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Data-foundation platform unifying product, customer, and order data via 2,600+ integrations to power AI agents for e-commerce ops.
No-code builder for custom ChatGPT-style website chatbots trained on your data for support, lead gen and engagement.
End-to-end computer vision platform for teams annotating data, training YOLO models, and deploying them at scale.
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.
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No public pricing
- ✦2,600+ native integrations
- ✦Two-way data synchronization
- ✦Unified single-source-of-truth database
- ✦Ready-to-deploy AI agents (PIM, pricing, enrichment)
- ✦Sits under automation tools (Make, Zapier, n8n)
- ✦Enterprise security (ISO 27001, SOC 2, GDPR)
- ✦No-code chatbot creation
- ✦Train on files/URLs/Notion/Zendesk
- ✦Website embed widget
- ✦Conversation analytics
- ✦~95 language support
- ✦Custom branding
- ✦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
- ✦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
- →Centralizing and cleaning product catalog data
- →Automating product enrichment and pricing
- →Syncing data across suppliers and channels
- →Powering AI agents on unified business data
- →Website customer support
- →Lead generation
- →FAQ and audience engagement
- →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
- →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