AI Solutions
We use AI for real work, not for show: we turn your company data into assistants that answer questions, reports that prepare themselves and workflows that take over repetitive tasks.
01Problem
What problem do we solve?
Knowledge is scattered
Finding information spread across documents, emails and systems takes hours.
Reports are prepared by hand
Merging the same spreadsheets every week eats up the team's time.
Repetitive work slows growth
Tasks like classifying, summarizing and responding still wait on human effort.
02Scope
What we do
Enterprise knowledge assistant
An assistant fed by your documents and systems that answers with cited sources (RAG).
Voice assistant
Assistants that deliver numbers through spoken Q&A and read out a daily summary.
Automated reporting
Regular summary reports with commentary, built from ERP and business data.
Document processing
Extracting and classifying data from documents such as invoices, orders and forms.
Smart workflows
Prioritizing emails and requests, and generating draft replies.
Data security
Authorization, access logging and KVKK-compliant data processing.
Technologies we use
- Large language models (LLM)
- RAG
- Vector search
- Speech recognition and synthesis
- REST API
04How we work
From idea to launch in four steps.
- 01
Discover
We listen to your business, your users and your goals, clarify the scope and identify potential risks from the very start.
- 02
Design
We design user flows, the interface and the system architecture, and validate everything together with a clickable prototype before any code is written.
- 03
Build
We work in short development cycles and share a working release every week. Testing, code review and automated deployment are standard parts of our process.
- 04
Launch & grow
We launch the product, then monitor, measure and improve it. Launch isn't the end; it's where the product begins.
05FAQ
Frequently asked questions
Will AI leak our company data?
We design the setup with data security first: authorization, access logs and, where needed, processing data in masked form. We decide together which data goes to which service.
Is an assistant that works with our own documents possible?
Yes. With the RAG approach, the assistant answers by drawing on your documents and systems and showing its sources.
Where should we start?
We recommend starting with your most repetitive task whose results can be measured. We measure the benefit with a small pilot, then roll the solution out more widely.
Does the voice assistant work in Turkish?
Yes. Patro in Patrox CEO answers spoken questions in Turkish.
Let's buildyour next producttogether.
Share your project and requirements with us, and within one business day we'll send you an initial assessment covering scope, estimated timeline and roadmap.
Start a project