# Koca Ventures

> Koca Ventures is an AI technology company specializing in edge AI, computer vision, and industrial automation. We help enterprises deploy secure, on-premise AI solutions using NVIDIA Jetson platforms for manufacturing, logistics, security, defense, and critical infrastructure. Founded 2023, headquartered in London with operations in Istanbul.

We develop custom AI solutions that run entirely on-premise, ensuring data sovereignty and real-time performance. Our expertise spans the full AI lifecycle: from proof-of-concept through production deployment at scale.

**Contact:** ozgur@kocaventures.com | **Website:** https://kocaventures.com

## Services

- [All Services](https://kocaventures.com/services): Edge AI, computer vision, custom software development, and consulting
- [Manufacturing AI](https://kocaventures.com/for-manufacturing): Quality control, defect detection, predictive maintenance
- [Logistics AI](https://kocaventures.com/for-logistics): Warehouse automation, inventory tracking, fleet management
- [Security AI](https://kocaventures.com/for-security): Real-time threat detection, video analytics, perimeter monitoring
- [Defense AI](https://kocaventures.com/for-defense): Secure tactical AI systems, reconnaissance, situational awareness
- [Infrastructure AI](https://kocaventures.com/for-infrastructure): Smart city monitoring, critical infrastructure protection
- [Finance AI](https://kocaventures.com/for-finance): Fraud detection, risk analysis, compliance automation
- [Government AI](https://kocaventures.com/for-government): Public sector digital transformation, secure AI deployment

## Products

- [Sentinel-X.ai](https://kocaventures.com/case-studies/sentinel-x): Edge AI security platform with real-time threat detection, on-premise deployment, multi-camera support
- [Kobor.ai](https://kocaventures.com/case-studies/kobor-ai): Industrial computer vision for manufacturing quality control and defect detection

## Technical Blog - Edge AI & NVIDIA Jetson

Our engineering team publishes in-depth technical guides on edge AI deployment:

- [Edge AI Inference Patterns](https://kocaventures.com/blog/edge-ai-inference-patterns-jetson): Production deployment patterns for edge AI systems including batching, model serving, and optimization strategies
- [TensorRT Advanced Optimization](https://kocaventures.com/blog/tensorrt-advanced-optimization-jetson): Neural network optimization techniques for maximum inference performance on Jetson
- [Autonomous Systems on Jetson Orin](https://kocaventures.com/blog/autonomous-systems-jetson-orin): Building self-driving vehicles, drones, and robotic systems with safety-critical AI
- [Advanced Computer Vision on Jetson](https://kocaventures.com/blog/advanced-computer-vision-jetson): Real-time object detection, tracking, and visual AI pipelines
- [DeepStream Advanced Deployment](https://kocaventures.com/blog/deepstream-advanced-deployment): NVIDIA DeepStream SDK for scalable video analytics
- [Jetson Security Best Practices](https://kocaventures.com/blog/jetson-security-best-practices): Securing edge AI deployments against threats
- [Isaac ROS for Robotics AI](https://kocaventures.com/blog/isaac-ros-robotics-ai): NVIDIA Isaac ROS for perception, navigation, and manipulation
- [3D Reconstruction for Robotics](https://kocaventures.com/blog/3d-reconstruction-robotics-jetson): Depth sensing, point clouds, and spatial AI
- [Neural Network Optimization](https://kocaventures.com/blog/neural-network-optimization-jetson): Quantization, pruning, and model compression for edge
- [Bidirectional LSTM Edge Deployment](https://kocaventures.com/blog/bidirectional-lstm-edge-deployment): Sequence models and time-series AI on embedded systems

## Technology Expertise

**AI/ML Frameworks:** PyTorch, TensorFlow, ONNX, TensorRT, OpenCV, YOLO, Ultralytics
**Edge Platforms:** NVIDIA Jetson (Orin, Xavier, Nano), Raspberry Pi, Intel NCS, Google Coral
**Languages:** Python, C++, TypeScript, Go, Rust
**Infrastructure:** Docker, Kubernetes, AWS, Azure, GCP

## FAQ

**What is edge AI?**
Edge AI runs machine learning models directly on local devices (like NVIDIA Jetson) rather than in the cloud. This enables real-time inference (<50ms latency), data privacy (data never leaves premises), and offline operation.

**Why choose on-premise AI over cloud AI?**
On-premise/edge AI provides: (1) Data sovereignty - sensitive data stays on your network, (2) Low latency - critical for real-time applications, (3) No ongoing cloud costs, (4) Works without internet connectivity.

**What industries benefit from edge AI?**
Manufacturing (quality control, predictive maintenance), logistics (warehouse automation), security (threat detection), healthcare (medical imaging), retail (inventory tracking), and any industry needing real-time AI with data privacy.

## Optional

- [Pricing](https://kocaventures.com/pricing): Service rates and engagement models
- [How We Work](https://kocaventures.com/how-we-work): Our development process
- [Contact](https://kocaventures.com/contact): Get in touch for consultations