Research abstract
Generative AI has vast potential but is prone to errors such as outdated information, misinterpretations, hallucinations, or inadvertent release of sensitive data. These issues are especially critical in high-stakes environments where transparency and accountability are essential.áNeoMode addresses this problem by providing a platform that offers real-time visibility, traceability, and control over generative AI outputs. The solution features an interactive dashboard that tracks AI performance, queries, and responses, ensuring that outputs align with predefined quality standards. When errors occur, the platform allows users to trace AI-generated content back to its exact source, even as source data evolves. This ensures full auditability and facilitates quick error correction, enabling adjustments to data sources, interpretations, or redactions to maintain the integrity of AI outputs.Leveraging proven technologies such as Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), the platform enhances AI accuracy by integrating real-time, relevant external data. This eliminates the need for costly retraining while improving response accuracy and contextual relevance. The platformÆs open, modular architecture allows seamless integration with any LLM, embedding model, or vector database, providing flexibility for organizations to use their existing AI infrastructure.In mission-critical sectors like defense, where the cost of inaccurate data is high, NeoMode ensures that AI systems meet rigorous standards of accuracy and compliance. The platform enables real-time oversight and control, allowing organizations to deploy AI with confidence in sensitive environments and improving trust in AI-driven decisions.NeoMode differentiates itself with three core capabilities:áInteractive Trace, which ensures transparency by tracing AI outputs to specific source clauses;áInteractive Realign, which enables real-time adjustments to sources and interpretations to correct outputs quickly; andáOpen, Modular Architecture, which supports integration with any LLM-based system, including those used in classified environments.The solution is available through a subscription-based model with tiered pricing for large enterprises in sectors like defense, healthcare, finance, and law, where data integrity is crucial. Integrations with AI providers such as Anthropic, Meta, OpenAI, and AWS ensure scalability and compliance, particularly for U.S. defense and intelligence agencies.By addressing limitations in current AI systemsùlack of transparency, traceability, and real-time error correctionùNeoMode empowers organizations to fully leverage generative AI. The platformÆs capabilities enable accurate, accountable, and reliable AI outputs, ensuring AIÆs potential is realized in mission-critical applications.
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
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10 SBIR/STTR records share this UEI (2019–2025). Reported award amounts total $6,086,389. Reported amounts are not federal obligations.