Kemu Platform overview
Real-Time Workflow Engine

Real-time AI workflows you can export and run anywhere

Build streaming and event-driven apps with function-like widgets. Export to edge, keep editing, and embed recipes as if they were local libraries.

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Kemu Edge Code

Built for Real-Time
and the Edge

From audio and video processing to IoT and AI agents, Kemu powers streaming and event-driven applications

Real-Time Pipelines

Process video, audio, and sensor streams with low latency for interactive systems and media applications

Export to Edge

One click to package recipes as standalone JS apps for macOS, Windows, Linux, and Raspberry Pi

Embed in Your Code

Import exported recipes via Edge SDK like npm modules and exchange data programmatically with your applications

Function-Like Widgets

Multi-input and multi-output dataflow that scales with complexity for sophisticated pipelines

From whiteboard to real-time app
in minutes

Compose widgets that behave like functions, integrate any library via services, and export recipes as standalone apps

Visual Workspace
Workspace

Visual Workspace

Compose function-like widgets into powerful workflows

Function-Like Widgets
Orchestration

Function-Like Widgets

Multi-input and multi-output dataflow for complex pipelines

Export & Run Anywhere
Edge Export

Export & Run Anywhere

One click to deploy standalone apps to any device

Workspace

Visual Workspace

Build streaming and event-driven applications with composable widgets that have multiple inputs and outputs. Connect services, data sources, and AI models to create sophisticated real-time pipelines.

Key Capabilities
Drag-and-drop interface with composable widgets
Multi-input and multi-output connections for complex dataflow
Visual feedback and real-time pipeline preview

More than just computer vision

Build AI agents with custom tools, data pipelines and ETL, voice and audio processing, IoT and edge applications, backend prototyping, and RAG with local models. Kemu empowers you to create real-time, streaming applications across any domain.

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Lower costs for real-time workloads

Process where data lives
Run at the edge for privacy, compliance, and lower latency
Compute efficient architecture
No heavy orchestration overhead compared to other platforms

Avoid repeatedly shuttling data through databases or cloud APIs. Keep sensitive media and data on-premises while maintaining high performance for streaming, media, and sensor processing.

Real-Time Processing
Low latency, high throughput
10x
Cost Reduction
<5ms
Latency

Explore our use cases

See how Kemu powers real-time applications across vision, voice, data, IoT, and AI agents

Beyond Chatbots: Real-Time Gesture Control for IoT
Showcase & Demos

Beyond Chatbots: Real-Time Gesture Control for IoT

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Building Your Own AI Transcription Tool: It Really Only Takes Two Minutes
Tutorials & Use Cases

Building Your Own AI Transcription Tool: It Really Only Takes Two Minutes

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When Your AI Character Keeps Changing Clothes Mid-Story
Agentic AI

When Your AI Character Keeps Changing Clothes Mid-Story

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