This Government Contract opportunity from Arizona was posted on May 7, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.
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The contract seeks the development and deployment of an AI-powered system designed for real-time detection of pedestrians, vehicles, and obstacles under diverse environmental conditions. The solution must include predictive risk scoring capabilities that assess potential hazards based on dynamic inputs such as lighting, weather, and traffic density, enabling proactive safety decisions. The technology must operate with high accuracy and low latency in live environments, supporting applications in transportation safety infrastructure. This subcontract, categorized under NAICS code 541715 for scientific research and development in computer systems design, is issued by the Arizona Transportation agency with a response deadline of May 29, 2026. While the physical location of performance is unspecified, the system is intended for deployment in transportation contexts within the state. The solicitation is open to qualified contractors capable of delivering robust, scalable machine learning models that can function reliably in unpredictable real-world scenarios, with emphasis on operational effectiveness under variability and adverse conditions.
General Info
Agency
Place of Performance
AZ, USASet-Aside
Documents
This scope was carved out of 2026-RFI-063.
The full solicitation package (2 documents), including the RFP, is on the prime solicitation, not on this scope.
Collision Avoidance System for Light Rail Vehicles
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Timeline
Submission Closed
Organization & Contact Information
Full Description
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