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B2B technology platform connecting churches, nonprofits and faith organizations with values-aligned AI tools and outreach.
End-to-end computer vision platform for teams annotating data, training YOLO models, and deploying them at scale.
Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.
Serverless platform for running and fine-tuning image, video, audio and 3D generative models via one fast API.
AI cloud offering model APIs, GPU instances, and serverless GPUs; high traffic.
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
- ✦Smart data annotation with SAM-powered one-click masks across six task types
- ✦Cloud training with 22+ GPU configurations from RTX 2000 Ada to B200
- ✦Support for YOLOv5 through YOLO26 model families
- ✦One-click deployment across 43 global regions with auto-scaling
- ✦Export to 18 formats including ONNX, TensorRT, and CoreML
- ✦Live training metrics and experiment comparison dashboard
- ✦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
- ✦1,000+ generative model APIs
- ✦Serverless GPU inference engine
- ✦On-demand and dedicated GPU clusters
- ✦Model fine-tuning and custom deployments
- ✦Bring-your-own-weights and private endpoints
- ✦SOC 2 compliance and enterprise features
- ✦Model APIs
- ✦GPU Instances
- ✦Serverless GPUs
- ✦Custom Model Deployment
- →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 and training custom object detection or segmentation models
- →Labeling large image/video datasets for computer vision projects
- →Deploying vision models to edge or mobile devices
- →Running quality control or defect detection in manufacturing
- →Powering retail, logistics, or agriculture vision applications
- →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
- →Adding image/video generation to an app
- →Running fast diffusion-model inference at scale
- →Training or fine-tuning custom generative models
- →Deploy AI models for various applications using a simple API.
- →Scale AI applications with serverless GPUs.
- →Access high-performance GPUs for demanding workloads.
- →Deploy custom models with guaranteed performance and scalability.