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Canvasai
App Deployment Made Easy

Experience the ease of creating virtual environments and deploying applications with our intuitive drag-and-drop automation program.

AI Environments Created Instantly, No Technical Expertise Required

Canvasai is automation platform software that employs artificial intelligence to create and integrate multiple interconnected applications, functions, and processes into a single, unified environment using little or no code. 

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Canvasai is an innovative and powerful system that provides a web based "Drag & Drop" environment to create powerful AI models and applications using our automated tools.

Canvasai provides a foundation to build software products that can be linked to nearly any data stream or system.

Using “Drag and Drop” architecture, end users can customize applications and add features without knowing a single line of code, saving money on development costs. In addition, users can add and subtract new applications and tools as your business grows and changes without having to start from scratch or deal with messy migrations.

AI circuit chip with key hole in middle

Canvasai is based on an ontological driven inference engine for automatic AI algorithm selection. Our system helps organizations with limited technical staff, such as DEVOPS, data scientists, and developers create state of the art AI systems and environments using our Canvasai tool that can be deployed immediately.  Just drag and drop and follow the prompts to set up an entire environment on AWS or our company’s cloud.

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The environment can be a testing, analysis, and/or full end-to-end AI system to include auto database creation, raw data collection, and dashboard output.

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Capabilities

  • Select data sources or create Artificial Entities to collect open-source data.

  • Select deep learning/machine learning/neural network algorithms to train model (can select multiple to test accuracy of algorithms).

  • Select GPU training resources.

  • Select model output.

  • Create test environments that can be stored and shared.

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