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
Dokumentation
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.
Lernen
Blog & Leitfäden
Essays, praktische Leitfäden und Erklärungen für den Aufbau realer KI-Systeme.
Architekturbibliothek
Referenzmuster für KI-Backends, Komponenten, Runtimes, Apps, Deployment und Betrieb.
Anwendungsfall-PlaybooksDemnächst
Leitfäden für Sicherheit, Inspektion, Logistik, Wartung, Sprache, Dokumente, Robotik und private KI-Assistenten.
KundenstoriesDemnächst
Echte Deployments, Ergebnisse, Implementierungsbeispiele und Produktionslektionen.
Unternehmen
Pipelogic vs. KI-Landschaft
So passt Pipelogic in den modernen KI-Stack.
