AI, ML & LLM Development Services
AI development is building intelligence into a product and running it in production: LLM features and agents, retrieval pipelines over your own data, classic machine-learning models, and the evaluation and deployment work that keeps them reliable. We do the engineering, not the demo — the part where it has to handle real traffic, real costs, and wrong answers.
What we build
- LLM apps and agents — chat over your docs, copilots, multi-step agents that call tools and APIs. We design the control flow, guardrails, and fallbacks so the agent fails safely instead of confidently.
- RAG / retrieval — chunking, embeddings, a vector store, and retrieval that actually returns the right passage. Most “the AI is wrong” problems are retrieval problems, and that is where we spend the time.
- Machine learning — classification, forecasting, recommendation, and computer-vision models, plus the data pipeline and feature work around them.
- Model integration — wiring OpenAI, Anthropic, or open models (Llama, Mistral) into your stack behind a clean interface, with cost tracking and rate-limit handling.
- MLOps — evaluation harnesses, versioning, monitoring for drift and regressions, and a deploy path so a model change is a normal release, not a science project.
How we work
We start with a narrow, measurable use case and a baseline, because “add AI” is not a spec. We define what a good answer looks like, build an evaluation set first, then iterate the prompt, retrieval, or model against it. You see numbers — accuracy, latency, cost per request — not vibes. When the value is proven on the narrow case, we widen it.
When you do not need a model
We will tell you when a rule, a search index, or a small classifier beats a large language model on cost and reliability. An LLM is the right tool for open-ended language; it is the wrong tool for a job a regex solves. Honest scoping is part of the work.
Why us
We are an AI-first engineering agency: we use these tools every day to ship faster, and we bring that to your product. Senior engineers own the build end to end, the code is yours, and every model in production has an evaluation set behind it. Tell us the outcome you want and we will tell you the shortest path to it.
Ready to ship an AI feature that holds up in production? Let’s talk.
