≈$1.8M DEFINITIVE CONTRACT FA875026CB005

About $1.80M to Cohere Solutions — evaluating the strategies behind what is trained on, taking data rather than the model as the subject

Department of Defense 2026-04-07 〜 2028-04-07

A definitive contract awarded by the Air Force. The description covers evaluating data strategies in training AI solutions for space command and control. The subject is the policy on what to train on rather than the design of a model. Obligations are about $1,799,804 over two years, from 2026-04-07 to 2028-04-07.

Contract key facts

  • RecipientCOHERE SOLUTIONS LLC
  • Contract value$1,799,804 (≈$1.8M)
  • Awarding agencyDepartment of Defense
  • Awarding sub-agencyDepartment of the Air Force
  • Award typeDEFINITIVE CONTRACT
  • Period of performance2026-04-07 〜 2028-04-07
  • Contract ID (PIID)FA875026CB005

Contract scope (original)

EVALUATING DATA STRATEGIES IN TRAINING ARTIFICIAL INTELLIGENCE (AI) SOLUTIONS FOR SPACE COMMAND AND CONTROL (C2)

Key points

  • The subject of evaluation is not the performance of a model but the strategy behind the data used to train it.
  • The same model behaves differently on different material, and the source of a performance difference is hard to separate from outside.
  • The domain is space command and control, where means of observation are limited and material from actual events is scarce.
  • The question of what to train on can itself set the ceiling on performance.
  • Across the 222 federal spending records this site holds as of 2026-09-01, outlays are zero on 155, positive on 66 and negative on one.
  • The object of evaluation is the training data strategy rather than model performance, separating where a difference comes from.

1The subject of evaluation is on the data side

What the description names is not the performance of a model but the strategy behind the data used to train it: what to gather, how to select it, in what order to learn from it.

The same model behaves differently on different material. Whether a difference in performance comes from the design of the model or from how data was chosen is hard to separate from outside. Evaluating the data side independently reads as taking on that separation.

2Space command and control as the domain

The domain named is space command and control. Unlike land or sea, means of observation are limited and the objects move under physical law, while situations change quickly.

In such a domain, material obtained from actual events is scarce. The question of what to train on can itself set the ceiling on performance. Placing data strategy at the centre of evaluation reads as built on that constraint. The record does not describe specific methods or criteria.

3What the record supports

What can be read is that the Air Force awarded it, who the recipient is, that obligations are about $1,799,804, that the period runs two years from 2026-04-07 to 2028-04-07, and that the subject of evaluation is the data strategy in training.

Across the 222 federal spending records this site holds as of 2026-09-01, outlays are zero on 155, positive on 66 and negative on one. This record sits at zero, and little time has passed since it began. Gauging progress from the outlay figure is not possible at this stage.

4The model side, or the data side

Evaluating the same AI, the question changes with which side is taken as the object. This contract takes the second.

Evaluating the model sideEvaluating the data side (this contract)
Asks about design and structureAsks what is gathered, how it is chosen, in what order it is learned
Comparable in performance figuresMakes the strategy itself the object of evaluation
Assumes differences come from designSets out to separate differences arising from the choice of data

The same model behaves differently on different training material. Whether a difference in performance comes from the design of the model or from the choice of data is hard to separate from outside. Space command and control, named as the domain, yields little material from actual events, so what is chosen as training material can itself set the limit on performance.

Why it matters

Discussion of performance gathers around models, while in practice what was trained on often decides the result. Evaluating the data side independently is an attempt to separate the sources of a difference. The scarcer actual events are in a domain, the more the choice of material sets the ceiling.

FAQ

What is a data strategy?
The policy on what to gather, how to select it and in what order to learn from it. This contract takes its quality as the subject of evaluation.
Why evaluate data rather than the model?
The record gives no reason. That the same model behaves differently on different material implies a need to separate the two.
Are the criteria set?
The record does not describe specific methods or criteria.

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#Air Force#Training data#Evaluation
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