# Pipelogic

> Build and deploy production AI systems. Pipelogic is a visual platform for assembling typed AI backends from reusable components — cameras, sensors, models, streams — and running them across cloud, on-prem, edge, and air-gapped environments.

Pipelogic enables teams to build AI backends by connecting pre-built components for computer vision, audio, NLP, and data processing. Backends run in containerized environments with zero-copy shared memory for high performance, and deploy to public cloud, private cloud, on-premises, or fully air-gapped infrastructure.

## Docs

- [Documentation](https://pipelogic.ai/docs): Full platform documentation and guides

## Product

- [Product](https://pipelogic.ai/product): AI backend infrastructure overview
- [AI Backends](https://pipelogic.ai/product/backend): Typed dataflows that turn models into production systems
- [Components](https://pipelogic.ai/product/components): Reusable AI building blocks for models, streams, and APIs
- [Runtimes](https://pipelogic.ai/product/runtimes): Deploy and operate backends from cloud to air-gapped
- [Applications](https://pipelogic.ai/product/applications): User-facing apps powered by AI backends
- [Agents](https://pipelogic.ai/product/agents): Agent-native platform automation
- [Features](https://pipelogic.ai/feature): Platform capabilities
- [Explore](https://pipelogic.ai/explore): Browse public AI solutions and demos
- [Component Library](https://pipelogic.ai/explore/components): Pre-built AI components catalogue
- [Solutions](https://pipelogic.ai/explore/solutions): Ready-made AI applications to try instantly
- [Pricing](https://pipelogic.ai/pricing): Plans and pricing
- [Enterprise](https://pipelogic.ai/enterprise): Production AI under your control

## Comparisons

- [Pipelogic vs NVIDIA DeepStream](https://pipelogic.ai/compare/nvidia-deepstream): Perception stack vs AI system assembly
- [Pipelogic vs Roboflow](https://pipelogic.ai/compare/roboflow): CV model workflows vs operational AI systems
- [Pipelogic vs Ultralytics](https://pipelogic.ai/compare/ultralytics): YOLO platform vs model-agnostic backends
- [Pipelogic vs viso.ai](https://pipelogic.ai/compare/viso-ai): CV platform vs AI assembly layer
- [Pipelogic vs Lumeo](https://pipelogic.ai/compare/lumeo): Video analytics vs multimodal AI
- [Pipelogic vs Clarifai](https://pipelogic.ai/compare/clarifai): Model infrastructure vs operational backend
- [Pipelogic vs n8n](https://pipelogic.ai/compare/n8n): Workflow automation vs AI event assembly
- [Pipelogic vs Pipecat](https://pipelogic.ai/compare/pipecat): Voice agent framework vs real-world AI backend
- [Pipelogic vs Pixeltable](https://pipelogic.ai/compare/pixeltable): Data infrastructure vs operational backend
- [Pipelogic vs FlowFuse](https://pipelogic.ai/compare/flowfuse): Industrial flows vs AI-native assembly
- [Pipelogic vs vertical AI products](https://pipelogic.ai/compare/vertical-products): Point solutions vs reusable platform

## Blog

- [Introducing Pipelogic](https://pipelogic.ai/blog/introducing-pipelogic): AI solutions that run anywhere — first public release
- [The Real-World AI Landscape](https://pipelogic.ai/blog/pipelogic-vs-competitors): Pipelogic vs Roboflow, Lumeo, viso.ai, NVIDIA DeepStream, and the field

## Company

- [About](https://pipelogic.ai/about): About Pipelogic
- [Contact](https://pipelogic.ai/contact): Get in touch
- [Book a Demo](https://pipelogic.ai/bookdemo): Schedule a product demo
- [Community](https://pipelogic.ai/community): Share components and backend templates
- [Careers](https://pipelogic.ai/careers): Open roles
- [Press & Media](https://pipelogic.ai/press-and-media): Press resources and contacts