For BizACT, R&D is not a separate department; it is the way we work. Our location within İTÜ ARI 1 Technopark allows us to turn research results into applicable products quickly.
Our research areas
- Secure integration of large language models with enterprise knowledge bases (RAG architectures)
- Few-shot learning approaches in industrial image processing
- Explainable model architectures for time series forecasting
- Lightweight deep learning models capable of running on edge devices
- Data anonymisation and privacy-preserving learning techniques
Academic collaboration
Thanks to the proximity the technopark ecosystem provides, we run joint projects with university research groups and offer internship and thesis opportunities to undergraduate and postgraduate students. This collaboration strengthens both our research quality and our access to qualified talent.
Our R&D process approach
- Problem definition: The research question is tied to a concrete business need.
- Literature and feasibility: Existing approaches are surveyed and applicability assessed.
- Prototype: A fast, narrowly scoped proof of concept is developed.
- Evaluation: Results are compared against predefined criteria.
- Productisation: Successful prototypes are raised to production standards.
Incentive and support processes
We share the experience gained in our own R&D projects with clients during their incentive application processes, advising on project design, technical documentation and reporting.