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End-to-end computer vision platform for teams annotating data, training YOLO models, and deploying them at scale.
AI 'vibe coding' platform (formerly DhiWise, now Rocket.new) that turns a text prompt into full-stack web and mobile apps.
AI chatbot builder that trains a support agent on your website content in minutes to deflect tickets and capture leads with cited answers.
Open-source testing platform where AI agents drive your app end-to-end to catch regressions on every PR, no test code needed.
AI app builder that turns words into real coded mobile apps, sites and tools, with GPT-5 and 40+ integrations for makers.
No public pricing
- ✦Smart data annotation with SAM-powered one-click masks across six task types
- ✦Cloud training with 22+ GPU configurations from RTX 2000 Ada to B200
- ✦Support for YOLOv5 through YOLO26 model families
- ✦One-click deployment across 43 global regions with auto-scaling
- ✦Export to 18 formats including ONNX, TensorRT, and CoreML
- ✦Live training metrics and experiment comparison dashboard
- ✦Prompt-to-app full-stack generation
- ✦Auto-generated backend, database and auth
- ✦Choice of frameworks; you own the code
- ✦One-click deploy (Netlify, GitHub sync, custom domain)
- ✦Templates to reduce token use
- ✦Mobile app generation
- ✦Fast setup trained directly on website content
- ✦Answers cited back to source content
- ✦Inbound lead capture with automated follow-up
- ✦Integrations with existing support/marketing stack
- ✦Self-improving responses over time
- ✦AI agents navigate your app in real browsers
- ✦One-command setup that maps flows and drafts tests
- ✦SDK to seed and tear down real data
- ✦Runs on every PR against preview deploys
- ✦No test code required
- ✦Open-source with a self-hosted option
- ✦Integrates with GitHub, Vercel and Linear
- ✦Natural-language to coded apps
- ✦Mobile, web and tool generation
- ✦GPT-5 and 40+ integrations
- ✦Database, web search and image generation
- ✦Automated testing and error logs
- ✦Custom domains and code export
- →Building and training custom object detection or segmentation models
- →Labeling large image/video datasets for computer vision projects
- →Deploying vision models to edge or mobile devices
- →Running quality control or defect detection in manufacturing
- →Powering retail, logistics, or agriculture vision applications
- →Building full-stack apps from a prompt
- →Prototyping and launching MVPs quickly
- →Generating landing pages and websites
- →Creating mobile apps without coding
- →SaaS companies deflecting repetitive support questions
- →Marketing teams capturing and qualifying leads via chat
- →Support teams wanting AI answers backed by verifiable sources
- →Catching regressions before merging PRs
- →End-to-end testing without writing scripts
- →QA for fast-shipping product teams
- →Self-hosted testing on your own infrastructure
- →Building apps without writing code
- →Prototyping products quickly
- →Adding AI and integrations to apps
- →Publishing apps to custom domains or the App Store