AI & Machine Learning
Production-grade ML, LLM-powered features, and computer vision systems engineered to survive contact with production — not just notebooks. We deploy, version, monitor, and improve them with you.
Technology we lean on
Python
PyTorch
Scikit-learn
Hugging Face
LangChain
LangGraph
LlamaIndex
FastAPI
vLLM
PostgreSQL
pgvector
Qdrant
Redis
MLflow
Weights & Biases
Ray
ONNX Runtime
TensorRT
Docker
Kubernetes
AWSPythonPyTorchScikit-learnHugging FaceLangChainLangGraphLlamaIndexFastAPIvLLMPostgreSQLpgvectorQdrantRedisMLflowWeights & BiasesRayONNX RuntimeTensorRTDockerKubernetesAWSOverview
A model that works in a notebook is a demo; a model that holds up in production is a product. We build AI systems engineered for the second case — LLM features, computer vision, and predictive models that are versioned, monitored, evaluated, and improvable. We pay as much attention to the data pipeline, guardrails, and feedback loop as to the model itself, because that's what survives contact with real users.
What we deliver
LLM-powered features
Retrieval, agents, and assistants with evaluation harnesses and cost controls built in.
Computer vision systems
Detection, classification, and OCR pipelines tuned for your imagery and latency budget.
Predictive models
Forecasting and scoring models with honest validation and drift monitoring.
MLOps platform
Versioning, deployment, and observability so models ship and improve like software.
Ready to get started with AI & Machine Learning?
Tell us what you're building. We'll come back with a clear, senior-engineer point of view — not a generic proposal.