FTL LABS CORP — Department of Defense SBIR Phase I: N224-129

FTL LABS CORP — 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 $246,436. Cross-check similar awards in the same agency and technology tags for going-rate context.
  • Topic code N224-129 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
$246,436
Agency
Department of Defense · Navy
Program / Phase
SBIR · Phase I
Topic
N224-129
Solicitation
22.4
NAICS
Place of performance
MA
Period
2022-12-28 → 2024-02-08

Description

FTL’s SHR3DR (Sub-seafloor High Resolution 3D Reconstruction) is a specialized geophone-based sensor and processing system that simplifies the evaluation of salt-saturated sediments and other structural configurations typical of waterfront facilities, achieving 80 feet of penetration below the mudline in water depths to 90 feet. It applies AI/ML analysis of seismograph data, to assist in determining morphology, location, and dimension of subterranean voids and structures for Port Damage Repair (PDR) operations, including Port/Harbor/Shipyard assessment, performed by several Navy organizations (NECC, UCT, NMCB). SHR3DR enables the inspection of waterfront facilities ( including piers, wharfs, relieving-platforms, other shipyard structures) for voids (structural and soil), structures (piles, pile-caps, beams, deck), and stability (load capacity, limits). Working closely with established manufacturers of seismic surveying equipment, SHR3DR will be a Government-off-the-shelf (GOTS) and commercial product that enables nondestructive investigation (classification, quantification, location, dimension) of sub-seafloor structures, voids, and construction patterns. It leverages FTL’s 2D and 3D computer vision and machine learning pipeline developed for automated inspection of Navy piers. It combines cutting-edge seismic imaging hardware with mature geotechnical investigation approaches to provide unique 3D awareness around and below shoreline facilities.