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RapidAI
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Platform
Pipelogic Agents
BetaAI engineers that know how to build components and backends.
Pipelogic Backends
The typed dataflow layer that connects models, inputs, rules, and actions.
Pipelogic Components
Build visually, reuse Components, and extend with Python or C++.
Pipelogic Runtimes
Deploy, monitor, update, and operate Backends across environments.
Pipelogic Applications
BetaBuild and release user-facing Applications that connect to AI Backends.
Start
Docs
Main developer documentation.
Quickstart
Fastest path to building something.
Build Your First Backend
Step-by-step guide to assembling a typed AI Backend.
Create Your First ComponentSoon
Step-by-step guide to writing and releasing a custom Component.
Make Your First ApplicationSoon
Step-by-step guide to creating, connecting, and releasing an Application.
Build
Visual Backend BuilderSoon
Compose Components into Backends visually.
CLISoon
Use the command-line interface to build, release, deploy, inspect, and debug.
Python SDK
Build Python Components for models, APIs, transformations, and business logic.
C++ SDK
Build high-performance Components for low-latency or compute-heavy workloads.
Typed Streams & Types
Understand how Pipelogic validates Component connections.
Component Schema
Define Component inputs, outputs, parameters, files, models, and runtime behavior.
Learn
Blog & Guides
Essays, practical guides, and explainers for building real-world AI systems.
Architecture Library
Reference patterns for AI Backends, Components, Runtimes, Apps, deployment, and operations.
Use Case PlaybooksSoon
Guides for safety, inspection, logistics, maintenance, voice, documents, robotics, and private AI assistants.
Customer StoriesSoon
Real deployments, outcomes, implementation examples, and production lessons.
Company
Pipelogic vs. AI Landscape
See how Pipelogic fits into the modern AI stack.
