01
Software Engineering
We build everything around the model to production grade. Interfaces, API services, data pipelines and security layers are designed as one architecture, not as separate parts.
About us
From Prototype to Production: AI and LLM
Building an AI model is only the first step. The real expertise lies in adapting that model into your existing software infrastructure, your data pipelines and your business processes without interruption.
werea brings AI research and large-scale software engineering under one roof, producing technology that is sustainable and actually runs in production.
WHAT WE DO
Three Disciplines, One Integrated Service
02
AI and Model Architecture
We select, adapt and validate the model that fits your need. Which model gets used rests on clear, objective, repeatable measurement — not on instinct.
03
Adaptation and System Integration
We build the layer that connects models to the systems your organisation already runs, and we secure their continuity with monitoring, feedback mechanisms and performance audits.
OUR APPROACH
We Sit Research and Engineering at the Same Table
Most AI projects never get past being an impressive demo. The root cause is simple: the teams that build models and the engineers who run the live system work towards different goals.
werea brings those two worlds into one process from day one. Every idea we develop is tied, from the first moment, to a clear data pipeline, a budget limit and a measurable business target.
We Start With Measurement
We do not begin development on any project whose success criteria and test scenarios are undefined. An improvement we cannot measure does not count as one.
Risk Management and Reversibility
Every architecture that goes live has a safe way back. Controllable infrastructure is the basis of uninterrupted service.
Transparent, Documented Decisions
We make our technical and architectural choices transparent and write them down. Months later, the reasoning behind every decision is still traceable.
NUMBERS
werea in Figures
42+systems live and running in production
6 weeksfrom idea to the first live release
100%targeted availability and continuity
TEAM
Who you work with
The people who put AI research and software engineering at the same table.
Elif Aydın
Co-founder · AI
Works on language models and evaluation methodology.
Kerem Doğan
Co-founder · Engineering
Leads distributed systems and data infrastructure.
Naz Şahin
Product
Turns research output into something a user can actually understand.
Burak Öz
Platform engineer
Responsible for pipelines, observability and cost.
TIMELINE
How We Got Here
- 2021
Founded
We set out with one aim: to bring AI research together with live production systems.
- 2022
First Live Integration
We shipped a live document-processing pipeline for an organisation in the logistics sector.
- 2023
Infrastructure and Productisation
Our advanced data-processing and RAG infrastructure became our own standard libraries.
- 2024
Scaling
We grew the engineering, product and platform teams and accelerated our B2B adaptation work.
CONTACT
Let's Talk About the Right AI Architecture for Your System
Let us look at your current data structure and infrastructure together in a 45-minute technical review. To clarify what you need or simply to ask, you can reach our team directly.