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MAGIC Research Introduces Private AI: A Fully Customizable, White-Label Alternative to ChatGPT Powered by Your Own Private AI Infrastructure
Friday, August 22, 2025
Enterprise-ready, white-labeled generative AI platform cuts AI costs by up to 90% while keeping sensitive data secure within an organization's own infrastructure.
ORLANDO, Fla., Aug. 14, 2025 /PRNewswire/ -- MAGIC Research, a collaborative research program, virtual incubator, and service center for artificial intelligence (AI) and advanced technologies, announces today the launch of a white-labeled, enterprise-ready generative AI platform that gives organizations complete control over their data, infrastructure and brand identity. Unlike cloud chatbots that process prompts through vendor-owned infrastructure, MAGIC Private AI runs securely behind an organization's firewall, on its own hardware and under its own name. Early pilots using MAGIC Private AI show processes in industries like education, legal and government agencies can be completed up to 80% faster, while AI infrastructure costs drop by as much as 90%.
Recent data finds more than half of enterprise leaders see data privacy as a top concern when adopting third-party AI into their organization. Sensitive or confidential information processed through external, vendor-managed systems runs the serious risk of data leaks, unauthorized access, and compliance violations, especially in highly regulated industries. Meanwhile, 40% of companies report challenges integrating AI into existing legacy systems and cloud architectures, which can slow adoption and significantly increase installation and operational costs.
MAGIC Private AI is designed for companies that want to be in complete control of their artificial intelligence such as those in regulated or high-stakes environments including technology, legal, finance, or healthcare. The platform delivers the full range of modern AI capabilities including intelligent data retrieval, drafting, advanced research, complex analysis, retrieval-augmented generation (RAG), and agentic systems without sending sensitive data to third-party clouds or locking teams into pay-per-use pricing models. The fully white-labeled AI platform can run on cloud providers, data centers, private GPUs, and organizations' existing laptops or workstations without the need for external APIs or new infrastructure. This allows enterprises to deploy secure, branded AI capabilities at scale without compromising privacy, budget predictability, or functionality.
Core benefits include:
-- White-Label and Customization - Deploy fully branded AI experiences with
customizable UI, workflows, models, and permissions.
-- Private AI Infrastructure - Leverage existing infrastructure including
services, CPUs, and legacy GPUs to process advanced AI.
-- Full Data Sovereignty - All prompts, documents, and logs stay within
your infrastructure whether that's on-premises or in an organization's
private cloud.
-- Real-Time Performance at Minimal Cost - Optimizes AI workloads by
strategically deploying tasks across a mix of state-of-the-art and/or
legacy GPUs, CPUs, and accelerators, reducing costs while maximizing
efficiency.
-- Custom Compliance - GatewAI enforces policies and filters content, logs
activity, and aligns with industry-specific regulations like FERPA,
HIPAA, GDPR, and SOC 2.
"Many AI vendors are hosted on third-party clouds. We believe businesses will demand their own private intelligence - trained on their own data - that not only protects privacy but is also fully customizable to fit unique workflows and operational needs," said Humberto Farias, founder of MAGIC Research. "Our Private AI makes that vision a reality: delivering a solution that is both secure and practical for everyday business use. By keeping AI capabilities in-house, organizations can innovate confidently, avoid costly vendor lock-ins, and maintain compliance without sacrificing performance or flexibility."
MAGIC Private AI is powered by MAGIC's Fabric Hypergrid, the industry's first private, generative AI distributed computing hypergrid. The platform allows organizations to turn their existing hardware into an enterprise-grade AI supercomputer at a fraction of the cost without compromising speed, security, or scalability.
"At Pluris, we're always looking for ways to integrate innovation while protecting our students' privacy and values," said Mrs. Priscilla Araújo, CEO at Pluris Academy. "MAGIC Private AI allows us to explore cutting-edge educational tools within our own secure infrastructure. It's empowering to bring AI into the classroom on our terms--safely, responsibly, and in alignment with our mission."
To learn more about MAGIC Private AI, click here.
Find out how to transform your business with Fabric Hypergrid at researchmagic.com.
About MAGIC Research
MAGIC Research (Machine Advancements and Generative Intelligence Center) is a pioneering generative artificial intelligence (AI) and advanced computational intelligence (ACI) innovation hub dedicated to simplifying complex AI and ACI implementations and making them trustworthy, scalable, and accessible. With a world-class team of experts spanning computer science, engineering, physics, mathematics, and medicine, MAGIC specializes in AI and ACI research, enterprise AI solutions, advanced ACI research solutions, and next-generation computational frameworks. MAGIC is revolutionizing the way businesses, startups, and research institutions leverage AI and ACI--delivering high-performance, cost-efficient, and adaptable AI infrastructure for the future.
View original content:https://www.prnewswire.com/news-releases/magic-research-introduces-private-ai-a-fully-customizable-white-label-alternative-to-chatgpt-powered-by-your-own-private-ai-infrastructure-302529642.html
SOURCE MAGIC Research
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