AI/ML Engineering

AI agents, workflow automation, and integrations with the software your business already uses.

AI Where the Work Happens

We work best with businesses that have a small development team, or none at all, and want to connect AI to a real product, workflow, or industry.

We connect agents, retrieval, vector search, and multi-step workflows to your existing applications and business data. The aim is useful software in the context of your business, with clear decisions about what should be automated and where a person stays involved.

Capabilities

Large Language Models Agentic AI RAG Pipelines Fine-tuning Deep Learning Computer Vision NLP Speech Recognition Reinforcement Learning Generative AI Prompt Engineering

Frameworks & Tools

PyTorch TensorFlow JAX Hugging Face LangChain LlamaIndex Semantic Kernel Weights & Biases MLflow Kubeflow CUDA ONNX TensorRT

Infrastructure

vLLM TGI Triton Inference Server Pinecone Weaviate Qdrant Chroma pgvector SageMaker Vertex AI Azure ML Ray Dask

LLM Applications

RAG systems, chatbots, document intelligence, code generation, and custom LLM integrations built for production use.

Agentic Systems

Autonomous AI agents that orchestrate tools, APIs, and workflows — with proper guardrails and human oversight.

Computer Vision & NLP

Image recognition, object detection, OCR, text classification, entity extraction, and multimodal systems.

Data Engineering for ML

Feature stores, training data pipelines, labeling workflows, and the data infrastructure that feeds your models.

MLOps & Model Serving

Training pipelines, model serving, A/B testing, canary deployments, and GPU infrastructure management.

Evaluation & Monitoring

Comprehensive eval frameworks, drift detection, hallucination monitoring, and production observability for AI systems.

Need AI that works in production?

We build AI systems that handle real-world complexity.

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