Contract facts
Small businessTHE PROPOSED D2P2 SOLUTION AIMS TO STRATEGICALLY ALIGN WITH KEY FOCUS AREAS ESSENTIAL FOR ADVANCING SPACE CAPABILITIES WITHIN THE PWSA. is a federal Small business award for Fa2541 Ssc Comrcl Svs Ofc Ssc Cmk held by Data Fusion & Neural Networks, LLC. Estimated value $1.9M ($1.9M obligated). Current period of performance ends Jul 24, 2027. Last award drew 76 bidders. Place of performance: BOUNTIFUL UT.
THE PROPOSED D2P2 SOLUTION AIMS TO STRATEGICALLY ALIGN WITH KEY FOCUS AREAS ESSENTIAL FOR ADVANCING SPACE CAPABILITIES WITHIN THE PWSA.
Recompete timing
PublicCurrent PoP ends Jul 24, 2027 (300 days remaining). Agencies typically plan 12–18 months ahead — at 9.9 months out, that window is already open. The buying decision is likely already in motion.
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Incumbent footprint
Public recordData Fusion & Neural Networks, LLC — $3.6M obligated across 6 awards (firm-wide, all agencies).
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Frequently asked questions
What is contract FA254125CB087?
FA254125CB087 (Proposed d2p2 solution AIMS to strategically) is a Fa2541 Ssc Comrcl Svs Ofc Ssc Cmk award with a potential value of $1.9M, currently held by Data Fusion & Neural Networks, LLC. Figures are USASpending-sourced public-record facts plus SCOUT recompete analysis.
Which office awarded FA254125CB087?
Fa2541 Ssc Comrcl Svs Ofc Ssc Cmk awarded FA254125CB087 to Data Fusion & Neural Networks, LLC (potential $1.9M).
Who is the incumbent on FA254125CB087?
Data Fusion & Neural Networks, LLC is the incumbent with $3.6M across 6 related awards in SCOUT’s public footprint. The current period of performance ends Jul 24, 2027.
When does Data Fusion & Neural Networks, LLC’s FA254125CB087 come up for recompete?
SCOUT tracks a period-of-performance end of Jul 24, 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.