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AI creation studio that gathers scattered notes and ideas, then helps shape them into articles, slides, videos, or webpages.
Pay-as-you-go API aggregating thousands of image, video, audio and LLM models with custom inference hardware for lower per-request cost.
Fast, developer-friendly open-source search engine and AI retrieval platform offering full-text, semantic, and hybrid search.
Open-source testing platform where AI agents drive your app end-to-end to catch regressions on every PR, no test code needed.
AI chatbot builder that trains a support agent on your website content in minutes to deflect tickets and capture leads with cited answers.
No public pricing
Free trial available
Free trial available
No public pricing
- ✦Central capture space for saved articles, videos, and notes
- ✦AI prompts that surface connections and gaps in collected ideas
- ✦Generates articles, slide decks, videos, and webpages from source material
- ✦Prebuilt style templates for slides and pages
- ✦Available as desktop app, browser extension, and mobile app
- ✦Skill and prompt library for specific creation tasks
- ✦Single API for image, video, audio, 3D and LLM models
- ✦Standardized model addressing across hosted, partner and custom uploads
- ✦Support for LoRAs, ControlNets, VAEs and embeddings on open-source models
- ✦WebSocket and REST access with async webhook delivery
- ✦Pay-per-request billing with no infrastructure to manage
- ✦Raw serverless GPU/CPU compute for custom workloads
- ✦Sub-50ms search-as-you-type
- ✦Full-text, semantic, and hybrid search
- ✦Vector storage for RAG and similarity queries
- ✦Multimodal and federated search
- ✦Filtering, faceting, sorting, and geosearch
- ✦Managed cloud or self-hosted open source
- ✦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
- ✦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
- →Creators consolidating research into finished blog posts or scripts
- →Professionals turning meeting notes into structured reports
- →Teachers converting lesson ideas into slides and video lessons
- →Product managers organizing scattered feedback into insights
- →Adding AI image or video generation to an app without managing infra
- →Batching multi-modal generation tasks in one API call
- →Running custom fine-tuned models via Model Upload
- →Cutting inference costs at high generation volume
- →Adding fast site or app search
- →Building AI/RAG retrieval pipelines
- →E-commerce and media search experiences
- →Semantic search over private data
- →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
- →SaaS companies deflecting repetitive support questions
- →Marketing teams capturing and qualifying leads via chat
- →Support teams wanting AI answers backed by verifiable sources