SEACORP, LLC — Department of Defense SBIR Phase I: N221-033

SEACORP, LLC — SBIR Phase I award from Department of Defense.

Phase I SBIR feasibility signal

  • Phase I awards fund proof-of-concept work. For capture teams, they mark early interest from Department of Defense in a technical approach.
  • Watch for Phase II follow-ons from the same firm/topic family — that conversion path is where budgets and transition pressure rise.
  • Obligated amount $140,000. Cross-check similar awards in the same agency and technology tags for going-rate context.
  • Topic code N221-033 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.

Informational capture context from public federal data — not legal or bid advice.

Amount
$140,000
Agency
Department of Defense · Navy
Program / Phase
SBIR · Phase I
Topic
N221-033
Solicitation
22.1
NAICS
Place of performance
RI
Period
2022-07-25 → 2023-01-23

Description

SEACORP is proposing a multi-mode solution to detect vessels and stationary objects.  The majority of vessels, excluding a sailboat under sail, radiate acoustic sounds which can be exploited for detecting, classifying and localizing these vessels.  To detect vessels, SEACORP will employ a wideband quad hydrophone array running multiple detectors to detect sounds radiating from vessels which include broadband noise, engine and blades as well as active emissions such as fathometers, so even a sail boat under sail can be detected if a fathometer is operating.  To detect stationary objects or anchored vessels, SEACORP will add an active component to the sensor.  Our unique approach, will emulate a marine mammal click to enable the UUV to maintain a covert presence and avoid counter detection.  Detection messages generated from the passive or active array will be passed to the data fusion/ autonomy algorithm to estimate range, bearing, speed and depth.  Using this information, the UUV can be directed to maneuver and/or change depth to avoid a ship strike or impact of a stationary object.   The vessel autonomy algorithm will also direct the UUV to safely maneuver so distant vessels can be localized, thereby improving the overall situational awareness of the UUV.