PrimeRFP SCOUT · Federal Contract Recompete Brief

TECHNICAL WORKFORCE DEVELOPMENT & TRAINING - ARTIFICIAL INTELLIGENCE ENGINEER WORKFORCE DEVELOPMENT

Contract2032L226F00064

TECHNICAL WORKFORCE DEVELOPMENT & TRAINING - ARTIFICIAL INTELLIGENCE ENGINEER WORKFORCE DEVELOPMENT is a federal award for Department of the Treasury (TREAS) held by SMOOTHSTACK, INC. Estimated value $2M ($1M obligated). Current period of performance ends May 27, 2027. Place of performance: MCLEAN VA.

$2M
Estimated Value
$1M
Obligated
May 27, 2027
PoP End / Expires
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AnalysisPublic

SMOOTHSTACK, INC holds $1.1M across 3 federal awards, concentrated at Department of the Treasury (TREAS). Recompete timing centers on the May 27, 2027 PoP end — agencies typically plan 12–18 months ahead.

Contract factsFederal
Contract number2032L226F00064
AgencyDepartment of the Treasury (TREAS)
IncumbentSMOOTHSTACK, INC
CAGE89DN0
UEIYEALULA7ZVC5
NAICS541519
PSCR431
Parent IDIQ / IDV2032L226A00003
Place of performanceMCLEAN VA
Pricing typeFirm Fixed Price
Extent competedFull And Open Competition
PoP startMay 28, 2026
PoP end (current)May 27, 2027
Obligated$1M
Current value$1M
Potential value$2M

TECHNICAL WORKFORCE DEVELOPMENT & TRAINING - ARTIFICIAL INTELLIGENCE ENGINEER WORKFORCE DEVELOPMENT

Recompete timingPublic
Expiring in 304 days

Current PoP ends May 27, 2027 (304 days remaining). Agencies typically plan 12–18 months ahead — position before the PoP clock runs out.

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Incumbent footprintPublic record

SMOOTHSTACK, INC$1.1M obligated across 3 awards (firm-wide, all agencies).

Sole agency: Department of the Treasury (TREAS)
Department of the Treasury (TREAS)$1.1M · 100% of firm total
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Data: 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. Register free to start exploring SCOUT →

Data as of · refreshed monthlyLatest procurement action
Sources: USASpending, FPDS, SAM.gov · Public-record facts + SCOUT analysis shown above; personalized scoring in SCOUT.
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