Contract facts
UnrestrictedDEVELOPMENT OF ARTIFICIAL INTELLIGENCE & DEEP LEARNING BASED is a federal Unrestricted award for Fa8750 Afrl Rik held by Texas a&M University-Central Texas. Estimated value $2.8M ($2.8M obligated). Current period of performance ends Nov 22, 2027. Last award drew 1 bidder. Place of performance: KILLEEN TX. Related solicitation FA875021S7001.
DEVELOPMENT OF ARTIFICIAL INTELLIGENCE & DEEP LEARNING BASED
Recompete timing
PublicCurrent PoP ends Nov 22, 2027 (421 days remaining). Agencies typically plan 12–18 months ahead — position before the PoP clock runs out.
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Incumbent footprint
Public recordTexas a&M University-Central Texas — $6.6M obligated across 4 awards (firm-wide, all agencies).
Related awards
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Frequently asked questions
What is contract FA875023C0085?
FA875023C0085 (Development of artificial intelligence DEEP) is a Fa8750 Afrl Rik award with a potential value of $2.8M, currently held by Texas a&M University-Central Texas. Figures are USASpending-sourced public-record facts plus SCOUT recompete analysis.
What is FA8750-23-C-0085?
FA8750-23-C-0085 is the dashed form of PIID FA875023C0085 (Development of artificial intelligence DEEP), held by Texas a&M University-Central Texas. Same award — SCOUT canonicalizes compact, dashed, and parent-child identifiers to one brief.
Which office awarded FA875023C0085?
Fa8750 Afrl Rik awarded FA875023C0085 to Texas a&M University-Central Texas (potential $2.8M).
Who is the incumbent on FA875023C0085?
Texas a&M University-Central Texas is the incumbent with $6.6M across 4 related awards in SCOUT’s public footprint. The current period of performance ends Nov 22, 2027.
When does Texas a&M University-Central Texas’s FA875023C0085 come up for recompete?
SCOUT tracks a period-of-performance end of Nov 22, 2027. Actual solicitation timing can shift with extensions, bridges, or consolidations.
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Compare plansData: Showing contracts ≥ $100K from federal procurement records (FPDS-NG, SAM.gov, and related repositories), normalized by PrimeRFP SCOUT. Each row keyed by Award ID (PIID); task orders appear as independent rows.