Federal contract award
75FCMC26C0007
THE PURPOSE OF THIS REQUISITION IS TO TEST THE USE OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES, SUCH AS OPTICAL CHARACTER RECOGNITION (OCR), MACHINE LEARNING (ML), NATURAL LANGUAGE PROCESSING (NLP), AMONG OTHERS, AND THEIR VIABILITY WITH MEDICAL REC
Award details
Obligations, current value and potential value describe different measures; they are never added together.
| Field | Reported value |
|---|---|
| Agency | Department of Health and Human Services |
| Office | OFC OF ACQUISITION AND GRANTS MGMT |
| NAICS | 541519 — Other Computer Related Services |
| PSC | DA01 — Support services for activities involved with application development and support to include analysis, design, development, coding, testing, and release packaging, as well as support of off-the-shelf Business Applications. |
| Parent award / vehicle | Not reported |
| Set-aside | NO SET ASIDE USED. |
| Pricing type | FIRM FIXED PRICE |
| Obligations | $2.3M |
| Current contract value | $2.3M |
| Potential contract value / ceiling | $4.3M |
| Start date | Mar 1, 2026 |
| Current end date | Feb 28, 2027 |
| Potential end date | Feb 29, 2028 |
| Latest award activity | Aug 18, 2026 |
| Source loaded | Sep 26, 2026 |
Funding and modification history
Showing the latest 5 of 5 loaded transactions. Negative values are deobligations.
| Date | Modification | Obligation change | Description |
|---|---|---|---|
| Aug 18, 2026 | P00004 | $0 | THE PURPOSE OF THIS REQUISITION IS TO TEST THE USE OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES, SUCH AS OPTICAL CHARACTER RECOGNITION (OCR), MACHINE LEARNING (ML), NATURAL LANGUAGE PROCESSING (NLP), AMONG OTHERS, AND THEIR VIABILITY WITH MEDICAL REC |
| Aug 17, 2026 | P00003 | $0 | THE PURPOSE OF THIS REQUISITION IS TO TEST THE USE OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES, SUCH AS OPTICAL CHARACTER RECOGNITION (OCR), MACHINE LEARNING (ML), NATURAL LANGUAGE PROCESSING (NLP), AMONG OTHERS, AND THEIR VIABILITY WITH MEDICAL REC |
| Apr 28, 2026 | P00002 | $0 | THE PURPOSE OF THIS REQUISITION IS TO TEST THE USE OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES, SUCH AS OPTICAL CHARACTER RECOGNITION (OCR), MACHINE LEARNING (ML), NATURAL LANGUAGE PROCESSING (NLP), AMONG OTHERS, AND THEIR VIABILITY WITH MEDICAL REC |
| Mar 11, 2026 | P00001 | $0 | THE PURPOSE OF THIS REQUISITION IS TO TEST THE USE OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES, SUCH AS OPTICAL CHARACTER RECOGNITION (OCR), MACHINE LEARNING (ML), NATURAL LANGUAGE PROCESSING (NLP), AMONG OTHERS, AND THEIR VIABILITY WITH MEDICAL REC |
| Feb 27, 2026 | 0 | $2.3M | THE PURPOSE OF THIS REQUISITION IS TO TEST THE USE OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES, SUCH AS OPTICAL CHARACTER RECOGNITION (OCR), MACHINE LEARNING (ML), NATURAL LANGUAGE PROCESSING (NLP), AMONG OTHERS, AND THEIR VIABILITY WITH MEDICAL REC |
Estimated positioning window
Feb 28, 2027 – Aug 29, 2027
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 2028-02-29 (492 days from calculation)
- +25 points
- 43 historical awards in this buyer and category group
- +15 points
- 5 recorded award transactions
- +10 points
- Latest award action: 2026-08-18
- +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.
- 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.