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Data and reporting

An auditable business analyst: verified engines supply the number, not the model

Dima is an auditable business analyst that understands each prompt as a conversational turn, never guesses through ambiguity, and queries semantic models over real data.

By A. Harun ÖztürkCo-Founder & Tech Lead

When executive management asks critical questions like why scrap increased last month, finding verified answers often takes days. Data is pulled from the ERP, exported to spreadsheets, and meetings drag on. Standard generative tools try to paper over missing data with guesses and hallucinations.

Where the answer comes from

Dima treats every user message as a conversational turn. It never fills ambiguity with guesswork; when clarification is needed, it asks targeted questions. It queries your plant's structured semantic model and real data through a reliable analytical engine. Queries are planned read-only; they can never alter your records.

Rapid answers and iterative investigation

Dima answers straightforward questions in seconds. For complex investigations, it develops its research iteratively as preliminary findings emerge. It combines underlying evidence, data tables, visual charts, and candidate root causes within the same conversation and auditable report.

Your ERP, spreadsheets, and databases stay where they are. Dima connects securely to your existing infrastructure, tailored to your plant's workflows. At the end of setup, all data models and business rules remain entirely yours.

Let's do this with your own data

If you would like to see this working in your own facility, start here.