Through our R&D work at Teknopark Istanbul, we bring AI, big data and IoT technologies to the transportation sector. With projects supported by TÜBİTAK and KOSGEB, we lead the industry's digital transformation.
We develop AI and big data projects backed by national R&D funds.
We design IoT, telematics and route optimization algorithms in-house.
Every solution we build is tested with real customer data before it goes into the field.
The "RnD" in our company name — Research & Development — is a deliberate choice. R&D is at the core of vita; every step of our product development is driven by research.
We produce scientific solutions to real problems in the transportation industry and continuously improve the algorithms we build. The technologies we're building today form the foundation of tomorrow's smart transportation systems.
Our Research AreasWe conduct research in areas requiring deep technical expertise to transform the transportation ecosystem.
We build deep learning models for demand forecasting, dynamic route optimization and driver behaviour analysis.
We produce advanced routing algorithms and multi-constraint optimization solutions for demand-responsive transport.
We build architectures that process big data streams from in-vehicle sensors and telematics devices in real time.
By analyzing millions of trip records, we uncover transportation patterns and urban mobility models.
We research offline-first architecture, high performance on low bandwidth, and real-time map processing.
We conduct R&D on microservice architectures, auto-scaling and cost-optimized cloud infrastructures.
The R&D projects we develop, grounded in the real problems of the transportation industry, form the basis of our products' competitive edge.
Real-time vehicle routing based on machine learning. 30% efficiency gain.
Fatigue and risky behaviour detection using telematics and camera data.
Mechanical fault prediction and maintenance optimization from vehicle sensor data.
Multi-variable carbon emission model using vehicle type, occupancy and route data.
Adaptive compression protocol for lossless location transmission over weak connections.
Secure shuttle access infrastructure with QR, NFC and biometric recognition.
At vita, R&D is not an isolated unit — it's a process integrated into every layer of the product development cycle.
Problems identified through industry observation and customer feedback are analyzed with an academic literature review.
Early prototypes are developed in agile sprint cycles. A/B tests determine the most effective approach.
Solutions are tested in real-world settings; performance metrics are measured and statistical significance is confirmed.
Solutions are integrated into live products through CI/CD pipelines. Results are turned into patent applications.
Model performance is monitored using production data. New data points feed future research hypotheses.
We're open to talking with universities and technology companies about joint R&D projects, thesis collaborations or technology transfer.