Compositional Learningandreasoning for Ai Complex Systems Tender
Notice for Compositional Learningandreasoning for Ai Complex Systems Engineering Clara in USA. The reference ID of the tender is 135522756 and it is closing on 10 Apr 2026.
Tender Details
- Country: USA
- Summary: Compositional Learningandreasoning for Ai Complex Systems Engineering Clara
- UST Ref No: 135522756
- Deadline: 10 Apr 2026
- Financier: Self Financed
- Purchaser Ownership: Government
- Tender Value: Refer Document
- Notice Type: Tender
- Document Ref. No.: DARPA-PA-25-07-02
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- Description:
- The Defense Advanced Research Projects Agency (DARPA) Defense Sciences Office (DSO) is issuing a Disruption Opportunity (DO), inviting submissions of innovative basic or applied research concepts in the technical domain of high assurance artificial intelligence systems. This DO is issued under the Program Announcement for Disruptioneering, DARPA-PA-25-07. All awards will be made in the form of an Other Transaction (OT) for Prototype project. The total award value for the combined Phase 1 base (Feasibility Study) and Phase 2 option (Proof of Concept) is limited to $2,000,000. This total award value includes Government funding and performer cost share if required or proposed.
- Documents:
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CLICK HERE TO LOGINCompositional Learningandreasoning for Ai Complex Systems Engineering Clara - USA Tender
The DEPT OF DEFENSE | DEFENSE ADVANCED RESEARCH PROJECTS AGENCY (DARPA), a Government sector organization in USA, has announced a new tender for Compositional Learningandreasoning for Ai Complex Systems Engineering Clara. This tender is published on USARFP under UST Ref No: 135522756 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2026-04-10.
The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.
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