Accelerate creation of AI and drive incremental cost of producing AI to near-zero. We took it a notch ahead and automated the entire AI-ML development lifecycle to make AI-ML adoption easy with only a few clicks using our GUI based canvas.
An AI Operating System in a Box with unique innovations
Use CI/CD and MLOps methodologies in-a-boxIntegrate DevOps, data and ML pipelines together, and we can show how to use multiple workload orchestrators together
The platform enables AI-ML engineers and data scientists to get away from the pain of writing algorithms, constructing pipelines, and manually training or tuning models
Not months, in days; build, train, and deploy your AI model
Lessen your time to build and deploy AI-ML pipelinesMost times data teams (including AI-ML engineers and data scientists) have to work through complex workflows, manual systems and laborious tools which takes up significant amount of their time and result in errors
Easily collaborate across your AI-ML lifecycleShare and reuse AI-ML assets with other users within your enterprise - We call it an assisted AI-ML canvas to develop your next set of algorithms and train your models working in-sync with your group
Focus on innovation with your teamWith our automated AI-ML development platform, we bridge gaps between the training data, test data and your customer needs. So your AI-ML engineers and data scientists can now focus on innovation and customer growth
The MLOps canvas (platform-as-a-service) in collaboration with Sentrana offers easy to use GUI based PaaS with drag and drop functionalities, built-in IDE for the data teams, expansive library of ready-to-use algorithms, easy to create custom algorithms.
Now you can develop your ML pipelines quickly, build and deploy AI models, use data to train models for improved and faster results.
At Virtualigence, we believe in not reinventing the wheel but build upon your ‘as-is’ systems to get you to a ‘to-be’ state.
With our years of experience we are a confident and knowledgeable team that can quickly pick-up and engage with your thought process, needs and digitization plans.