Federal contract award
140D0422C0002
MACHINE LEARNING FOR OPEN SYSTEMS
Award details
Obligations, current value and potential value describe different measures; they are never added together.
| Field | Reported value |
|---|---|
| Agency | Department of the Interior |
| Office | IBC ACQ SVCS DIRECTORATE (00004) |
| 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 | $13.5M |
| Current contract value | $16.5M |
| Potential contract value / ceiling | $42.7M |
| Start date | Mar 3, 2022 |
| Current end date | Mar 2, 2027 |
| Potential end date | Mar 2, 2027 |
| Latest award activity | Jul 14, 2026 |
| Source loaded | Sep 26, 2026 |
Funding and modification history
Showing the latest 20 of 20 loaded transactions. Negative values are deobligations.
| Date | Modification | Obligation change | Description |
|---|---|---|---|
| Jul 14, 2026 | P00019 | $0 | MACHINE LEARNING FOR OPEN SYSTEMS |
| Apr 22, 2026 | P00018 | $334.0K | MACHINE LEARNING FOR OPEN SYSTEMS |
| Nov 26, 2025 | P00017 | $0 | MACHINE LEARNING FOR OPEN SYSTEMS |
| May 21, 2025 | P00016 | $0 | MACHINE LEARNING FOR OPEN SYSTEMS |
| Apr 7, 2025 | P00015 | $0 | MACHINE LEARNING FOR OPEN SYSTEMS |
| Mar 26, 2025 | P00014 | $1.1M | MACHINE LEARNING FOR OPEN SYSTEMS |
| Jan 29, 2025 | P00013 | $1.2M | MACHINE LEARNING FOR OPEN SYSTEMS |
| Jul 16, 2024 | P00012 | $280.0K | MACHINE LEARNING FOR OPEN SYSTEMS |
| Jun 5, 2024 | P00011 | $28.6K | MACHINE LEARNING FOR OPEN SYSTEMS |
| Apr 12, 2024 | P00010 | $348.6K | MACHINE LEARNING FOR OPEN SYSTEMS |
| Mar 22, 2024 | P00009 | $1.6M | MACHINE LEARNING FOR OPEN SYSTEMS |
| Mar 18, 2024 | P00008 | $0 | MACHINE LEARNING FOR OPEN SYSTEMS |
| Dec 12, 2023 | P00007 | $-6.7K | MACHINE LEARNING FOR OPEN SYSTEMS |
| Jul 10, 2023 | P00006 | $2.4M | MACHINE LEARNING FOR OPEN SYSTEMS |
| Apr 3, 2023 | P00005 | $3.0M | MACHINE LEARNING FOR OPEN SYSTEMS |
| Feb 24, 2023 | P00004 | $1.0M | MACHINE LEARNING FOR OPEN SYSTEMS |
| Sep 9, 2022 | P00003 | $1.6M | MACHINE LEARNING FOR OPEN SYSTEMS |
| Aug 12, 2022 | P00002 | $275.8K | MACHINE LEARNING FOR OPEN SYSTEMS |
| Jun 24, 2022 | P00001 | $214.7K | MACHINE LEARNING FOR OPEN SYSTEMS |
| Mar 3, 2022 | 0 | $143.1K | MACHINE LEARNING FOR OPEN SYSTEMS |
Estimated positioning window
Oct 25, 2026 – Jan 23, 2027
55/100
Why this recompete signal
Contract timing and recorded acquisition signals at the time of calculation.
Stored score: 55/100. Available recorded signals: 50 points.
- Contract end 2027-03-02 (128 days from calculation)
- +35 points
- 1 historical awards in this buyer and category group
- +0 points
- 20 recorded award transactions
- +10 points
- Latest award action: 2026-07-14
- +5 points
- Parent award identifier recorded
- +0 points
- Solicitation identifier recorded
- +0 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.