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VS Code extension letting developers chat with their own custom OpenAI assistants without leaving the editor.
Enterprise data-annotation and evaluation platform pairing a labeling tool with a managed expert annotator workforce.
Converts screenshots, PDFs, and slides into editable Figma, PowerPoint, or Canva designs and turns Figma layouts into code.
AI prototyping tool that generates UI matching your design system, letting product teams test features fast.
AI Text2SQL database client that generates and fixes SQL from natural language across 30+ databases, with dashboards.
No public pricing
No public pricing
No public pricing
No public pricing
No public pricing
Free trial available
- ✦in-editor chat with OpenAI assistants
- ✦workspace source-code context sharing
- ✦support for custom, user-defined assistants
- ✦secure management of the user's OpenAI account
- ✦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
- ✦Screenshot-to-editable-design conversion
- ✦NoteSlide: PDF and image slides to editable PowerPoint or Keynote
- ✦Figma-to-code generation
- ✦Image-to-vector/SVG and PSD/web-to-Figma import
- ✦Visual Struct API for developers
- ✦Codia AI Vision layout and typography reconstruction
- ✦AI UI generation from prompts
- ✦Match existing styling and design systems
- ✦Rapid, high-fidelity prototyping
- ✦Live team editing and sharing
- ✦Enterprise security and compliance
- ✦AI Text2SQL query generation
- ✦One-click SQL error fixing
- ✦GUI database management and ER diagrams
- ✦AI data analysis and dashboards
- ✦Support for 30+ databases
- ✦Local data processing for privacy
- →getting coding help without switching out of VS Code
- →using a personalized OpenAI assistant tuned to a project
- →quick in-editor Q&A while writing code
- →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
- →Rebuild UI screenshots into editable Figma layers
- →Turn NotebookLM PDFs into editable decks
- →Convert images and posters into reusable design assets
- →Move designs between Figma and Canva
- →Extract layout structure via API
- →Prototype new product features
- →Test designs with customers
- →Build design-system-consistent mockups
- →Write SQL from plain language
- →Manage multiple databases in one client
- →Generate BI dashboards from data
- →Migrate and sync schemas/data