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ai

Managed 

Managed Artificial Intelligence (AI) enables you to develop, enhance, and maintain projects through Data Science, Machine Learning (ML) engineering, and DevOps. It ensures the speed, efficiency, and quality of any AI/ML work by filling talent gaps and reducing implementation risks.

 

What we Do

AI Services

Imagine end-to-end service for managing AI workloads and a new approach to handling complicated, resource-intensive AI/ML tasks by third-party managed service providers. Veritris Managed AI enables companies to develop and deploy AI/ML solutions that deliver ROI, faster and at scale.

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High Availability

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Risk Management

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Flexibility

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Scalability

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Cost-Efficiency

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Continuous Support

Enhance customer experience
Streamline operations
Improve decision-making
Realize cost and time savings
Provide enhanced security
Generative
Artificial
Intelligence
20K+ Big Data 3.5K+ Managed Nodes 4.7 User Rating Start Your AI Journey

AIOps Services

Gain insight and monitor the efficiency and availability of your AI projects and infrastructure

INFRASTRUCTURE

A comprehensive solution for managing and optimizing the cloud infrastructure for customers’ applications and services.

MLOps Services

Benefit from the expertise and experience of a team of seasoned professionals without having to invest in their own data science and machine learning teams or infrastructure. 

Cognitive Automation

Benefit from the expertise and experience of Veritris without having to invest in their own MLOps teams or infrastructure.

how we do it

Machine Learning

Managed AI offers a comprehensive solution for overseeing AI workloads, introducing a fresh strategy for managing complex and resource-demanding AI and machine learning tasks through third-party service providers. This approach empowers organizations to create and implement AI and ML solutions that yield quick returns on investment while scaling efficiently.

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Managed MLOps

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Managed ML Models

What we’ve done

Advancing Innovation in the Energy Sector With a Cutting-edge MLOps Framework

The client is a prominent entity in the energy sector, strongly emphasizing the use of advanced technologies to boost operational efficiency and predictive maintenance. Functioning within a strictly regulated and competitive field, the client sought to optimize its machine-learning models’ deployment, monitoring, and management. They required a solution to streamline these processes and ensure compliance with stringent industry regulations and safety standards.

Veritis’ expertise in MLOps enabled the client to overcome their ML operational challenges effectively. Implementing a comprehensive and compliance-centric MLOps framework streamlined the client’s model deployment processes, enhanced monitoring and management, and ensured regulatory and safety compliance.

The successful collaboration between Veritis and the client has set the stage for continued innovation and growth in the client’s AI-driven initiatives. Veritis remains committed to delivering state-of-the-art solutions that empower clients to achieve their business goals as the energy sector advances.

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