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Opinosis Analytics to Provide LLM Expertise Under DTRA Contract for AI Radiation Health Physics

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Firm brings subject matter expertise in natural language technologies; proven experience with Large Language Models (LLMs) was a key factor in award decision.

SALT LAKE CITY - TelAve -- Opinosis Analytics, a leading AI and machine learning consulting firm specializing in advanced Natural Language Processing (NLP) and Large Language Models (LLMs), today announced it has been awarded a subcontract under the Defense Threat Reduction Agency (DTRA) Small Business Technology Transfer (STTR) Program, Contract No. HDTRA225PE009.

The subcontract supports the project titled "A Personal Artificial Intelligence (AI) Radiation Health Physicist Companion for Radiological Environments." As part of the project team, Opinosis Analytics will provide subject matter expertise in natural language technologies, ensuring that the AI companion can effectively interpret, process, and communicate complex scientific knowledge.

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A key factor in Opinosis Analytics' selection was its proven experience in applying LLMs and NLP to mission-critical environments, enabling human operators to interact naturally with advanced AI systems. By integrating this expertise, the AI companion will deliver real-time, reliable guidance in radiological environments, enhancing both safety and decision-making.

"We are honored to support DTRA's mission through this STTR subcontract," said Kavita Ganesan, CEO of Opinosis Analytics. "Our role focuses on ensuring the AI companion communicates critical radiation health knowledge clearly and effectively, making advanced expertise accessible to operators when it matters most."

This award highlights Opinosis Analytics' growing reputation as a trusted provider of applied AI solutions for government and defense, with a strong track record of turning advanced research into practical, scalable outcomes.

For more information about Opinosis Analytics and its AI consulting services, please visit www.opinosis-analytics.com.

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Source: Opinosis Analytics

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