IERUS TECHNOLOGIES INC — Department of Defense SBIR Phase II: A20-117

IERUS TECHNOLOGIES INC — SBIR Phase II award from Department of Defense.

Phase II SBIR prototype / development signal

  • Phase II is where Department of Defense funds deeper R&D after feasibility. Incumbents with Phase II history are serious competitors on adjacent topics.
  • Use this award as past-performance context and to map customer organizations for STRATFI/TACFI-style transition planning.
  • At $1,518,000, this is a large obligation for typical SBIR Phase sizing — worth reviewing for scope breadth and teaming opportunity.
  • Topic code A20-117 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
$1,518,000
Agency
Department of Defense · Special Operations Command
Program / Phase
SBIR · Phase II
Topic
A20-117
Solicitation
20.2
NAICS
Place of performance
AL
Period
2023-09-28 → 2025-01-30

Description

Photon-X and Pilot AI will assess the feasibility of building a rangefinder that uses object shapes and Artificial Intelligence (AI) to better detect objects and estimate their range. The project will combine novel shape-sensing imaging technology with edge-optimized AI algorithms that can run on a small, battery-powered device. The key tasks of the project will be: Validate that a computer vision AI model can be trained on the novel sensor data. 1. Investigate mechanisms for estimating range of objects using data from novel sensor. 2. Identify full list of system components needed to build a functional prototype rangefinder, evaluate and recommend top candidates for each component. 3. Characterize estimated system performance (e.g., range finding accuracy and battery life) based on output from tasks 1, 2, and 3. 4. This feasibility will build upon Photon-X’s and Pilot AI’s lengthy track records in key project areas, including cost-effective shape-sensing imagers that leverage traditional sensor technologies, and edge-optimized AI that has been deployed across millions of commercial electronic devices with similar Size, Weight, and Power (SWaP) constraints as this project’s target device specifications.