Federal contract award
FA945320C0042
UNM COSMIAC MACHINE LEARNING TOOLSET
Award details
Obligations, current value and potential value describe different measures; they are never added together.
| Field | Reported value |
|---|---|
| Agency | Department of Defense |
| Office | FA9453 AFRL RVK |
| NAICS | 541715 — Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology) |
| PSC | AC22 — NATIONAL DEFENSE R&D SERVICES; ATOMIC ENERGY DEFENSE ACTIVITIES; APPLIED RESEARCH |
| Parent award / vehicle | Not reported |
| Set-aside | NO SET ASIDE USED. |
| Pricing type | COST NO FEE |
| Obligations | $4.9M |
| Current contract value | $5.5M |
| Potential contract value / ceiling | $5.5M |
| Start date | Sep 15, 2020 |
| Current end date | Mar 16, 2026 |
| Potential end date | Mar 16, 2026 |
| Latest award activity | Sep 8, 2025 |
| Source loaded | Aug 15, 2026 |
Funding and modification history
Showing the latest 23 of 23 loaded transactions. Negative values are deobligations.
| Date | Modification | Obligation change | Description |
|---|---|---|---|
| Sep 8, 2025 | P00022 | $170.9K | FUNDING TO BUILD A MACHINE LEARNING TOOLSET TO SPEED UP THE RESPONSE TIME TO ADVERSARY SATELLITE NAVIGATION COUNTERMEASURES |
| Jun 13, 2025 | P00021 | $240.0K | FUNDING TO BUILD A MACHINE LEARNING TOOLSET TO SPEED UP THE RESPONSE TIME TO ADVERSARY SATELLITE NAVIGATION COUNTERMEASURES. |
| May 22, 2025 | P00020 | $60.0K | FUNDING TO BUILD A MACHINE LEARNING TOOLSET TO SPEED UP THE RESPONSE TIME TO ADVERSARY SATELLITE NAVIGATION COUNTERMEASURES |
| Mar 5, 2025 | P00019 | $200.0K | FUNDING TO BUILD A MACHINE LEARNING TOOLSET TO SPEED UP THE RESPONSE TIME TO ADVERSARY SATELLITE NAVIGATION COUNTERMEASURES. |
| Feb 25, 2025 | P00018 | $0 | 6 MONTH NCE-COSMIAC MACHINE LEARNING TECHNOLOGIES. FUNDING TO BUILD A MACHINE LEARNING TOOLSET TO SPEED UP THE RESPONSE TIME TO ADVERSARY SATELLITE NAVIGATION COUNTERMEASURES. |
| Dec 2, 2024 | P00017 | $140.7K | FUNDING TO BUILD A MACHINE LEARNING TOOLSET TO SPEED UP THE RESPONSE TIME TO ADVERSARY SATELLITE NAVIGATION COUNTERMEASURES. |
| May 23, 2024 | P00016 | $405.7K | FUNDING TO BUILD A MACHINE LEARNING TOOLSET TO SPEED UP THE RESPONSE TIME TO ADVERSARY SATELLITE NAVIGATION COUNTERMEASURES. |
| Apr 18, 2024 | P00015 | $0 | BUILD A MACHINE LEARNING TOOLSET TO SPEED UP THE RESPONSE TIME TO ADVERSARY SATELLITE NAVIGATION COUNTERMEASURES. |
| Feb 26, 2024 | P00014 | $300.0K | BUILD A MACHINE LEARNING TOOLSET TO SPEED UP THE RESPONSE TIME TO ADVERSARY SATELLITE NAVIGATION COUNTERMEASURES. |
| Dec 21, 2023 | P00013 | $300.0K | MACHINE LEARNING TOOLSET TO SPEED UP THE RESPONSE TIME TO ADVERSARY SATELLITE NAVIGATION COUNTERMEASURES. |
| Sep 14, 2023 | P00012 | $100.0K | COSMIAC MACHINE LEARNING TOOLSET |
| Jul 13, 2023 | P00011 | $150.0K | COSMIAC MACHINE LEARNING TOOLSET |
| May 23, 2023 | P00010 | $300.0K | THE SCOPE OF THIS PROPOSED CONTRACT ENCOMPASSES (1) PROTOTYPE DEVELOPMENT, (2) COMPONENT TECHNOLOGY DEVELOPMENT AND TESTING, AND (3) ADVANCED RESEARCH AND TECHNOLOGY DEMONSTRATIONS. |
| Mar 15, 2023 | P00009 | $56.0K | THE SCOPE OF THIS PROPOSED CONTRACT ENCOMPASSES (1) PROTOTYPE DEVELOPMENT, (2) COMPONENT TECHNOLOGY DEVELOPMENT AND TESTING, AND (3) ADVANCED RESEARCH AND TECHNOLOGY DEMONSTRATIONS. |
| Sep 28, 2022 | P00008 | $52.0K | IF- COSMIAC MACHINE LEARNING TOOLSET |
| Aug 29, 2022 | P00007 | $800.0K | INCREMENTAL FUNDING MOD -- MACHINE LEARNING TOOLSET (MLT) PROGRAM |
| Jul 26, 2022 | P00006 | $15.0K | MACHINE LEARNING TOOLSET (MLT) |
| May 23, 2022 | P00005 | $320.0K | IF- UNM COSMIAC MACHINE LEARNING |
| Feb 16, 2022 | P00004 | $250.0K | IF- UNM COSMIAC MACHINE LEARNING TOOLSET |
| Jun 10, 2021 | P00003 | $165.1K | IF - COSMIAC |
| Apr 7, 2021 | P00002 | $375.0K | IF - UNM COSMIAC MACHINE LEARNING TOOLSET |
| Jan 29, 2021 | P00001 | $250.0K | IF - UNM COSMIAC MACHINE LEARNING TOOLSET |
| Sep 15, 2020 | 0 | $200.0K | UNM COSMIAC MACHINE LEARNING TOOLSET |
Research next steps
- 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.