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City of Austin Development Department·Texas

Development Services Close Large Language Model Solution

Closes 2/6/2026$500k – $2MRequest for Information
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Description

The City of Austin Development Department is seeking a closed Large Language Model (LLM) solution to assist internal staff and the broader community in accessing accurate information related to development regulations and processes. The primary objective is to reduce the time and effort required to research official source materials, while improving service delivery and ensuring compatibility with existing City technologies. The City is seeking LLM solutions with capabilities in natural language processing, program safety, and user experience. Vendors are requested to provide information on their capabilities, approaches, and relevant experience. • Natural Language Processing (NLP) capabilities • Program safety features • User experience characteristics • System traceability and auditability • Core platform capabilities • Data privacy and protection practices • Available access formats • Reporting tools and capabilities • Methods used to measure response accuracy, customer satisfaction, user experience, and technical performance

Attached files

Contact

Kyle Boisjoli(Procurement Contact)

[email protected]

(512) 978-1787

Key dates

Opened
1/23/2026
Closes
2/6/2026

Last updated

Details

Type
Request for Information
Industry
Information Technology and Software Development
NAICS
511210
Solicitation №
RFI 5300 JCN6010

Budget estimate

$500,000 – $2,000,000

The budget for this opportunity is difficult to estimate, as it is a Request for Information (RFI) and not a formal procurement. However, based on the scope of the project, which involves the development and implementation of a closed LLM solution, the budget could be in the range of $500,000 to $2 million. This estimate is based on the assumption that the City will require a comprehensive solution that includes software development, implementation, and maintenance. Factors that may influence the likely payment range include the complexity of the solution, the number of users, and the level of customization required.

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