Transfer Human Intelligence to Robots
Provider of general purpose artificial intelligence for your robots, so that they can learn and understand the processes they automate
No more dumb bots, Traditional RPA is out of date
Visualyze brings you the intelligent automation platform to create truly intelligent robots without costing a fortune to hire a team of data scientists and machine learning engineers.
How does it work?
Publish to Cloud
Upload your models to RobotAI Server for model versioning, evaluation and sharing with users and robots
Serve from cloud
Serve AI skills to your automations from RobotAI server with simple steps to configure high availability, performance turning and accuracy evaluation
Bring your own models
RobotAI supports pretrained models from popular frameworks and libraries including Tensortflow, Keras, Pytorch, ONNX and H2O
No-code machine learning development platform
RobotAI is a no-code platform for training custom machine learning models with your own data for a variety of scenarios.
Analyze the given text to find the categories that apply to the content of the text. For example, you could train a model to classify email contents to find its sentiment and classify to negative or positive.
Analyze the given text to identify and extract known entities contained in the text content. For example, you could train a model to look at customer support emails and extract the products they are talking about and which department is the mail addressed to by extracting product and department entities.
Analyze an image to find the categories that apply to the image. For example, you could train a model that classifies images of car parts to decide if it is defective or not.
Analyze an image and find all the objects found in the image, consisting of a label and bounding box location for each object. For example, you could train a model to find all the bar codes in an image with its location or train a model to find all humans in a factory from the given surveillance image.
Analyze tabular data and predict a numeric value. For example, you could train a model to estimate the value of a house.
Analyze tabular data and returns a list of categories that describe the data. For example, you could train a model to predict whether the purchase history for a customer predicts that they will buy a subscription or not.