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RFP opportunitySolicitation DON27TZ02-NV002

Field-Friendly Super Intelligence and Machine Learning Systems Development

Submission deadlineJan 6, 2027See documents for time and submission instructions
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About this opportunity

AI summary

The buyer seeks field-friendly super intelligence and machine learning (SI/ML) systems that match the accuracy of modern deep neural networks while resolving key limitations. The proposed solution must quantitatively optimize resource utilization, provide transparent logic compliant with auditing standards, deliver reliable confidence metrics, and operate efficiently on edge hardware or mixed CPU-GPU environments. Proposers must demonstrate extensibility to transformer-based and multimodal models. Eligibility is limited to onshore United States organizations, and proposers must demonstrate a strong partnership between a small business and a research institution under this STTR topic. Applicants will perform work offsite and submit responses digitally via email or online.

Buyer and opportunity details

Client
Washington, DC
Solicitation No.
DON27TZ02-NV002

Scope of work

  • Develop a minimal complexity model design and conduct a feasibility study on core image classification challenges
  • Prepare a final Phase I report on design and experimental results and a Phase II plan
  • Develop, test, and provide an optimal minimal complexity model prototype across specified metric benchmarks
  • Provide metrics and implementation details for extensibility to transformers and multimodality scenarios including LLMs and VLMs
  • Prepare a Phase II testing report and a Phase III commercialization and transition plan
  • Generalize prototype model to transformers and convert to an industry-friendly replicable form in Phase III
  • Evaluate system on industry-grade large datasets of large images across very large numbers of classes
  • Deliver final model prototype and report containing designs and testing data

How proposals are evaluated

CriterionWeight / scoring
Number of targets achieved and viability of engineering trade-offsNot specified

Minimum qualifications

  • Projected CMMC Level 2 (Self) requirement
  • Strong partnership between the small business and a research institution

Documents to include with your response

  • Phase I design and experimental results report
  • Phase II plan
  • Phase II testing report with designs and results
  • Phase III commercialization/transition plan
  • Phase III final model prototype report containing designs and testing data

Contract details

Set-aside / preference
STTR
Funding
STTR
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