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Wafer-scale AI hardware and inference cloud delivering record-fast, low-latency inference for open and frontier models.
High-performance open-source vector database for production AI retrieval and RAG, for teams needing scale, hybrid search, or self-hosting.
Infrastructure company building large-scale GPU data centers and compute for AI, including Anthropic's compute buildout.
No-code builder for custom ChatGPT-style website chatbots trained on your data for support, lead gen and engagement.
AI-moderated research platform for deep customer insights.
No public pricing
No public pricing
Free trial available
No public pricing
- ✦Wafer-Scale Engine AI processor
- ✦High-speed inference API (OpenAI-compatible)
- ✦Cloud, on-prem and on-device deployment
- ✦Support for GLM, Qwen, Llama, GPT-OSS and more
- ✦Fine-tuning and training on one platform
- ✦Partner access via AWS, OpenRouter, HuggingFace, Vercel
- ✦Hybrid dense and sparse vector search (BM25, SPLADE, miniCOIL)
- ✦Advanced metadata filtering applied during search traversal
- ✦Multivector support for multimodal retrieval
- ✦Reranking with score boosting and late-interaction models (ColBERT, MMR)
- ✦Flexible deployment: cloud, hybrid, private, or edge
- ✦Rust-based engine optimized for low-latency, high-scale search
- ✦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
- ✦No-code chatbot creation
- ✦Train on files/URLs/Notion/Zendesk
- ✦Website embed widget
- ✦Conversation analytics
- ✦~95 language support
- ✦Custom branding
- ✦AI-moderated interviews
- ✦AI synthesis and highlight reels
- ✦Customizable AI interviewer persona
- ✦Multimodal research (video, voice, text)
- ✦Flexible participant recruitment
- ✦Advanced unmoderated testing
- →Low-latency inference for agents and copilots
- →Real-time voice and reasoning apps
- →Fine-tuning and serving custom models
- →Building retrieval-augmented generation (RAG) pipelines
- →Powering AI recommendation and semantic search systems
- →Enterprises needing on-prem or hybrid deployment for compliance
- →AI agent platforms needing fast contextual retrieval at scale
- →Training and running large AI models at scale
- →Provisioning GPU compute for AI labs
- →Building dedicated AI data-center capacity
- →Website customer support
- →Lead generation
- →FAQ and audience engagement
- →Market strategy
- →Segmentation & Personas
- →Brand Research
- →Innovation & Concept Testing
- →User Experience & Usability
- →Creative Testing