Technology Strategy
Microflowtek follows a platform-agnostic architecture strategy.Example Runtime Components
| Layer | Technologies |
|---|---|
| Cloud | AWS |
| LLM APIs | OpenAI, Anthropic |
| Local LLMs | Ollama |
| Vector Databases | Qdrant, pgvector |
| OCR | Textract, PaddleOCR |
| Machine Learning | PyTorch, XGBoost |
| Edge AI | NVIDIA Jetson |
| Acceleration | TensorRT |
Deployment Models
| Deployment Type | Description |
|---|---|
| Cloud | AWS-based infrastructure |
| Local Runtime | On-premise deployment |
| Edge AI | Industrial edge hardware |
| Hybrid Runtime | Combined cloud/local systems |
Strategic Direction
Microflowtek focuses on:- operational runtime systems
- workflow orchestration
- engineering integration
- retrieval infrastructure
- human validation
- hybrid deployment