4042 AI LLC — Department of Defense SBIR Phase I: A20-115

4042 AI 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 $53,207. Cross-check similar awards in the same agency and technology tags for going-rate context.
  • Topic code A20-115 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
$53,207
Agency
Department of Defense · Army
Program / Phase
SBIR · Phase I
Topic
A20-115
Solicitation
20.2
NAICS
Place of performance
WY
Period
2020-11-02 → 2021-07-05

Description

System of Systems Analysis Tool (SoSAT), developed by Sandia National Laboratories, is a government-owned software package (GOTS)  with System-of-Systems modeling and simulation capabilities.  Tuning its model parameters depend on less adaptable and manual methods and are subject to human error (operator error) with a limited availability of skilled/trained analysts/engineers familiar with SoSAT.  4042 AI in partnership with Systecon, proposes a prototype that combines the world class Opus Suite Software with the applied methodology of 4042’s Artificial Intelligence (AI) and machine learning (ML) algorithms to solve and provide real-time computational intelligence that optimizes Army logistics and sustainment simulations and predictions for both legacy and future Army missile assets, missile systems, and related system-of-systems.  The Phase I prototype will integrate with and improve the decision making information capability available vs SoSAT used as a stand alone system and will be designed with the ability to automate the continual improvement of model parameters through the use of Tactical Augmented Optimization (TAO) and Hyper-tuning.