Technology Solutions
Across Continents
Founded in the mid-2000s by Karl Selander and Godwin Sam Josh, Altrosyn Technologies has evolved into a trusted bi-continental technology partner, delivering innovative AI and data-driven solutions for nearly two decades.
Global Operations
Strategically positioned to serve clients around the clock
New York
Hopewell Junction
Our U.S. headquarters anchors client-facing operations and business development efforts across North America, serving as the strategic hub for our American operations.
Chennai
Nungambakkam District
Our development center, established in 2017, handles engineering, product development, and support operations, enabling continuous service delivery and technical excellence.
AI Research & Development Excellence
Our collective of experienced AI researchers and developers pushes the boundaries of what's possible with artificial intelligence, spanning the entire technology stack from foundational research to production deployment
AI Model Training
Deep expertise in training state-of-the-art language models, computer vision systems, and custom AI solutions using advanced techniques and frameworks
Multi-Language Proficiency
Fluent in Python, JavaScript, TypeScript, Java, C++, and Go, enabling us to choose the optimal technology stack for each unique challenge
PyTorch & TensorFlow
Advanced implementation of neural networks, transformers, and custom architectures using industry-leading deep learning frameworks
RAG & Vector Databases
Pioneering retrieval-augmented generation systems with Pinecone, Weaviate, and ChromaDB for enhanced AI knowledge management
Time Series Prediction
Sophisticated forecasting models for financial markets, demand planning, and anomaly detection using LSTM, Prophet, and transformer architectures
Distributed Systems
Building scalable AI infrastructure with Kubernetes, Ray, and distributed training frameworks for enterprise-grade deployments
Comprehensive Technology Stack
Deep Learning Frameworks
- PyTorch & PyTorch Lightning
- TensorFlow & Keras
- JAX & Flax
- Hugging Face Transformers
- ONNX Runtime
- TensorRT
Language Models & NLP
- GPT, BERT, T5, LLaMA architectures
- Instruction tuning & RLHF
- LangChain & LlamaIndex
- Semantic search & embeddings
- Named Entity Recognition
- Sentiment analysis pipelines
Vector Databases & RAG
- Pinecone & Weaviate
- ChromaDB & Qdrant
- FAISS & Annoy
- Elasticsearch with vector search
- Redis Vector Similarity
- pgvector for PostgreSQL
MLOps & Infrastructure
- Kubernetes & Kubeflow
- MLflow & Weights & Biases
- Ray & Ray Serve
- Apache Airflow
- Docker & containerization
- CI/CD for ML pipelines
Computer Vision
- YOLO & Detectron2
- OpenCV & PIL
- Segment Anything Model (SAM)
- Vision Transformers (ViT)
- Stable Diffusion & DALL-E
- OCR with Tesseract & EasyOCR
Time Series & Analytics
- Prophet & NeuralProphet
- LSTM & GRU networks
- Temporal Fusion Transformers
- ARIMA & SARIMA models
- Anomaly detection algorithms
- Real-time streaming analytics
Programming & Tools
- Python, C++, Rust, Go
- CUDA & cuDNN programming
- NumPy, Pandas, Scikit-learn
- Apache Spark & Dask
- Jupyter & Google Colab
- Git, GitHub Actions, GitLab CI
Research & Experimentation
- A/B testing frameworks
- Hyperparameter optimization (Optuna, Ray Tune)
- Model interpretability (SHAP, LIME)
- Adversarial training
- Few-shot & zero-shot learning
- Reinforcement learning (Stable Baselines3)
Core Technical Competencies
MLOps & Model Deployment
- Model versioning
- A/B testing
- Continuous integration
- Performance monitoring
Research & Development
- Paper implementation
- Novel architectures
- Optimization techniques
- Benchmarking
Generative AI
- LLM fine-tuning
- Prompt engineering
- Multi-modal models
- Agent systems
Specialized AI Domains
Generative AI
Fine-tuning LLMs, prompt engineering, multi-modal generation, and autonomous agent development
Edge AI
Model quantization, TensorFlow Lite, ONNX optimization, and deployment on edge devices
Ethical AI
Bias detection, fairness metrics, explainable AI, and responsible AI governance frameworks
Our team combines academic rigor with practical experience, having contributed to open-source projects, published research, and deployed AI systems at scale. We believe in continuous learning and staying at the forefront of AI advancement to deliver transformative solutions for our clients.