Document intelligence, feature extraction, decision support and industrial algorithms — all built on the same platform and the same capabilities.
An assistant that puts the historical document archive back to work, turning years of material into useful answers.
It connects to Microsoft Graph to pull content from SharePoint and runs a RAG pipeline — retrieval plus assisted generation.
Semantic search across documents, PDFs and historical knowledge — less time spent digging up context for proposals, pre-sales and execution.
Reads DXF technical drawings and translates their geometry into data a piece of software can actually use.
It parses DXF files, recognizes geometric groups, and picks out teeth, slots, radii, bounding boxes and other parameters describing the part.
A technical file becomes features that classifiers, quoting workflows or downstream automation can read directly.
Generates the operating actions for blade straightening, from history and a model of the process.
An API returns corrective action sequences for straightening, combining transformer models with the blade's real dynamics.
It doesn't just read the data — it suggests what to do next. Useful for assisting, or standardizing, a delicate technical call.
A web application estimating future demand from historical sales data plus current and forecast market signals.
A web interface to pick product type and time horizon, tune the model's parameters, and compare several algorithms side by side.
Strategic and operational decision support — production planning and sales & operations planning on firmer ground.
Analyzes assembly curves, spots patterns and deviations, and returns a real-time quality assessment.
It analyzes assembly curves, identifies patterns and deviations, and automatically classifies product quality.
Classifying process quality in real time means acting on the line immediately, not the next day.
We start with an assessment to find where the platform creates value fastest.