Deploy and Scale Machine Learning Applications in Production

Monitor, Govern and Validate ML-based applications

Automate DevOps for ML

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.

Accelerate Your Team

ML health monitoring

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

Optimize Hardware

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.


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.


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

Multi-Platform Integration Solutions

Akira AI provides Integrations with leading Libraries, Platforms and Tools.

  • 10+

    Data Sources & Connectors
  • 10+

    Programming Languages
  • 6+

    Popular Framework
  • 6+

    Intelligence & Analysis Tools

Deploy As You Need

Deploy Scalable AI and Machine Learning applications on - Cloud,on-premises, Hybrid.

Private Cloud

Public Cloud

Public Cloud

Hybrid Cloud

Hybrid Cloud

MLOps and Scalable AI Related Resources

Read our Thought Leadership Driven content on Best Practices, Implementation and Use Cases of AI For Engineering.

  • Blog arrow_right_alt

  • Use Cases arrow_right_alt

Overview of MLOps Challenges and Solutions

Overview of MLOps Challenges and Solutions

Get an Insight about Best Practices and Challenges for MLOps Adoption.

Bringing AI at the Edge

Bringing AI at the Edge

Explore How to Enabling Artificial Intelligence (AI) Solutions on Edge.

Use Cases
Use Cases

Provide Envied Customer Engagement

Deploy applications that process massive amounts of events in real time.

Use Cases

Deliver Better Analytics Recommendations

Automate analytical model building, using algorithms that iteratively learn from your data.