A Conversational AI
Development Framework

On Premise

Running servo on a local server when high security and reliability is needed


Run conversations, image-processing and AI automation with Servo from the cloud

Edge Device

Interface with IoT devices 
orchestrated by Servo

An open-source, multi-disciplinary development framework for conversational AI, built to support large-scale projects:

  • Develop, maintain and re-use complex conversations through a visual architectural editor
  • Augment NLU by linguistic algorithms for context understanding 
  • Mix multiple NLU and Image classification models from IBM Watson, Microsoft Cognitive Services, TensorFlow and more
  • Use a simulator and debugger to test and debug bots internally
  • Easily extend functionality with a fully open-source runtime
  • Drag-and-drop modules  for seamless back-end integration
  • Automated testing harness for end-to-end dialogues

Full Development Interface

Servo is made by developers, for developers. We know what a developer needs to build real AI systems. Servo is built above classic design patterns, abstracted database access layer, templating, caching and more, as presented in the videos below:

Visual flow Control

Simulator & Debugger

AI Learner

Advanced Context Engine

Context is a very powerful tool for AI systems. A system’s behavior can be influenced by location, time, a specific user or correlation in a conversation. With Servo’s  context detection algorithms, same conversations are modeled with far less nodes and complexity. Apply it for speech, text, location, time, or anything you think of.

Orchestrate sensors, vision and chat

Build multi-disciplinary AI abilities

Emojis show the world that a good conversation includes more than just text. Servo enables developers to receive, analyze and output images and sensor data, all under the same architecture, in a fraction of coding times

Easily import AI pipelines

Add images and sensors on both ends of the chat

Reduce development time

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