Machine Learning Can Be Complex,
Confusing and Costly With Other Tools
You shouldn’t need to jump over hurdles to use machine learning. That just slows your development.
mlOS is a Model Factory
mlOS streamlines mlOps
A production machine learning platformwith speed and extreme control
mlOS is loaded with features that make it easy to build, deploy, and monitor models at scale.
Braintoy's mlOS is a first of its kind.
A production machine learning platform
for people who need to build AI, FAST!
No-Coding or Coding
Light Mode or Dark Mode
Production Machine LearningFAQ
Artificial Intelligence is a branch of computer science that endeavors to replicate or simulate human intelligence in machines so that they can think like humans and mimic their actions. AI systems are powered by machine learning with the characteristic to rationalize and take actions that offer the best chance to achieve the target goal without having explicit formulas for all scenarios.
A model is what you get when you combine data with a machine learning algorithm. The three stages in building a model are the training, testing, and prediction. The training trains the model using past data, the testing phase validates the accuracy of the model that is built, and the prediction phase is when live data is fed into the model to predict the outcomes.
mlOS ingests all types of data - tabular, vision, text, and time series. Tabular data has rows and columns. Computer vision data is in the form of images. Text data is in the form of free text such as in documents, emails or transcribed speech, commonly referred to as Natural Language Processing. Time series data is a series of data points indexed in time order and typically comes from sensors. mlOS comes preshipped with preprocessing algorithms for all such data types.
mlOS is pre-shipped with over 60 popular algorithms. There are general purpose classifiers and regressors e.g. Random Forest, Support Vector Machine (SVM), Deep Learning classifiers and regressors e.g. TensorFlow, as well as NLP classifiers e.g FastText. Algorithms are added regularly. You can add custom algorithms on deploying your own mlOS.
Models are deployed on the web as an API endpoint with a unique identifier. Any application can now make requests to the model API endpoint URL with proper credentials and get predictions in real-time.
Every model is unique and version controlled. The user has the ability to build, view, interact with, customize, make new versions of, accept, reject or deploy any model. One model can be swapped for another seamlessly.
Braintoymakes AI accessible.
who struggle with the complexity of machine learning, Braintoy makes it easy to build and deploy ML models in your applications.
For Development Teams
who struggle to collaborate when building and deploying machine learning in your products, Braintoy simplifies collaboration.
who struggle to afford and develop AI solutions that can increase their competitiveness, Braintoy makes AI feasible.