Automotive Analysis
DNAEksper
A system that analyses ECU software files and produces a structured inspection report.
AnalysisIntegrityReport
AutomaticFile analysis
HashIntegrity
WebhookReport delivery
AI Solutions · Ankara
AI shouldn't be a demo; it should be a working part.AI Solutions
We put AI inside the work, where decisions are made: an assistant that answers customers, a flow that extracts data from documents, a model that catches the early signs of a failure.
Document processingChat assistantClassificationForecastingComputer visionHuman approval
Most AI projects get stuck at an impressive demo. What works in a presentation breaks once it enters daily work, because real data is messy, users type unexpected things and nobody has defined what happens when it's wrong.
Here's where we look: which decision does the model's output feed, what happens when it's wrong, and who notices? No model goes into production until these three questions are answered.
What it covers
Data extraction from documentsStructured data from invoices, waybills, quotes and technical documents. Low-confidence results go to human approval.
Chat assistantAn assistant that works on the organization's own documents, shows its sources and says so when it doesn't know.
Classification and routingIncoming requests, fault reports or e-mails routed automatically to the right team.
Predictive maintenanceWear signals from measurements such as vibration, temperature and current. Automatic work orders when thresholds are exceeded.
Human approval pointFor critical decisions the process is handed to a person. The robot prepares, the person approves, the system completes.
Measurement and monitoringThe model's performance in the field is measured continuously; degradation doesn't happen silently.
DNAEksper screens
DNAEksper page →
How we proceed
1 · Find the decision pointWhich decision the model's output will feed is made concrete.
2 · Data realityWhat's available, how clean it is, whether it's labelled. Most projects get reshaped here.
3 · Narrow pilotRunning in a single process, together with human approval.
4 · Gradual openingAs performance is measured, the share of automatic decisions is increased.
Key products for this industry
Frequently asked
Does our data leave the company for model training?+
This is set in writing at the start of the project. Where company data must not leave, models running on-premise are preferred; if an external service is used, exactly which data goes out is clearly defined.
What happens if the model gives a wrong answer?+
The design accounts for it: low-confidence outputs go to human approval, critical decisions aren't applied automatically and every output is logged. Being able to notice an error matters as much as the model's accuracy.
Does it work with our own data?+
Yes — designs that work are usually built on the organization's own documents and records. An assistant answering from general knowledge produces nothing useful for most business questions.
Let's talk about this.
We'll listen to your current situation and work out together where to start.