Machine Learning Operations (MLOps) platform for Enterprises

Manage the Full Lifecycle of ML in Production

Akira AI enables Enterprises to efficiently streamline Machine learning cycles with solutions for automated deployment and administration of machine learning models.

ML Health Monitoring

Automated Monitoring solutions empower Enterprises to understand and Proactively identify Performance and Operational Issues.

Machine Learning Model Governance

With an Effective MLOps platform, companies can Establish cross-functional governance and achieve capabilities to audit, manage access control in real-time.

VELOCITY

Experiment at scale

End-to-End Machine Learning orchestration

Minimize the complexity of the AI lifecycle, enable Automated Pipeline Orchestration, and build AutoML capabilities.

Visibility and Security

Solutions for empowering Real-Time data pipelines monitoring and security further facilitating data integrity.

TAKE CONTROL

Production-Grade MLOps Platform

Productionizing Machine Learning Models with Containers

With Automated Model Containerization Solutions, Companies can reduce the Complexity of Manual Orchestration and govern machine learning models in production.

Flexibility To Adapt

Build, deploy and manage end-to-end machine learning workflows at Scale.

Scale Machine Learning Applications in Production with Akira AI - MLOps Platform

Akira AI Platform enables you to Automate the infrastructure and deploy Deep Learning Models on Public Cloud as well as On-Premises.

Deploy any model in minutes

Advanced Monitoring

Autoscale to match any demand

Empower your data scientists

Optimized GPU usage

ML Model Lifecycle Management

Akira AI provides MLOps capabilities enabled solutions for building, maintaining, and deploying Machine Learning Applications at Scale.

Model Versioning and Iteration

Fully Managed MLOps platform that provides abilities to create a version of the model as required, provide notifications to users of the model about variations in version, and maintain model version history.

Model Monitoring and Management

Monitoring enabled MLOps solutions to help control and manage the model's usage continuously and metrics including infrastructure monitoring.

Model Discovery

MLOps platform provides model catalogs for models produced and a searchable model marketplace for supporting the user in observing several model metrics.

All in One Place