Federal contract award
N0001424C1128
KUDO DYNAMICS, LLC WILL DEVELOP OF ANALYSIS TOOLS, BENCHMARK TEST SUITES, AND ADVANCED CAPABILITIES THAT WILL ASSESS AND ENABLE THE RESILIENCY OF DATA, ALGORITHMS, AND CYBER FEATURES IN SYSTEMS AND PLATFORMS TO BE IDENTIFIED BY THE GOVERNMENT.
Award details
Obligations, current value and potential value describe different measures; they are never added together.
| Field | Reported value |
|---|---|
| Agency | Department of Defense |
| Office | OFFICE OF NAVAL RESEARCH |
| NAICS | 541715 — Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology) |
| PSC | AC13 — NATIONAL DEFENSE R&D SERVICES; DEPARTMENT OF DEFENSE - MILITARY; EXPERIMENTAL DEVELOPMENT |
| Parent award / vehicle | Not reported |
| Set-aside | NO SET ASIDE USED. |
| Pricing type | COST PLUS FIXED FEE |
| Obligations | $2.4M |
| Current contract value | $5.9M |
| Potential contract value / ceiling | $5.9M |
| Start date | Apr 10, 2024 |
| Current end date | Sep 18, 2029 |
| Potential end date | Sep 18, 2029 |
| Latest award activity | Apr 9, 2026 |
| Source loaded | Sep 19, 2026 |
Funding and modification history
Showing the latest 6 of 6 loaded transactions. Negative values are deobligations.
| Date | Modification | Obligation change | Description |
|---|---|---|---|
| Apr 9, 2026 | P00009 | $414.6K | OBJECTIVE IS TO BUILD A TOOLSET THAT ALLOWS FOR QUANTITATIVE MEASUREMENT OF THE RESILIENCE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING (AI/ML) ALGORITHMS AGAINST COMMON ADVERSARIAL ATTACKS. |
| Dec 4, 2025 | P00008 | $375.0K | OBJECTIVE IS TO BUILD A TOOLSET THAT ALLOWS FOR QUANTITATIVE MEASUREMENT OF THE RESILIENCE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING (AI/ML) ALGORITHMS AGAINST COMMON ADVERSARIAL ATTACKS. |
| Sep 22, 2025 | P00007 | $267.2K | OBJECTIVE IS TO BUILD A TOOLSET THAT ALLOWS FOR QUANTITATIVE MEASUREMENT OF THE RESILIENCE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING (AI/ML) ALGORITHMS AGAINST COMMON ADVERSARIAL ATTACKS. |
| Jul 7, 2025 | P00006 | $95.0K | OBJECTIVE IS TO BUILD A TOOLSET THAT ALLOWS FOR QUANTITATIVE MEASUREMENT OF THE RESILIENCE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING (AI/ML) ALGORITHMS AGAINST COMMON ADVERSARIAL ATTACKS. |
| Apr 10, 2025 | P00005 | $300.0K | OBJECTIVE IS TO BUILD A TOOLSET THAT ALLOWS FOR QUANTITATIVE MEASUREMENT OF THE RESILIENCE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING (AI/ML) ALGORITHMS AGAINST COMMON ADVERSARIAL ATTACKS. |
| Dec 18, 2024 | P00004 | $155.0K | PURPLE PENGUIN |
Estimated positioning window
Sep 18, 2028 – Mar 18, 2029
60/100
Why this recompete signal
Contract timing and recorded acquisition signals at the time of calculation.
Stored score: 60/100. Available recorded signals: 55 points.
- Contract end 2029-09-18 (1059 days from calculation)
- +15 points
- 199 historical awards in this buyer and category group
- +15 points
- 6 recorded award transactions
- +10 points
- Latest award action: 2026-04-09
- +5 points
- Parent award identifier recorded
- +0 points
- Solicitation identifier recorded
- +10 points
- Linked official forecast
- +0 points
- Calculated on
- 2026-10-25 10:18:04.631876+00:00
The historical group combines buyer, NAICS, and PSC. Multiple awards in this group do not by themselves establish repeated competitions.
Rule-based research score; it does not measure your chance of winning.
This older calculation does not retain a complete reproducible breakdown. Missing or changed inputs are not assigned invented points: Original award-value bonus input.
Recompete score calculated Oct 25, 2026.
Research next steps
- Check the linked forecast or SAM for a confirmed solicitation and current timing.
- Check the stated set-aside against the solicitation and current certifications.
- Review the award scope and buyer evidence before making a bid/no-bid decision.