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AI Quality Assurance and Performance Testing Services

Active
State & Local

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

AI Contract Overview

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This subcontract for AI Quality Assurance and Performance Testing Services supports prime contractors on projects for the Teacher Retirement System of Texas. The scope of work focuses on comprehensive AI testing and performance analysis, including the development of auto-generated prompts and golden responses. The selected provider will be responsible for conducting load and stress analysis, as well as executing regression testing to detect behavioral changes following model updates. Technical execution involves utilizing AI testing platforms and CI/CD workflows to analyze step efficiency and task completion rates. Key deliverables include detailed test reports, regression analysis, and performance benchmarks. The opportunity is categorized under NAICS code 541519, with a response deadline of November 16, 2026.

General Info

Agency

Teacher Retirement System of Texas

Place of Performance

TX, USA

Set-Aside

NONE

Documents

This scope was carved out of TRS000683.

The full solicitation package (7 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Artificial Intelligence Agent Testing and Evaluation Platform

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Timeline

Posted

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Response Deadline

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Organization & Contact Information

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AgencyTeacher Retirement System of Texas
ContactsNo contacts available
OfficeN/A
Organization / Agency
Teacher Retirement System of Texas
Office AddressN/A
ContactsNo contact information available

Full Description

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Performs AI testing and performance analysis for prime contractors on Teacher Retirement System (TRS) of Texas projects. Develops auto-generated prompts and golden responses, conducts load and stress analysis, and executes regression testing to identify behavior changes after model updates. Analyzes task completion rates and step efficiency using AI testing platforms and CI/CD workflows. Delivers test reports, regression analysis, and performance benchmarks.

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