AI, ML and Data
Custom AI models, computer vision and MLOps.
We train models on your data, apply computer vision where the work takes place, and set up the data pipeline and MLOps your team needs to operate them. AI agents are used where a person stays in the loop.


AI, ML and Data
01Custom model development
We train models on your data for the decision your operation has to make, then deploy them with monitoring. Generative models are used only where the task calls for them.
02Computer vision
Classification, detection and tagging, validated on real footage from the production floor and then deployed as a pipeline your operators can use.
03Data and MLOps
Data cleaning, labeling, training, deployment, drift monitoring and handover. Deployment can be in the cloud, on-premises or hybrid when governance requires it.
04AI and Agents
Automation for tasks where a script is too rigid, with a person reviewing the decisions that matter.
How a project proceeds
A project starts with the data and the decision the model has to support. We validate the approach on real data or footage, build the data pipeline and MLOps around the model, and keep a person in the loop where judgment is needed.
The path is the same as for other projects: a short proof of concept where the risk is high, then a production release with monitoring, documentation and a named owner.
If the main problem is the operation around the model, we recommend starting with Solution Engineering.
Questions
Approach01Can the model stay on our infrastructure?
Yes. Models can run in the cloud, on-premises or in a hybrid setup, depending on your requirements. Sensitive data does not have to leave your environment.
02Which technologies do you use?
Our stack includes PyTorch, MLflow and PostgreSQL, deployed on AWS, Azure, GCP or Kubernetes, depending on the project.
03Do you deliver software and AI projects in Türkiye and the United States?
Yes. Engineering is based in Adana and Ankara TEKMER, and the US address is in Dover, Delaware. Discovery and delivery run for teams in both countries.
Tell us about your project.
A 30-minute discovery call, followed by a founder presentation.
Book a discovery call
