AI & ML Engineering for US Companies — Without the Bay Area Price Tag

Hands-on experience with OpenAI, Anthropic, and open-source LLM stacks (Llama, Mistral)

RAG architecture, fine-tuning, and vector DB (Pinecone, Weaviate) expertise

HIPAA-compatible AI pipeline design for US healthcare and insurtech clients

EST morning overlap — daily syncs to review model outputs and prompt iterations

What AI/ML stack does iSpecia specialise in?

Python-first: PyTorch, scikit-learn, HuggingFace Transformers, LangChain, LlamaIndex. For LLM products we work with OpenAI, Anthropic Claude, and open-source models. Infrastructure runs on AWS SageMaker, GCP Vertex AI, or Azure ML.

Can you help a US startup move from a proof-of-concept to a production AI feature?

Yes — that's our most common engagement. We audit your PoC, rebuild it with production-grade error handling, monitoring (Langfuse, Helicone), and CI/CD, then hand it off to your team with full documentation.

How do you handle sensitive US customer data in AI training pipelines?

We design pipelines to be HIPAA-aware by default: no PII in training sets without explicit consent, data processed in your AWS region, audit logs for every model call. We sign BAAs if required.