Data, analytics and AI
We collect data from different systems and turn it into business intelligence dashboards and, where needed, AI solutions.
We collect the data scattered across your systems, clean it and turn it into business intelligence dashboards you can follow from one screen. We bring together sales, finance and operations data and automate reporting. We use AI where it delivers measurable value, in areas like forecasting, classification and document processing.
We start by making the data reliable; dashboards built before inconsistencies across sources (ERP, accounting, CRM, Excel) are resolved will mislead. Not every problem needs AI; often a well-built dashboard and automation deliver results faster.
What we do
BI dashboards
Live dashboards showing sales, finance and operations on one screen.
Data integration
Merging data from different systems into one consistent source.
AI solutions
Applications like forecasting, classification, document processing and anomaly detection.
Automated reporting
Scheduled, repeatable reports that replace ones prepared by hand.
Data cleaning
Fixing inconsistent and missing records so analysis rests on a reliable base.
Our own products
We also build our own products. All three are live and in use:
JotTools
Free online tools that run entirely in the browser, no install needed.
BulkPro
Desktop app for PDF, Excel, image, video and audio tasks.
MailDrop
Open-source bulk email application.
Part of our source code is public: github.com/bilgetekcom
How we work
Discovery
We define which decision needs which data.
Modeling
We merge the sources into one reliable layer.
Development
We build the dashboard and any AI components, and validate the results.
Handover & support
We train your team and extend the dashboard as data and needs grow.
Frequently asked questions
Does data analytics make sense for a small business?
Yes. A well-built dashboard and a few automations often deliver value quickly; we size the scope to the need.
Our data is scattered across systems, is that a problem?
No, that's common. Merging sources into one reliable data layer is the first step of the work.
Is AI needed in every project?
No. We recommend AI only where it delivers measurable value; most needs are met with dashboards and automation.
Do the dashboards run on our own systems?
We build to the need. Your data can stay on your own infrastructure; you access dashboards with permissioned access.
Can you automate reporting?
Yes. Repetitive hand-prepared reports can be scheduled and automated.
How do you ensure the AI output is accurate?
Before putting a model into use, we validate results against real data and state its limits clearly.