Federal contract award
W912CG25C0013
COLUMBIA UNIVERSITY PROPOSES TO DEVELOP A NEW ANALOG NNS THAT COULD INTERFACE DIRECTLY WITH THE ANALOG OUTPUTS OF CONVENTIONAL SENSORS AND DEMONSTRATE A THREE-ORDERS OF-MAGNITUDE POWER REDUCTION OVER EXISTING SOLUTIONS.
Award details
Obligations, current value and potential value describe different measures; they are never added together.
| Field | Reported value |
|---|---|
| Agency | Department of Defense |
| Office | W6QK ACC CCDC STTC |
| NAICS | 541715 — Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology) |
| PSC | AJ11 — GENERAL SCIENCE AND TECHNOLOGY R&D SERVICES; GENERAL SCIENCE AND TECHNOLOGY; BASIC RESEARCH |
| Parent award / vehicle | Not reported |
| Set-aside | NO SET ASIDE USED. |
| Pricing type | COST NO FEE |
| Obligations | $1.4M |
| Current contract value | $1.4M |
| Potential contract value / ceiling | $5.5M |
| Start date | Apr 28, 2025 |
| Current end date | Aug 28, 2026 |
| Potential end date | Oct 28, 2029 |
| Latest award activity | Jun 3, 2026 |
| Source loaded | Sep 26, 2026 |
Funding and modification history
Showing the latest 7 of 7 loaded transactions. Negative values are deobligations.
| Date | Modification | Obligation change | Description |
|---|---|---|---|
| Jun 3, 2026 | P00006 | $0 | DARPA BAA TITLED ELWOOD: LARGE-SCALE ANALOG NEURAL NETWORK PROCESSOR AND MACHINE LEARNING MODELS |
| Feb 25, 2026 | P00005 | $373.2K | DARPA BAA TITLED ELWOOD: LARGE-SCALE ANALOG NEURAL NETWORK PROCESSOR AND MACHINE LEARNING MODELS |
| Jan 22, 2026 | P00004 | $0 | DARPA BAA TITLED ELWOOD: LARGE-SCALE ANALOG NEURAL NETWORK PROCESSOR AND MACHINE LEARNING MODELS |
| Dec 8, 2025 | P00003 | $83.2K | DARPA BAA TITLED ELWOOD: LARGE-SCALE ANALOG NEURAL NETWORK PROCESSOR AND MACHINE LEARNING MODELS |
| Jul 23, 2025 | P00002 | $0 | DARPA BAA TITLED ELWOOD: LARGE-SCALE ANALOG NEURAL NETWORK PROCESSOR AND MACHINE LEARNING MODELS |
| May 28, 2025 | P00001 | $940.4K | INCREMENTAL FUND AND OTHER ADMINISTRATIVE ACTIONS TO DARPA BAA TITLED ELWOOD: LARGE-SCALE ANALOG NEURAL NETWORK PROCESSOR AND MACHINE LEARNING MODELS |
| May 5, 2025 | 0 | $0 | COLUMBIA UNIVERSITY PROPOSES TO DEVELOP A NEW ANALOG NNS THAT COULD INTERFACE DIRECTLY WITH THE ANALOG OUTPUTS OF CONVENTIONAL SENSORS AND DEMONSTRATE A THREE-ORDERS OF-MAGNITUDE POWER REDUCTION OVER EXISTING SOLUTIONS. |
Estimated positioning window
Oct 28, 2028 – Apr 28, 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 2029-10-28 (1092 days from calculation)
- +15 points
- 71 historical awards in this buyer and category group
- +15 points
- 7 recorded award transactions
- +10 points
- Latest award action: 2026-06-03
- +5 points
- Parent award identifier recorded
- +0 points
- Solicitation identifier recorded
- +10 points
- Linked official forecast
- +0 points
- Calculated on
- 2026-11-01 10:17:53.997580+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 Nov 1, 2026.
Research next steps
- Check the linked forecast or SAM for a confirmed solicitation and current timing.
- Verify whether remaining options may extend performance beyond the current end date.
- 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.