Unrecorded processes
If measurement never happens in the first place, no data is ever left behind.
We turn losses and gains that used to go unseen into digital signals, step by step — and let AI make the manufacturing floor predictable.
Contact SalesUnrecorded process data, unstandardized problem-solving routines, decisions tied to a veteran's tacit knowledge — all three repeat across every manufacturing site, never quite getting priced into the books.
If measurement never happens in the first place, no data is ever left behind.
Paper documents go unsearched and get lost; verbal reports disappear along with memory.
How a veteran solved a problem stays with the person, not the company — and leaves the moment they do.
From operator checks to machine signals to quality results — we unify scattered data into a single operating layer and stack analytics and prediction on top, step by step.
Turn unstructured data into structured data
Convert paper forms and verbal records from each process into data, and load them as data that can actually be used, not just stored. Information once scattered across paper and chat is aligned to a single source of truth.
Find losses in accumulated records
As process data accumulates, teams can monitor the floor in real time from the office and quantitatively compare time spent on processes and issue handling. Repeating patterns and deviations from the average become visible in the data.
Apply AI on top of accumulated data
Using accumulated structured data, the system immediately suggests similar past cases when a new issue occurs and detects anomalies in raw materials and processes in advance. Voice and image recognition also reduce data-entry workload on the floor.
DP Builder is a collaboration canvas that turns ambiguous pre-sales conversations into a structured workflow. Customer requirements become visual nodes, customer and vendor draw the flow together on the same screen, and scope and intent align precisely before work begins.
These figures are targets at the end of the pilot operation period and will vary depending on process characteristics and data maturity.
We design a staged adoption scenario that matches your current data maturity. We typically reply within three business days.