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B2B technology platform connecting churches, nonprofits and faith organizations with values-aligned AI tools and outreach.
No-code builder for custom ChatGPT-style website chatbots trained on your data for support, lead gen and engagement.
Open-source React/Angular SDK and platform for embedding agentic, generative-UI copilots into apps, Slack and Teams.
Free tool that auto-generates conversational, browsable documentation for any public GitHub repo, from the makers of Devin.
Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.
No public pricing
Free trial available
No public pricing
No public pricing
- ✦Ministry and engagement tools for churches
- ✦Enterprise reach and outreach solutions
- ✦Values-aligned AI models for developers
- ✦Connected ecosystem of 450,000+ organizations
- ✦No-code chatbot creation
- ✦Train on files/URLs/Notion/Zendesk
- ✦Website embed widget
- ✦Conversation analytics
- ✦~95 language support
- ✦Custom branding
- ✦React and Angular frontend SDKs
- ✦Agent-rendered generative UI
- ✦AG-UI agent-user interaction protocol
- ✦Connectors for LangChain and other frameworks
- ✦Pre-built customizable chat/sidebar components
- ✦Slack and Teams integrations
- ✦Thread and state persistence
- ✦AI-generated documentation for GitHub repos
- ✦Conversational Q&A about a codebase
- ✦Browsable index of popular repositories
- ✦Deep code indexing via Devin
- ✦Chat with your documents (RAG)
- ✦Runs locally and offline for privacy
- ✦Supports any LLM (local or cloud)
- ✦Built-in AI agents
- ✦Handles PDFs, Word, CSV, codebases
- ✦No-code setup
- →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
- →Website customer support
- →Lead generation
- →FAQ and audience engagement
- →Adding an AI assistant to a SaaS product
- →Building agents that render interactive UI
- →Deploying copilots across Slack and Teams
- →Connecting existing agents to a frontend
- →Understanding an unfamiliar codebase quickly
- →Onboarding to open-source projects
- →Answering questions about repo internals
- →Privately querying your own documents
- →Running local AI without the cloud
- →Building AI agents over your data
- →Using multiple LLM providers in one app