Facts and suggestions
Distinguish source facts from inferred attributes. Keep evidence beside recommendations and avoid filling missing details with confident guesses.
Applied AI & automation
Intelligence inside
a working process.
Our research connects models to real inputs, durable records, and human decisions. We focus on what happens around a model call: evidence, review, partial results, and recovery when a stage fails.
01 / AI-assisted records
From a photograph
to a useful draft.
A private image becomes input to an identification worker, which proposes structured attributes before a separate research stage gathers supporting information. The owner reviews the draft and supplies facts that a photograph cannot establish.
Progress and incomplete attempts stay visible. Unknown brands or specifications remain unset, while owner corrections and selected prices retain priority over later suggestions.
See the complete integration
What we evaluate
The whole job matters.
So does the manual path.
A model’s output is one part of the result. The surrounding workflow determines whether it helps the person using the system.
Stage outcomes
Track identification and research separately, including failure, retry, and partial completion. Make usage and job progress visible to the operator.
Human control
Let the owner edit, choose a price, and publish deliberately. Keep manual entry available when automation cannot finish the work.
02 / Stateful automation
Wait for the result.
Keep the run accountable.
Remote operations often involve waiting for a device, queuing a command, checking its result, and applying a cooldown before another attempt. We build stateful workflows that retain that progress outside the browser.
One active run owns each device-and-automation pair. Deadlines, retry limits, and recorded outcomes make it possible to resume interrupted work without creating uncontrolled repeat actions.
Explore remote operationsStart a conversation
Bring us a workflow, not just a model.
Tell us what the input is, which decision needs help, and who must approve the result. We can start from the process and identify where AI belongs.