≈$1.5M DEFINITIVE CONTRACT HQ086023C7118

About $1.48M to Penta Research — the Missile Defense Agency studying AI in scenario planning and design (a number beginning HQ086)

Department of Defense 2023-03-14 〜 2025-03-14

A definitive contract awarded by the Missile Defense Agency, described as research and development on innovative uses of artificial intelligence and machine learning in scenario planning and design. Obligations are about $1,477,911 over two years, from 2023-03-14 to 2025-03-14. It falls in the second stage of small-business funding.

Contract key facts

  • RecipientPENTA RESEARCH INC
  • Contract value$1,477,911 (≈$1.5M)
  • Awarding agencyDepartment of Defense
  • Awarding sub-agencyMissile Defense Agency
  • Award typeDEFINITIVE CONTRACT
  • Period of performance2023-03-14 〜 2025-03-14
  • Contract ID (PIID)HQ086023C7118

Contract scope (original)

SBIR/STTR PHASE II R&D - INNOVATIVE USES OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN SCENARIO PLANNING AND DESIGN

Key points

  • Research and development applying AI and machine learning to scenario planning and design, the work of building assumed storylines.
  • Skewed assumptions skew the conclusions, so this reads as applying AI to the ground on which results are measured.
  • People building assumptions are bound by experience and machines by what they learned, leaving the question of verifying coverage.
  • Of the 222 federal spending records this site holds as of 2026-09-01, 17 carry a contract number beginning HQ.
  • Within the same HQ the following digits separate the buyer, and HQ086 here corresponds to the Missile Defense Agency.
  • A person writing scenarios is pulled by experience; a machine cannot produce what lies outside its training.

1The subject is the assumptions themselves

What the description names is scenario planning and design: the work of building the storylines that set out what might happen.

Training and evaluation alike begin by placing assumptions and measuring judgment or performance on top of them. Skew the assumptions and the conclusions drawn skew with them. This research reads as applying AI not to the side that produces results but to the side that builds the ground on which results are measured.

2What it means for a machine to write the assumptions

When people build assumptions, they are pulled toward the range of their experience. Have a machine build them and combinations nobody thought of may appear, while what lies outside the learned range stays absent just the same.

Both carry limits, so the question of how to verify the coverage of a set of assumptions remains. The record does not describe methods, so how this project answers that cannot be read. What it supports is the frame: research and development addressing scenario planning and design.

3A contract number beginning HQ

Across the 222 federal spending records this site holds as of 2026-09-01, all 155 beginning with a letter were awarded by the Department of Defense. Seventeen begin with HQ, covering Washington Headquarters Services and the Missile Defense Agency.

This contract number begins HQ086, corresponding to the Missile Defense Agency. Within the same HQ the following digits separate the buyer, so the first two characters alone do not pin down the subordinate body. The scheme is layered, and how far it is read changes how fine the information gets. The period runs exactly two years, from 2023-03-14 to 2025-03-14.

4Who writes the scenarios

Having a machine write the scenarios carries limits different from those of a person writing them.

A person writes the scenariosA machine writes the scenarios
Pulled toward the range of experienceCombinations no one would think of may appear
The bias is hard to noticeWhat lies outside the learned range equally fails to appear
Coverage is hard to claimThe question of how to confirm coverage remains

In training and in evaluation alike, a scenario is set first and judgement or performance measured on it. Where the scenario is skewed, so is the conclusion drawn from it. This research reads as putting AI on the side that builds the ground for measurement rather than the side producing results. The record states no method, so how the plan answers that question cannot be read.

Why it matters

The quality of evaluation and training depends heavily on how assumptions are set. An attempt to automate the building of assumptions is always paired with the question of verifying their coverage. Touching the ground on which results are measured can reach further than touching the tools that produce them.

FAQ

What is scenario planning and design?
The work of building storylines setting out what might happen. Training and evaluation place assumptions first and measure judgment or performance on top of them.
What is gained by having a machine build assumptions?
Combinations nobody thought of may appear. What lies outside the learned range stays absent just the same.
What does a number beginning HQ indicate?
The Department of Defense line, with following digits separating the buyer. HQ086 here corresponds to the Missile Defense Agency.

Sources (primary)

This article is an independent organization based on the U.S. official spending data below. Verify the exact, latest details with the official source.

#Federal spending#Contracts#Missile Defense Agency#Scenarios#SBIR
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