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Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.
No-code builder for custom ChatGPT-style website chatbots trained on your data for support, lead gen and engagement.
Infrastructure company building large-scale GPU data centers and compute for AI, including Anthropic's compute buildout.
Creative AI infrastructure giving studios access to 500+ image, video, 3D, and audio models plus custom brand-trained models.
Free trial available
No public pricing
No public pricing
No public pricing
- ✦Persistent, structured memory built as a knowledge graph
- ✦Sub-300ms hybrid retrieval (RAG) with reranking
- ✦Native filesystem mount for agent memory access
- ✦Connectors to Slack, Notion, Drive, Gmail, GitHub, S3
- ✦Automatic extraction from PDFs, images, and audio
- ✦User profile and behavior tracking across sessions
- ✦No-code chatbot creation
- ✦Train on files/URLs/Notion/Zendesk
- ✦Website embed widget
- ✦Conversation analytics
- ✦~95 language support
- ✦Custom branding
- ✦Large-scale GPU and data-center infrastructure for AI
- ✦Power acquisition and data-center design/build
- ✦Fast deployment (gigawatts in ~6 months)
- ✦Operates both hardware and software stack
- ✦Unlimited chatbots deployment
- ✦Automatic retraining on webpages
- ✦Customizable appearance and personality
- ✦One-click deployment to multiple platforms
- ✦User Management
- ✦Custom APIs
- ✦Custom LoRA model training from 5-100 reference images
- ✦Access to 500+ models across 50+ providers
- ✦Visual workflow builder for multi-step generation pipelines
- ✦API-first and MCP-ready for agent integration
- ✦Batch generation at scale with reusable templates
- ✦One-click shareable apps built from workflows
- ✦SOC 2 Type II compliance and SSO
- →Developers adding long-term memory to AI agents
- →Teams building agents that need to sync with existing tools
- →Individuals wanting one memory layer shared across multiple AI assistants
- →Website customer support
- →Lead generation
- →FAQ and audience engagement
- →Training and running large AI models at scale
- →Provisioning GPU compute for AI labs
- →Building dedicated AI data-center capacity
- →Customer service chatbots
- →Help desk chatbots
- →HR chatbots
- →Training chatbots
- →Consulting chatbots
- →White labeled chatbot for web apps
- →Generating on-brand creative assets at scale
- →Building custom AI-powered creative workflows and apps
- →Comparing outputs across many AI models in one workspace
- →Automating batch content production for teams