Federal Awards · REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE · Award

PROVABLY CORRECT DESIGN OF ADAPTIVE HYBRID NEURO-SYMBOLIC CYBER PHYSICAL SYSTEMS

Award details are derived from public USAspending.gov records linked to this contractor. Not a bid recommendation.

Award details

Award ID
FA875023C0080
Awarding agency
Department of Defense
Sub-agency / office
Department of the Air Force
Award amount
$4,236,970
Period of performance
Jun 30, 2023 – Aug 30, 2027
Place of performance
CHANTILLY, VA, 201514206, USA
Competition
FULL AND OPEN COMPETITION · Set-aside: NO SET ASIDE USED. · 46 offers
Pricing
COST NO FEE
Financial breakdown
Current value $5,398,530 · Obligated $3,964,436 · Potential value $5,398,530 · Latest action obligation $554,059

Public award description

PROVABLY CORRECT DESIGN OF ADAPTIVE HYBRID NEURO-SYMBOLIC CYBER PHYSICAL SYSTEMS

Most recent · Modification P00009 · Jul 9, 2025 · $554,059 action obligation · PROVABLY CORRECT DESIGN OF ADAPTIVE HYBRID NEURO-SYMBOLIC CYBER PHYSICAL SYSTEMS · FA875023C0080

Modification P00008 · Jun 16, 2025 · $350,000 action obligation · ASSURED NEURO SYMBOLIC LEARNING AND REASONING (ANSR) · FA875023C0080

Modification P00007 · Apr 2, 2025 · $0 action obligation · ASSURED NEURO SYMBOLIC LEARNING AND REASONING (ANSR) · FA875023C0080

Modification P00006 · Feb 7, 2025 · $400,000 action obligation · ASSURED NEURO SYMBOLIC LEARNING AND REASONING (ANSR) · FA875023C0080

Modification P00005 · Nov 20, 2024 · $250,000 action obligation · ASSURED NEURO SYMBOLIC LEARNING AND REASONING · FA875023C0080

Source: USAspending.gov

Related intelligence

Related Federal Awards

  • Same contractor · FA865023C7311 — REAL QUANTUM INSPIRED CLASSICAL COMPUTING · REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE · Department of Defense · $3,543,254
  • Same contractor · HR001125CE031 — MICROSYSTEMS INDUCED CATALYSIS (MICA) · REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE · Department of Defense · $3,077,211
  • Same contractor · 80GSFC21CA003 — REMOVAL OF CLAUSES IAW E.O.S 14148,14057, 14173 AND 14168 - UCB SHALL BE DIRECTLY RESPONSIBLE FOR THE CONDU… · REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE · National Aeronautics and Space Administration · $1,799,093
  • Same contractor · W912HQ20C0044 — Federal award — Department of Defense · REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE · Department of Defense · $1,516,195
  • Same contractor · W912HQ24C0014 — AWARD OF SERDP PROJECT ER23-3827 "ASSESSMENT OF PHYSICAL, CHEMICAL, AND BIOLOGICAL FACTORS CONTROLLING BIOT… · REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE · Department of Defense · $1,286,855
  • Same contractor · 75D30122C14710 — EVALUATING ROBUST STANDARDIZABLE METHODS FOR WASTEWATER SURVEILLANCE OF PATHOGENS AND ANTIBIOTIC RESISTANCE · Department of Health and Human Services · $1,104,069

Browse federal awards · Browse contractors

Recompete monitoring

Awards approaching a documented period-of-performance end date. Related forecasts or opportunities are linked only when explicit references or strong deterministic signals match — expiration alone is not a confirmed recompete.

Period ends
Aug 30, 2027 (311 days)
Evidence status
OPPORTUNITY IDENTIFIED
Evidence score
50 (deterministic, not pWin)
Opportunity evidence
Matched opportunity

Supporting evidence

  • FACT: Award period end date — 2027-08-30
  • FACT: Award start date — 2023-06-30
  • DERIVED: Days until period end — 311
  • FACT: Award recipient (incumbent on this award) — REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE
  • FACT: Awarding agency — Department of Defense
  • FACT: Award amount (obligated/total as stored) — 4236970

Analyze in CaptureIQ (tenant recompete watch uses your workspace data separately).

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.