This Government Contract opportunity from Utah was posted on July 16, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.
AI Software Development and LLM Integration
Contract Overview
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AI Contract Overview
The contract seeks development and integration of generative AI models designed to power dynamic, intent-driven conversational systems for public safety call handling. The solution must enable real-time understanding and response to emergency and non-emergency inquiries, ensuring accurate, timely, and context-aware interactions that support first responders and public safety agencies. The AI models must be tailored to operate reliably in high-stakes environments, handle diverse speech patterns, and integrate seamlessly with existing public safety communication infrastructure while maintaining data integrity and compliance with operational protocols. This is a subcontract under NAICS code 511210 for software publishing, with a posted date of July 16, 2026, and a response deadline of August 13, 2026. The opportunity is issued by the state of Utah, though specific organizational details, office address, and point of contact are not provided. The place of performance is unspecified, indicating potential flexibility in execution location. All proposals must demonstrate technical capability in deploying robust, scalable, and secure AI-driven conversational systems aligned with public safety requirements, with emphasis on performance under pressure, accuracy in intent recognition, and minimal latency in response generation.
General Info
Agency
NAICS
Place of Performance
UT, USASet-Aside
Documents
This scope was carved out of SLCI27013.
The full solicitation package (9 documents), including the RFP, is on the prime solicitation, not on this scope.
Salt Lake City Request for Proposals SLCI27013 - AI Enabled Non-Emergency Public Safety Call Handling and Assistive Solution
AI Contract Breakdown
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Timeline
Submission Closed
Organization & Contact Information
Full Description
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