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Data Squared (Data²) Secures Patent for Hallucination-Resistant

Data Squared

Data Squared (Data²), a Service-Disabled Veteran-Owned Small Business dedicated to helping public and private sector organizations unlock the full potential of their data, announced that the U.S. Patent and Trademark Office (USPTO) has issued a key patent directed to its groundbreaking Graph and Hybrid retrieval-augmented generation (RAG) based AI systems.

Data² is building one of the industry’s most advanced patent portfolios focused on hallucination-resistant, explainable AI (XAI). The company has established a new benchmark for trust, transparency, and performance in mission-critical environments.

“AI hallucinations and a lack of explainability have long been the Achilles’ heel of scaled AI adoption, especially in high-stakes environments,” said Jon Brewton, Founder & CEO of Data². “While traditional RAG systems retrieve and inject relevant external data into the generation process, our technologies go much further, making AI-generated answers fully transparent, verifiable, and grounded in traceable source data. We are committed to delivering solutions that empower decision makers to trust, trace, and verify every answer from any AI system.”

The Data² Technology

Unlike conventional RAG systems, Data²’s reView platform delivers dynamic, visual explainability, allowing users to trace every AI-generated answer back to its precise source data. The solution is LLM-agnostic, deployable in any environment – from cloud-native to fully air-gapped on-premises – and hardened with zero-trust security and enterprise grade encryption. This marks a step-change in AI capability and sets a new benchmark for trust and transparency in high-stakes industries.

Data²’s approach enables:

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Applications of Data²’s technology include:

Data² is actively licensing its systems to enterprise partners and embedding them into and along-side other existing commercial models and platforms. Purpose-built for environments where traceability and accountability are essential, these systems deliver regulatory-grade auditability, cross-modal data integration, and real-time explainability, while systematically mitigating hallucinated content in responses.

Source: Globenewswire

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