With Vision Processing and Artificial Intelligence Industrial Transformation

SOOS Technology combines machine vision, text analytics and anonymization technologies to sharpen your production, logistics and operational efficiency. Our engineering-oriented approach is built on rapid validation, measurable KPIs and sustainable scaling.

Vision

To transform industrial areas into visible, measurable and predictable ecosystems by transforming camera and process data into an intelligent decision layer.

Mission

To quickly close loss points in production and operation processes with scalable, modular and secure artificial intelligence infrastructures.

Approach

We constantly repeat the Analysis → Prototype → Pilot → Scale cycle with data quality, user experience and ROI metrics.

Core Values

Reliability

Auditable, recorded and explainable output production.

Sustainability

Quick adaptation to new needs with modular architecture.

Security

KVKK compliant anonymization and edge processing policies.

measurability

Clear KPIs in each module: error rate, cycle time, stock accuracy.

Partnership

Simultaneous iteration and feedback loop with teams.

Innovation

Continuous improvement in model optimization and MLOps processes.

Timeline

2024 Q4 - Establishment

Incorporation in Sakarya Teknokent after the success of the G-Fast program.

2025 Q2 - First Pilot

Production of product counting modules and investment searches have started

2025 Q3 - Initial Investment

The company was officially opened and the first investment was received.

2025 Q4 - Steady Ascension

Work on image processing projects continues at full speed.

Team

Oğuzhan Koca

Technology Consultant / Co-Founder

Develops MLOps practices focused on machine vision and production data processing.

Sezer Barber

Customer Relations Specialist / Founding Partner

Translates business demands into technical requirements and drives interaction design.

Advisory Staff

Academic and Industrial Support

Contributes to model validation, security and data governance processes.

Our Difference

Modular Architecture

Each module is independently versioned;Needed modules are added or removed.

  • Rapid prototyping → prod transition
  • Isolated retraining pipeline
  • API version compatibility

Data-Driven Iteration

With the interaction signals collected, the model improvement cycle runs continuously.

  • Quality metric dashboard
  • Anomaly notification system
  • Automatic tag suggestions

We Are Ready to Create Value Together

With our needs analysis session, we determine which modules will have the highest impact in the first 60 days.Request a meeting.

Contact Us