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B2B technology platform connecting churches, nonprofits and faith organizations with values-aligned AI tools and outreach.
AI knowledge base that saves, summarizes and connects articles, videos, podcasts and PDFs into a graph you can chat with.
Developer API suite (Reader, Embeddings, Reranker) that turns web content into LLM-ready data for search and RAG.
Infrastructure company building large-scale GPU data centers and compute for AI, including Anthropic's compute buildout.
AI text detector and humanizer that scores AI-written content and rewrites it in one click to read naturally.
No public pricing
No public pricing
No public pricing
Free trial available
- ✦Ministry and engagement tools for churches
- ✦Enterprise reach and outreach solutions
- ✦Values-aligned AI models for developers
- ✦Connected ecosystem of 450,000+ organizations
- ✦One-click saving of articles, videos, podcasts, PDFs
- ✦AI summaries of saved content
- ✦Automatic tagging and knowledge-graph linking
- ✦Chat with your knowledge using GPT, Claude or Gemini
- ✦Spaced-repetition quizzes
- ✦Browser extension, web and mobile apps; API/MCP access
- ✦Reader API converts URLs to Markdown
- ✦Multimodal multilingual embedding models
- ✦Reranker for stronger search relevance
- ✦Web search endpoint returning SERP data
- ✦MCP server for use inside LLMs
- ✦Native inference inside Elasticsearch
- ✦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
- ✦AI probability scoring with sentence-level highlighting
- ✦One-click humanization/rewrite of flagged text
- ✦Detection across multiple major AI models
- ✦Saved history of checks and rewrites
- ✦Free unlimited detection with limited humanization words
- →Help churches connect with and serve their people
- →Give nonprofits broader missional reach
- →Build faith-aligned apps on values-based AI
- →Link organizations across the faith ecosystem
- →Building a personal 'second brain'
- →Summarizing long content to save time
- →Chatting with your own saved knowledge
- →Retaining what you read via spaced repetition
- →Ground LLMs with clean web content
- →Build semantic and RAG search
- →Rerank retrieved results
- →Give AI agents live web access
- →Training and running large AI models at scale
- →Provisioning GPU compute for AI labs
- →Building dedicated AI data-center capacity
- →Students checking AI-assisted drafts before submission
- →Writers and bloggers removing robotic AI phrasing before publishing
- →Professionals sending AI-drafted emails or copy that read naturally