MAGIC Research Launches Private AI Platform for Secure Enterprise Innovation

MAGIC Research, a collaborative research program, virtual incubator, and service center for artificial intelligence (AI) and advanced technologies, has announced 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 show that industries such as education, legal, and government can complete processes up to 80% faster while reducing AI infrastructure costs by as much as 90%.

With more than half of enterprise leaders citing data privacy as a top concern when adopting third-party AI, sensitive or confidential information processed through external systems carries risks of data leaks, unauthorized access, and compliance violations. Additionally, 40% of companies face challenges integrating AI into existing legacy systems and cloud architectures, slowing adoption and increasing costs.

MAGIC Private AI is built for organizations that require complete control of their artificial intelligence, particularly in regulated or high-stakes industries such as technology, legal, finance, and healthcare. The platform supports a wide range of AI capabilities, including intelligent data retrieval, advanced research, drafting, complex analysis, retrieval-augmented generation (RAG), and agentic systems—all without sending sensitive data to third-party clouds or relying on pay-per-use pricing models. It can be deployed across cloud providers, private data centers, GPUs, or even existing laptops and workstations, eliminating the need for external APIs or new infrastructure.

Core benefits include:

  • White-Label and Customization: Deploy fully branded AI experiences with customizable UI, workflows, models, and permissions.
  • Private AI Infrastructure: Leverage existing CPUs, GPUs, and services to power advanced AI without external dependencies.
  • Full Data Sovereignty: Keep all prompts, documents, and logs within your infrastructure—whether on-premises or in a private cloud.
  • Real-Time Performance at Minimal Cost: Optimize AI workloads across both modern and legacy hardware to reduce costs while maintaining speed and efficiency.
  • Custom Compliance: GatewAI enforces policies, filters content, logs activity, and aligns with industry 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 the Fabric Hypergrid, the industry’s first private, generative AI distributed computing hypergrid. This enables organizations to transform 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.”

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