AI Stack From Research to Production
PyTorch, Hugging Face, LangChain, Pinecone — the AI/ML stack for building and deploying models that handle real workloads.
AI Tools
The stack behind our AI
Tools we use in production — not just for demos.
PyTorch & TensorFlow
Primary deep learning frameworks. PyTorch for research and custom architectures, TensorFlow/Keras for deployment and mobile.
HuggingFace
Transformers, Datasets, PEFT, and Accelerate. Fine-tuning BERT, LLaMA, and Mistral models on domain data.
LangChain & LlamaIndex
Orchestration frameworks for LLM applications. RAG pipelines, agents, and tool-calling with any LLM.
Vector Databases
Pinecone, Weaviate, pgvector, and Qdrant. Semantic search, recommendation systems, and RAG memory.
MLflow & Weights & Biases
Experiment tracking, model registry, and deployment management — every run logged, every model versioned.
Model Serving
FastAPI inference servers, Triton Inference Server for GPU, ONNX for cross-platform optimization, and SageMaker for scale.
Let's build your AI.
Tell us what you're building. We'll scope it, estimate it, and start within days — not months.
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