Unlock AI Potential with VapusData's Unified Data Platform
VapusData is a modern data management and AI integration platform designed to help organizations unlock the full power of AI. We provide secure, scalable, and well-governed data solutions that drive innovation, efficiency, and growth.
Our platform simplifies data integration, governance, and AI model management, offering an all-in-one solution. Built on Data Mesh principles, it ensures decentralized yet cohesive data management for your business.
A Governed, Compliant, and Secure Bridge Between Your Data and AI
Decentralized Data Platform
Offers a decentralized & self-service data platform that enables data producers to build data products and data consumers to consume data products in a secure, compliant, and scalable way.Data Governance, Security, and Compliance
Cloud native modern framework for data Governance, Security, and Compliance, Consumers will have confidence in data producers and data consumers that increase productivity, make the system cost effective and reduce the go-to-market time of the solutions with compliance and security.Secured & Governed AI Studio
Vapusdata AI Studio is an enterprise grade platform that provides a governed and opiniated way to manage all major AI Models (open-source, Saas, self-hosted) as a service by reducing the complexity of the AI model deployment and management in a cost effective way. It also provides an interface to train or fine-tune your models with quality diverse dataset on different GPUs and TPUs infrastructure under a single roof.Data Product as a Service
A platform to manage the all data product infrastructure (hyperscalers or on-prem ) and AI model infrastructure(hyperscalers, Nvidia etc) in a cost effective way with the help of orchestration tools.Data Migration, Replication, and Synchronization
Manages data migration, replication, and synchronization across different data sources and data products. It also provides a way to manage the data quality and data lineage across different data sources and data products.Data Auditing and Quality Monitoring
Provides a single plane of glass to data auditors to monitor, audit and report the data quality. Every data source and data product will have a data quality score that will be monitored and audited in an automated way. Data auditors can also set the data quality policies and rules for the data sources and data products.
Highlights
Pillars of VapusData
Five Prinicples of VapusData Platform
VapusData is a platform that enables data producers to build data products and data consumers to consume data products in a secure, compliant, and scalable way.
Five pillars of VapusData boosts confidence in data producers and data consumers that increase productivity, make the system cost effective and reduce the go-to-market time of the solutions with compliance and security.
Data product containers
Introducing a new unit of value for data
VapusData Containers are autonomous software units of data products built and managed by domains independently that hold the data workers, governance policies, security policies & tools, interface APIs, and lineage metadata.
VapusData containers ensure that data consumed by the users are compliant as per user role and access scope and also guarantee the data quality throughout the journey.
Platform also enables domains to provide data products as a service for their consumers using self-service approach.
Eliminate Complexity & Embrace Standardization
Simple, Secure, Standard and Scalable
VapusData offers orchestration tools that provide a self-service platform for data producers to manage the lifecycle and scaling of their data products.
Platform also set the standardization across the organization for consuming the data from VapusData containers with proper authn/authz and standard API spec for all. Consumers can register their custom model response modelling as well while consuming the data from containers.
Everything is Data
Support for different data sources
Vapus Data Platform provides support for different data sources for different service providers hosted on cloud or on-prem .
This capability will allow domain owners and data consumers to operate, share and discover diverse datasets on a single platform across different hyperscalers and on-prem systems.
Simple Workflows to Bring Your Secure & Governed Data Close to Your AI
Self Service Containerized Data Products
The organization emphasizes developing and managing tailored data products across various domains like Sales, Inventory, Order, and Marketing. Central to this is integrating AI models from OpenAI and Llama, involving installation, prompt setup, and fine-tuning, with the AI/ML team building federated data products to utilize AI effectively across domains. Federated data products promote collaborative, cross-domain data management, enhancing efficiency through shared utilization. User-friendly interfaces and search engines are crucial for data consumers to access and interact with data products. The comprehensive process of building, publishing, and deploying data products and AI models highlights a structured lifecycle from development to consumer interaction, indicating a strategic approach to implementing AI capabilities within the organization.
Vapus Agents
The Datamesh Agent is central to creating and managing compliant data products within the Datamesh framework, supporting both data consumers and producers. These data products are securely accessible, customizable, and can be tailored to specific needs, ensuring data integrity and flexibility. The Datamesh integrates with various systems like application data sources, ERP systems, and search engines to enhance data offerings and facilitate discovery. The AI Studio and Data Consumer Agent enable user interaction with data products, providing tools for consumption and analysis. Together, these components ensure a secure, governed, and efficient data ecosystem.
Observability Over Whole Platform
VapusData Observability provides insights into a number of platform features, including the data products pipeline view, data products attestation view, and data products consumption metrics. It also provides insights into a number of data-store aspects, including data encryption, data compliance check, and other trust perspectives.
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