AI Detection
AI Detection focuses on identifying patterns, anomalies, and meaningful structures within large datasets,
images, video, or text. We design detection systems that leverage machine learning,
computer vision, and natural language processing to recognize trends, classify content,
and detect outliers in real time. Our implementations combine the scalability of Linux with the
enterprise integration capabilities of .NET.
Technical Focus
- Computer Vision: Object detection, facial recognition, and motion tracking using
OpenCV, YOLOv8, and TensorFlow on Linux-based GPU systems.
- Natural Language Detection: Text classification, sentiment analysis, and content moderation
via Transformers (BERT, RoBERTa) and spaCy, integrated through Python
APIs and ML.NET.
- Anomaly & Fraud Detection: Time-series and statistical models implemented with
Scikit-learn and PyTorch, combined with .NET microservices for real-time inference.
- Deployment & Integration: Model hosting through ONNX Runtime and
ASP.NET Core APIs, containerized via Docker and orchestrated with Kubernetes
on Linux servers.
- Data Pipelines: Continuous input streams using Kafka, Airflow,
and Azure Event Hubs for automated detection workflows.
Core Competence
We specialize in intelligent detection systems that combine AI-driven perception with
enterprise-grade integration. Our Linux and .NET solutions deliver real-time analysis,
continuous learning, and cross-platform scalability for security, compliance, and automation use cases.
AI Generative
AI Generative technologies create new content — from text and images to audio and code — by learning
complex data patterns. Our generative AI solutions integrate open-source deep learning frameworks
with .NET and Linux infrastructures to deliver scalable and customizable
creative intelligence for enterprise applications.
Technical Focus
- Large Language Models (LLMs): Deployment and fine-tuning of transformer-based models
such as GPT, LLaMA, and Phi using PyTorch and
Hugging Face Transformers on Linux GPU clusters.
- Generative Media: Text-to-image and video synthesis using Stable Diffusion,
ControlNet, and Diffusers libraries integrated with RESTful APIs hosted
in ASP.NET Core.
- Code & Workflow Generation: Automation of code and documentation generation
through Copilot-like assistants and ML.NET pipelines.
- Hybrid Architecture: Seamless communication between Python-based model services
and .NET front-end or middleware layers via gRPC and FastAPI.
- Deployment & Scaling: Containerized deployment with Docker,
Kubernetes, and GPU-accelerated Linux environments; version control with
MLflow and Weights & Biases.
- Data Privacy & Compliance: Implementation of secure, on-premise model hosting
and controlled generation pipelines aligned with enterprise security standards.
Core Competence
We build advanced generative AI systems that combine deep learning innovation with
.NET integration and Linux scalability. From creative automation to
enterprise-level content synthesis, our solutions empower organizations to innovate faster while maintaining
control, accuracy, and security.