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amazee.ai, a Mirantis company, announced the public beta release of its Private AI Assistant, which enables organizations to retain full control of their data when using AI. Private AI Assistant enables users to confidently leverage generative AI while keeping sensitive information private and secure – and out of the public domain.
“People are using free versions of ChatGPT, Claude, and Gemini to get their work done more quickly without realizing the implications of sharing private data that is then stored outside the organization and used to train models,” said Michael Schmid, co-founder and managing director of amazee.ai. “With Private AI Assistant, no prompts or output are stored, and no data leaves the user’s chosen region. No data escapes the organization, so it is fully protected from becoming publicly exposed.” The Deloitte State of Ethics and Trust in Technology report highlighted data privacy as the top concern with generative AI. Seventy-two percent of respondents ranked privacy among their top three concerns. The Private AI Assistant directly addresses this challenge by making secure, compliant AI accessible to all types of organizations, offering an alternative to AI models, such as ChatGPT, Claude, and Gemini. amazee.ai’s Private AI Assistant enables organizations to realize the benefits of AI without exposing sensitive data. Private AI Assistant lets organizations choose exactly where their data is processed and stored. Since amazee.ai never stores any prompts or outputs, there is no risk of sensitive information leaving the organization’s control.
Key capabilities of the amazee.ai Private AI Assistant include: * Region-specific data processing to support data sovereignty and compliance; * No retention of prompts or outputs, eliminating the risk of unintentional data exposure; * No-code setup that doesn’t require developers to configure basic AI workflows; * Enterprise-grade privacy and compliance at accessible pricing. Users can upload internal data such as documents, CRM records, and support tickets to generate AI insights, summaries, reports, or automated responses. Future releases of Private AI Assistant will enable users to connect directly to their CRM, ERP, and other tools to further streamline workflows and increase efficiency.
Mirantis and amazee.ai support enterprises building scalable, secure AI. Private AI Assistant enables organizations to control where data goes, making it ideal for healthcare, finance, and government usage, where there are concerns with patient privacy, financial regulations, and national security. The Private AI Assistant helps ensure compliance with regulations like GDPR, HIPAA, and CCPA. To learn more, read the blog post, Private AI: Why smart companies stay in control of their data. The beta release of the Private AI Assistant is now available for anyone interested in trials and evaluations by registering here. Pricing starts at $125 per month for 20 users with discounted levels as the number of users increases.
The release of Private AI Assistant underscores amazee.ai's commitment to privacy-first AI solutions, empowering organizations to harness generative AI's potential without compromising data security. By prioritizing sovereignty and compliance, it sets a new standard for enterprise AI adoption in regulated industries.
amazee.ai, a sibling company to amazee.io, which was acquired by Mirantis in 2022, provides privacy-first AI solutions and infrastructure with guaranteed data sovereignty, enabling enterprises to adopt AI securely and in compliance with regulations. Driven by a privacy-first ethos, amazee.ai delivers AI solutions across technologies, backed by the same reliability and support that its sibling company, amazee.io, is known for in managed web hosting.
Mirantis delivers the fastest path to enterprise AI at scale, with full-stack AI infrastructure technology that removes GPU infrastructure complexity and streamlines operations across the AI lifecycle, from Metal-to-Model. Today, all infrastructure is AI infrastructure, and Mirantis provides the end-to-end automation, enterprise security and governance, and deep expertise in Kubernetes orchestration that organizations need to reduce time to market and efficiently scale cloud native, virtualized, and GPU-powered applications across any environment – on-premises, public cloud, hybrid, or edge.
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