflows
- ✦Managed expert annotator workforce option
- ✦Data curation, exploration and analytics tools
- ✦Team and project management with SSO on higher tiers
- ✦Integrations with AWS, GCP, Databricks, Snowflake and others
- ✦Signals-based fine-grained reactivity
- ✦Built-in control flow and deferrable views
- ✦Server-side rendering and hydration
- ✦First-party routing, forms and dependency injection
- ✦AI-forward tooling and MCP resources
- ✦In-browser tutorials and playground
- ✦AI code review
- ✦Automatic engineering status updates
- ✦Agent that answers questions and takes action
- ✦Metrics on coding time and project focus
- ✦Pushed vs landed tracking
- ✦Commit and contributor insights
- ✦AI UI generation from prompts
- ✦Match existing styling and design systems
- ✦Rapid, high-fidelity prototyping
- ✦Live team editing and sharing
- ✦Enterprise security and compliance
- ✦Design UIs on an infinite canvas
- ✦Production frontend code in your stack (400+ libraries)
- ✦Reuses your components, tokens, and hooks
- ✦In-browser editing with DevTools context
- ✦Design and code stay synced in your repo
- ✦Asset and animation generation
- →Building large-scale labeled datasets to train computer vision or NLP models
- →Running human evaluation and RLHF pipelines for LLM fine-tuning
- →Auditing and scoring AI agent decisions with human review
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Automating code reviews
- →Keeping stakeholders updated on engineering progress
- →Understanding what's changing in a codebase
- →Tracking team productivity metrics
- →Prototype new product features
- →Test designs with customers
- →Build design-system-consistent mockups
- →Turning designs into production frontend code
- →Building landing pages and product UIs
- →Refining UI directly in the browser
- →Keeping design and code in sync