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AI/LLM Sandbox Environment Development

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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The California Department of Fish & Wildlife is seeking a subcontractor to develop a secure, sandboxed AI environment designed specifically for use in regulatory summarization and user support applications. This environment must operate in complete isolation from any live systems to prevent unauthorized data access or interference, with every output traceable to authoritative, verified sources to ensure accuracy and accountability. The solution must enable controlled experimentation and analysis without exposing sensitive operational data or compromising system integrity. The subcontract is open for bids with a response deadline of August 28, 2026, and is classified under NAICS code 541511 for custom computer programming services. The procurement is managed under the state’s eProcurement platform, and while no set-aside provisions or specific organization type requirements are specified, the project is focused on delivering a compliant, auditable AI infrastructure tailored to the needs of a state regulatory agency. All development must prioritize security, traceability, and fidelity to official regulatory content.

General Info

Create secure, isolated AI environment for regulatory summarization with traceable outputs by August 28, 2026.

Agency

California Department of Fish & WildlifeView Agency

NAICS

541511 - Custom Computer Programming ServicesView NAICS

Place of Performance

CA, USA

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

Posted

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Organization & Contact Information

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AgencyCalifornia Department of Fish & Wildlife
ContactsNo contacts available
OfficeN/A
Organization / Agency
California Department of Fish & Wildlife
View Agency Profile
Office AddressN/A
ContactsNo contact information available

Full Description

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Develop a sandboxed AI environment for potential use in regulation summarization or user support, ensuring no access to live systems and traceable, authoritative outputs.

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