N0001425C1111↗

Name: N0001425C1111: Develop Initial Maritime Atr Ontology of Military Objects, Apply Deep Learning Algorithms That Can Infer 3D From 2D Sensors Develop Object Tracking Across Non-Overlapping Fields of View Develop Methods to Exploit Computer Vision on Mobile Devices.
Creator: SpendQuery

DEVELOP INITIAL MARITIME ATR ONTOLOGY OF MILITARY OBJECTS, APPLY DEEP LEARNING ALGORITHMS THAT CAN INFER 3D FROM 2D SENSORS DEVELOP OBJECT TRACKING ACROSS NON-OVERLAPPING FIELDS OF VIEW DEVELOP METHODS TO EXPLOIT COMPUTER VISION ON MOBILE DEVICES.

Definitive Contract · Department of the Navy · to Rank One Computing Corporation (UEI J957CC5XMTK7) · data as of 2026-09-30

Obligated to date$7.93M2 actions

Current value$7.93Mwith options exercised

Period2025-03-28 → 2027-06-22current end date

Up for re-bid: ends 2027-06-22. Recompete brief → · ManTech special Broad Agency Announcement (sBAA): Accelerating Maritime Modernization: Innovation in Naval Manufacturing, Sustainment, and Industrial Base Capability ↗

What it is

Product or service: National Defense R&D Services; Department of Defense - Military; Experimental Development (PSC AC13)
Industry: Research and Development in the Physical, Engineering, and Life Sciences (Except Nanotechnology and Biotechnology) (NAICS 541715)
Contracting office: Office of Naval Research (N00014)
Competition: Full and open competition · 999 offers received
Pricing: Firm fixed price
How it was bought: Standalone contract
Where the work is: Denver, CO · district CO-01
Topics: artificial_intelligence

Obligations by fiscal year

FY2025$3.04M

FY2026$4.90M

SpendQuery holds FY2023 on; earlier years are on USAspending.gov.

Subcontractors: where the money went next

No subawards reported for this award. Primes report subawards of $30,000 or more; many awards have none.

Every action

2 actions since 2025-03-28. Each is a modification or amendment with the money it added or took back.

Date	Modification	Kind	Amount	What the agency wrote
2026-06-22	P00001	Option exercised	$4.90M	DEVELOP INITIAL MARITIME ATR ONTOLOGY OF MILITARY OBJECTS, APPLY DEEP LEARNING ALGORITHMS THAT CAN INFER 3D FROM 2D SENSORS DEVELOP OBJECT TRACKING ACROSS NON-OVERLAPPING FIELDS OF VIEW DEVELOP METHODS TO EXPLOIT COMPUTER VISION ON MOBILE DEVICES.
2025-03-28	0		$3.04M	DEVELOP INITIAL MARITIME ATR ONTOLOGY OF MILITARY OBJECTS, APPLY DEEP LEARNING ALGORITHMS THAT CAN INFER 3D FROM 2D SENSORS DEVELOP OBJECT TRACKING ACROSS NON-OVERLAPPING FIELDS OF VIEW DEVELOP METHODS TO EXPLOIT COMPUTER VISION ON MOBILE DEVICES.

Source: USAspending.gov prime award transactions and FSRS subaward reports, as loaded by SpendQuery (data as of 2026-09-30). Amounts are obligations (money committed), not outlays. The official record on USAspending.gov ↗