Procurement Summary
Country : USA
Summary : Artificial Intelligence / Machine Learning (Ai/Ml) Solution
Deadline : 16 Aug 2024
Other Information
Notice Type : Tender
TOT Ref.No.: 105176891
Document Ref. No. : 1019430508
Competition : ICB
Financier : Self Financed
Purchaser Ownership : Public
Tender Value : Refer Document
Purchaser's Detail
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Login to see detailsTender Details
Description
This Sources Sought Notice (SSN) is issued as market research to determine industry-s capabilities to provide a proven commercial-off-the-shelf (COTS) artificial intelligence / machine learning (AI/ML) solution capable of delivering state-of-the-art large language model (LLM) capabilities. The solution must provide a commercially proven base platform with an integrated suite of robust analytical tools and AI/ML capabilities that may be customized to meet specific Department of State (“State”) requirements and use cases. The solution must also provide leading edge capability in large language model (LLM) development to support a range of AI-enhanced workflows able to securely process and analyze government data of various classification levels, meeting federal security requirements such as accreditation at DoD Impact Level 6 (IL6) and having a moderate level or higher FedRamp-authorization for commercial software solution.
Active Contract Opportunity Notice ID 1019430508 Related Notice Department/Ind. Agency STATE, DEPARTMENT OF Sub-tier STATE, DEPARTMENT OF Office ACQUISITIONS - AQM MOMENTUM
General Information
Contract Opportunity Type: Sources Sought (Original)
All Dates/Times are: (UTC-04:00) EASTERN STANDARD TIME, NEW YORK, USA
Original Published Date: Aug 01, 2024 06:06 pm EDT
Original Response Date: Aug 16, 2024 04:00 pm EDT
Inactive Policy: 15 days after response date
Original Inactive Date: Aug 31, 2024
Initiative: None
Classification
Original Set Aside:
Product Service Code: 7A21 - IT AND TELECOM - BUSINESS APPLICATION SOFTWARE (PERPETUAL LICENSE SOFTWARE)
NAICS Code: 541519 - Other Computer Related Services
Place of Performance: Washington, DC 20001 USA
Documents
Tender Notice
Sources-Sought-Notice_Artificial-Intelligence-and-Machine-Learning.pdf