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B2B technology platform connecting churches, nonprofits and faith organizations with values-aligned AI tools and outreach.
Open-source node-based engine for visual AI, giving pros granular control to build image, video, and 3D generation workflows.
Free tool that auto-generates conversational, browsable documentation for any public GitHub repo, from the makers of Devin.
On-demand cloud GPU marketplace offering low-cost hourly H100, A100, and RTX rentals for AI training, inference, and rendering.
An AI-powered learning platform that turns sources into concept maps, flashcards, quizzes and summaries with multi-model chat.
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
- ✦Node-based workflow canvas
- ✦Simplified App Mode view
- ✦Community workflow templates and hub
- ✦Comfy Desktop (local) and Comfy Cloud
- ✦Comfy API for production endpoints
- ✦60,000+ nodes and many models
- ✦AI-generated documentation for GitHub repos
- ✦Conversational Q&A about a codebase
- ✦Browsable index of popular repositories
- ✦Deep code indexing via Devin
- ✦On-demand GPU VMs with no quotas or commitments
- ✦45+ GPU models available, from RTX 4090 to H100 SXM
- ✦KVM virtualization with root/OS-level access
- ✦Managed container hosting with autoscaling
- ✦CPU cloud for HPC and transcoding workloads
- ✦Vetted host network with a 99.99% uptime standard
- ✦Concept map builder
- ✦Flashcards with spaced repetition
- ✦AI quiz and summary generation
- ✦Import from PDFs, YouTube, websites, PubMed and arXiv
- ✦Multi-model AI chat (GPT, Claude, Gemini, Qwen)
- ✦Cross-format conversion and sharing
- →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 custom image/video/3D pipelines
- →VFX, advertising, gaming, and ecommerce content
- →Running workflows on cloud GPUs
- →Deploying workflows as production APIs
- →Understanding an unfamiliar codebase quickly
- →Onboarding to open-source projects
- →Answering questions about repo internals
- →ML engineers training or serving models on H100/A100 clusters
- →Developers renting cheap RTX GPUs for rendering or cloud gaming
- →Teams needing burst GPU capacity without long-term contracts
- →Companies scaling to thousands of GPUs via the host marketplace
- →Visualizing and studying complex topics
- →Turning research sources into study materials
- →Literature review and dissertation prep