workmatter.Let’s talk

FOR AI TEAMS

Less guesswork.
More real world.

Tell us what your model needs to learn. We’ll explore how business workflows could provide useful, contextual examples for that specific task.

Discuss your data needs

START WITH THE TASK.

Useful data starts
with a better question.

What should the system recognize, decide or do? The answer shapes which records matter, what context is missing and how the examples should be evaluated.

We are pre-launch. Discussing a task begins a scoping conversation; it is not a promise of an available dataset or a particular model-performance gain.

ILLUSTRATIVE TASK / 01

Recognize a quality issue.

Connect an inspection image with the specification, assessment and observed result.

ILLUSTRATIVE TASK / 02

Understand an intervention.

Connect an operational problem with the decision, action and outcome that followed.

ILLUSTRATIVE TASK / 03

Learn from a diagnosis.

Connect a reported symptom with checks, repair notes and subsequent observations.

01

A format shaped around your use case.

Discuss the records and media you need: images, text, structured fields or connected sequences. The illustrative sample below shows one possible structure, not a guaranteed delivery specification.

02

Quality defined before collection.

Agree completeness, consistency, source context, labeling and review requirements. Identify limitations and the conditions under which an example should be excluded.

03

Rights that match the intended use.

Training, evaluation and other uses should be explicitly defined, along with restrictions, retention and any permitted onward use. Availability depends on permissions and agreed license terms.

04

Evaluation before assumptions.

Define the task and acceptance criteria together. Discuss a suitable sample and evaluation approach before committing to a larger collection.

A POSSIBLE SAMPLE STRUCTURE

Context,
connected.

Illustrative format. Media, fields and delivery requirements are agreed for each use case.

Download illustrative JSON
{
  "task": "quality_inspection",
  "situation": "uneven stitching",
  "decision": "check thread tension",
  "action": "adjust; produce sample",
  "result": "inspect against specification",
  "context": [
    "inspection image",
    "operator notes",
    "specification reference"
  ],
  "status": "illustrative"
}

GOOD WORK DESERVES TO GO FURTHER.

What does your model
need to understand?

Start with a task. Build the right brief together.