Archive360 launches AI-ready cloud platform for data governance

Archive360 has launched a new data platform aimed at enabling enterprises to better govern and utilise their archival information for artificial intelligence and analytics.

The Archive360 Platform is described as the first modern archive solution specifically designed to provide governed data sets suitable for AI and analytics. It enables businesses and government organisations to access only relevant and compliant data, sourced from platforms such as SAP, Slack, and Oracle, while maintaining strict control over who can view the data, at what times, and for what purposes.

The company stated that fragmented and ungoverned enterprise data has been a significant obstacle to effective AI deployment. The new platform aims to address this by serving as a central, compliant repository that ingests data from a range of sources, including enterprise applications, modern communication tools, and legacy ERP systems. The platform is data agnostic, supporting a variety of structured and unstructured formats.

Jerry Caviston, Chief Executive Officer at Archive360, said: "Everyone wants to train AI on rich data, but most can't find, access or control it. Our platform flips that script. With a governed data archive, organizations can feed AI with the most relevant data from today alongside the salient information from the past, all while remaining in full control of what's accessed, by whom, and why."

The Archive360 Platform is designed to speed up the deployment of AI-powered use cases in areas such as fraud detection, insider trading analysis, resource planning, and clinical trials. According to the company, the platform ensures compliance with regulatory requirements and data governance policies, which can help mitigate the risk of inadvertently exposing sensitive or regulated information through AI processes or by ingesting irrelevant or incorrect data.

As Chief Technology Officer, Tibi Popp played a role in developing the platform. Popp, previously recognised for creating a dedicated SaaS archiving platform for the financial sector, focused on ending the traditional model in which vendors retained control over customer data and concentrated solely on historical information. The new platform enables customers to maintain ownership and administrative access to their archived data, rather than relying on proprietary systems.

The Archive360 AI & Data Governance Platform operates as a cloud-native, class-based solution. Each customer has access to a dedicated SaaS environment, designed to keep data segregated while allowing integration with customer-specific security protocols. This approach also extends administrative control and entitlements directly to the customer.

The platform's capabilities are intended to facilitate a shift from application-centric to data-centric archiving. Instead of requiring multiple, disconnected solutions for different types of application data, enterprises are able to centralise their data management. The company said this centralisation helps activate data, reduce technical debt, enhance compliance, and improve readiness for AI integration.

Other features include support for the protection, classification, and retirement of enterprise data. The platform can ingest and govern data from databases including SAP, Oracle, and SQL Server, alongside other content types. This provides customers with a unified view of their entire data landscape.

Archive360 has also incorporated connectors to leading analytics and AI tools such as Snowflake, Power BI, ChatGPT, and OpenAI. This enables archived data on the platform to be directly available for analytical and machine learning purposes.