Managed Services Offerings
Choose from our range to drive growth and innovation for your business
Provectus offers end-to-end management and support for AI/ML projects. This includes taking care of the entire machine learning pipeline, from data preparation and processing to model training and deployment.
We have a team of data scientists and machine learning engineers who work with the customer to understand their needs and develop customized solutions. Our teams use their expertise to help the customer configure data preparation and infrastructure and will then train and deploy the machine learning model.
After the model is deployed, the Managed Services team will monitor and maintain it, ensuring that it continues to provide accurate and reliable results. Depending on the customer's needs, this may involve regular updates to the model or changes to the underlying data sources or infrastructure.
By using a Managed AI Service, customers can 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. This can be particularly valuable for smaller organizations or those with limited resources who may not have the expertise or budget to develop and maintain AI/ML solutions in-house.
Managed ML Model services can be considered a subset of Managed AI Services. Managed ML Model service typically provides end-to-end management and support for a specific machine learning model or set of models rather than the entire AI/ML pipeline.
The Managed Services team will work with the customer to develop a machine learning model that is tailored to their specific needs, using a range of techniques and algorithms to ensure accuracy and reliability. They will then train and deploy the model and monitor it to ensure that it continues to provide accurate and reliable results over time.
Provectus has extensive expertise in all popular ML domains, such as computer vision, natural language processing, or predictive analytics, and will use this expertise to help the customer develop a model that is specifically tailored to their needs. We also have expertise in the specific tools and technologies required to develop and deploy machine learning models in these domains.
By using a Managed ML Model service, customers can benefit from the expertise of the service provider, without having to invest in their own data science and machine learning teams or infrastructure. This can be particularly valuable for organizations that require a specific machine learning model for a particular use case, but do not have the expertise or resources to develop and maintain it in-house.
Managed MLOps platform is another subset of Managed AI Services that focuses on the management and support of the machine learning operations (MLOps) pipeline. MLOps is the process of managing and automating the entire lifecycle of machine learning models, from development to deployment and maintenance. A Managed MLOps platform provides the infrastructure, tools, and services needed to implement and manage this process.
The Managed MLOps platform typically includes tools for managing the data and model pipelines, such as data ingestion, storage, and transformation; model training, validation, and deployment; and monitoring and maintenance of the deployed models. It also provides tools and services for managing the infrastructure required to run the machine learning models, such as compute and storage resources. Depending on the customer's needs, this infrastructure may be hosted in the cloud or on-premises.
Managed Services team has expertise in MLOps processes, tools, and technologies, and will work with the customer to customize the platform to their specific needs. This may involve integrating with existing tools and systems, such as data sources or other software applications, to ensure a smooth and seamless flow of data and models.
By using a Managed MLOps platform, customers can benefit from the expertise and experience of the platform provider, without having to invest in their own MLOps teams or infrastructure. This can help ensure that machine learning models are developed and deployed quickly and efficiently, and that they continue to provide accurate and reliable results over time.
Managed Cloud Infrastructure service provided by Provectus is a comprehensive solution for managing and optimizing the cloud infrastructure for customers' applications and services. The service is designed to help customers reduce the complexity and overhead of managing their cloud infrastructure while ensuring optimal performance, security, and cost efficiency.
The Managed Cloud Infrastructure service includes a range of services, such as cloud architecture design, deployment, management, monitoring, and optimization. The service provider will work with the customer to understand their requirements and develop a customized cloud infrastructure solution that meets their specific needs.
We have expertise in a range of cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), and will use this expertise to help the customer choose the right platform and services for their needs. Our team also has expertise in a range of cloud technologies and tools, such as containers, serverless computing, and automation tools, which can be used to optimize the performance and cost-effectiveness of the cloud infrastructure.
The Managed Cloud Infrastructure service also includes proactive monitoring and maintenance of the cloud infrastructure to ensure it continues to perform optimally. This may involve monitoring the infrastructure for security vulnerabilities, ensuring that the infrastructure is scalable and highly available, and optimizing the infrastructure for cost-effectiveness.
By using a Managed Cloud Infrastructure service, customers can benefit from the expertise and experience of the service provider, without having to invest in their own cloud infrastructure management team. This can help ensure that the cloud infrastructure is designed and managed in the most efficient and effective manner, enabling customers to focus on their core business and applications.
The Production Support service provided by Provectus is a comprehensive solution for managing and supporting customers' applications and services in production. The service is designed to help customers ensure optimal performance, availability, and reliability of their applications and services in production environments while minimizing downtime and disruptions.
The Production Support service includes a range of services, such as monitoring, incident management, problem resolution, and performance optimization. The service provider will work with the customer to understand their requirements and develop a customized support solution that meets their specific needs.
Our team of professionals has expertise in a range of technologies and tools, such as application performance management (APM) tools, log management tools, and incident management tools, which can be used to proactively monitor and manage the applications and services.
The Production Support service also includes 24/7 support and incident management, which ensures that any issues are resolved quickly and efficiently, minimizing downtime and disruption to the customer's business. The service provider will work with the customer to establish service level agreements (SLAs) and escalation procedures to ensure that issues are prioritized and resolved promptly and efficiently.
By using a Production Support service, customers can benefit from the expertise and experience of the service provider, without having to invest in their own production support team. This can help ensure that the applications and services are always available, perform at optimal levels, and are responsive to changing business needs.
Managed Data Platform service provided by Provectus is a comprehensive solution for managing and optimizing the data platform for customers' applications and services. The service is designed to help customers reduce the complexity and overhead of managing their data platform, while ensuring optimal performance, security, and cost-efficiency.
The Managed Data Platform service includes a range of services, such as data architecture design, deployment, management, monitoring, and optimization. The service provider will work with the customer to understand their requirements and develop a customized data platform solution that meets their specific needs.
Our team has expertise in a range of data platforms, such as Hadoop, Spark, and NoSQL databases, and will use this expertise to help customer choose the right platform and services for their needs. We also have expertise in a range of data technologies and tools, such as data warehousing, ETL, and BI tools, which can be used to optimize the performance and cost-effectiveness of the data platform.
The Managed Data Platform service also includes proactive monitoring and maintenance of the data platform to ensure it continues to perform at optimal levels. This may involve monitoring the platform for security vulnerabilities, ensuring that the platform is scalable and highly available, and optimizing the platform for cost-effectiveness.
By using a Managed Data Platform service, customers can benefit from the expertise and experience of the service provider without having to invest in their own data platform management team or infrastructure. This can help ensure that the data platform is designed and managed in the most efficient and effective manner, enabling customers to focus on their core business and applications.
Managed Releases service provided by Provectus is a comprehensive solution for managing and optimizing the software release process for customers' applications and services. The service is designed to help customers reduce the complexity and overhead of managing their software releases, while ensuring a smooth and efficient release process that minimizes risk and downtime.
The Managed Releases service includes a range of services, such as release planning, deployment, rollback, and post-release monitoring. The service provider will work with the customer to understand their requirements and develop a customized release workflow that meets their specific needs.
Our DevOps team has expertise in a range of release management tools and technologies, such as continuous integration and delivery (CI/CD) pipelines, deployment automation, and configuration management tools. They will use this expertise to help the customer optimize their release process, ensuring that releases are efficient, reliable, and secure.
The Managed Releases service also includes proactive monitoring and support for the release process, including 24/7 support and incident management. This helps ensure any issues are resolved quickly and efficiently, minimizing downtime and disruption to the customer's business.
By using a Managed Releases service, customers can benefit from the expertise and experience of the service provider, without having to invest in their own release management team or infrastructure. This can help ensure that software releases are managed in the most efficient and effective manner, enabling customers to focus on their core business and applications.
Managed Data Pipelines service provided by Provectus is a comprehensive solution for managing and optimizing the data pipelines for customers' applications and services. The service is designed to help customers reduce the complexity and overhead of managing their data pipelines, while ensuring optimal performance, reliability, and cost-efficiency.
The Managed Data Pipelines service includes a range of services, such as data integration, ETL (extract, transform, load), data validation, data processing, and data warehousing. The service provider will work with the customer to understand their requirements and develop a customized data pipeline solution that meets their specific needs.
Our Data Engineering team has expertise in a range of data pipeline technologies and tools, such as Apache Kafka, Apache Spark, Apache Beam, Apache Airflow, and other popular data pipeline frameworks. They will use this expertise to help the customer optimize their data pipeline process, ensuring that data is efficiently and reliably collected, processed, and delivered to the right systems and applications.
The Managed Data Pipelines service also includes proactive monitoring and maintenance of the data pipelines to ensure they perform optimally. This may involve monitoring the pipelines for security vulnerabilities, ensuring that the pipelines are scalable and highly available, and optimizing the pipelines for cost-effectiveness.
By using a Managed Data Pipelines service, customers can benefit from the expertise and experience of the service provider, without having to invest in their own data engineering team or infrastructure. This can help ensure that data pipelines are designed and managed in the most efficient and effective manner, enabling customers to focus on their core business and applications.
Business Intelligence (BI) service provided by Provectus is a specialized solution for managing and optimizing data analysis and reporting for customers' businesses. The service is designed to help customers gain valuable insights from their data, and make informed decisions based on those insights.
The BI service is typically a subset of a Managed Data service, where the service provider will work with the customer to identify the most relevant data sources and develop customized data analysis and reporting solutions that meet their specific needs. The BI service may involve the use of a range of BI tools and technologies, such as Tableau, Power BI, QlikView, or other popular BI platforms.
The BI service includes a range of services, such as data modeling, data analysis, and data visualization. The service provider will work with the customer to develop a customized BI solution that provides the most valuable insights and reports for their business.
Our team of analysts has expertise in a range of BI technologies and tools and experience working with different data sources, such as databases, data warehouses, and data lakes. They will use this expertise to help the customer optimize their BI process, ensuring that insights are efficiently and accurately analyzed and reported.
By using a Business Intelligence service, customers can benefit from the expertise and experience of the service provider, without having to invest in their own BI team or infrastructure. This can help ensure that data analysis and reporting are designed and managed in the most efficient and effective manner, enabling customers to make better business decisions and drive growth.
Managed Data service provided by Provectus is a comprehensive solution for managing and optimizing customers' data infrastructure end-to-end. The service is designed to help customers reduce the complexity and overhead of managing their data, while ensuring optimal performance, reliability, and cost-efficiency.
The Managed Data service includes a range of services, such as data engineering, data pipelines, data warehousing, data modeling, data analysis, and data visualization. The service provider will work with the customer to understand their requirements and develop a customized data solution that meets their specific needs.
Our teams have expertise in a range of data technologies and tools, such as Apache Hadoop, Apache Spark, Apache Kafka, SQL, NoSQL, and other popular data frameworks. They will use this expertise to help the customer optimize their data process, ensuring that data is efficiently and reliably collected, processed, and delivered to the right systems and applications.
The Managed Data service also includes proactive monitoring and maintenance of the data infrastructure to ensure that it continues to perform at optimal levels. This may involve monitoring the infrastructure for security vulnerabilities, ensuring that the infrastructure is scalable and highly available, and optimizing the infrastructure for cost-effectiveness.
By using a Managed Data service, customers can benefit from the expertise and experience of the service provider, without having to invest in their own data engineering or data analytics team or infrastructure. This can help ensure that data is managed in the most efficient and effective manner, enabling customers to focus on their core business and applications.
Additionally, customers can rest assured that their data is secure, well-organized, and easily accessible, allowing them to make informed decisions and drive business growth.
Managed Intelligent Document Processing (IDP) service provided by Provectus is a specialized solution for automatically extracting structured data from any type of semi-structured or unstructured information, such as documents, forms, or emails.
The IDP service is designed to help customers reduce the complexity and time-consuming process of manual data entry, while ensuring optimal accuracy, reliability, and cost-effectiveness. The IDP service can extract data from various types of documents, including invoices, purchase orders, financial statements, and more.
The Managed IDP service includes a range of services, such as document classification, data extraction, data validation, and data integration. The service provider will work with the customer to understand their requirements and develop a customized IDP solution that meets their specific needs.
Our product team has expertise in a range of technologies and tools, such as OCR (Optical Character Recognition), NLP (Natural Language Processing), machine learning, and other AI technologies. They will use this expertise to help the customer optimize their IDP process, ensuring that data is efficiently and accurately extracted, validated, and delivered to the right systems and applications.
The Managed IDP service also includes proactive monitoring and maintenance of the IDP platform to ensure that it continues to perform at optimal levels. This may involve monitoring the platform for security vulnerabilities, ensuring that the platform is scalable and highly available, and optimizing the platform for cost-effectiveness.
By using a Managed IDP service, customers can benefit from the expertise and experience of the service provider, without having to invest in their own IDP team or infrastructure. This can help ensure that document processing is managed in the most efficient and effective manner, enabling customers to focus on their core business and applications. Additionally, customers can rest assured that their documents are processed securely, accurately, and with minimal manual intervention, allowing them to make informed decisions and drive business growth.
Managed DevOps service is a comprehensive solution offered by Provectus, which combines Managed Releases, Cloud Infrastructure, and Production Support. It provides customers with a reliable and efficient way to manage their development and deployment processes, while ensuring high availability, scalability, and security.
The service includes a range of services, such as continuous integration and delivery, infrastructure management, monitoring and alerting, security and compliance, and incident management. Continuous integration and delivery help automate the process of building, testing, and deploying code changes, ensuring that applications are released quickly and reliably. Infrastructure management includes managing servers, storage, networks, and security, allowing customers to focus on their applications and business needs.
The service also provides comprehensive monitoring and alerting, which proactively identifies and alerts customers to any issues or performance degradation in the infrastructure or applications. Security and compliance services include threat detection, vulnerability scanning, and compliance monitoring, ensuring that customers' applications and data are secure and compliant with industry regulations. Incident management helps resolve any issues that arise during the development or deployment process, ensuring that customers can quickly get back to normal operations.
Overall, Managed DevOps is an ideal solution for organizations that want to optimize their development and deployment processes while minimizing downtime and ensuring the security and scalability of their applications. With Managed DevOps, customers can benefit from a single point of contact for their development, deployment, and production needs, allowing them to focus on their core business and applications.
