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End-to-end computer vision platform for teams annotating data, training YOLO models, and deploying them at scale.
Enterprise platform for building and deploying customized AI agent teams across sales, support, marketing, and HR workflows.
No-code builder for custom ChatGPT-style website chatbots trained on your data for support, lead gen and engagement.
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.
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- ✦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
- ✦Custom AI agent builder for specific tasks
- ✦Support for multiple LLMs (GPT, Gemini, Claude, etc.)
- ✦Agent evaluation and performance tracking
- ✦2,000+ integrations
- ✦Embedded deployment and training program
- ✦SSO, role-based access, and audit logs for enterprise governance
- ✦No-code chatbot creation
- ✦Train on files/URLs/Notion/Zendesk
- ✦Website embed widget
- ✦Conversation analytics
- ✦~95 language support
- ✦Custom branding
- ✦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
- →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
- →Automating sales prospecting, CRM enrichment, and meeting prep
- →Automating post-call follow-ups and pipeline forecasting
- →Building customer support and HR task agents
- →Scaling an internal AI workforce across departments
- →Website customer support
- →Lead generation
- →FAQ and audience engagement
- →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