Service
AI Engineering
We build AI applications that move beyond demos into dependable products — AI agents, assistants, and RAG systems grounded in your own data. And for organizations that cannot send data to a public AI cloud, we run open models privately, inside your own environment, so nothing leaves your walls.
What we do
- AI agents & assistants — internal copilots, customer-facing assistants, workflow automation
- RAG / “chat with your documents” — search and Q&A over your own knowledge
- Private & self-hosted AI — open models (Llama, Mistral) running inside your cloud, VPC, or on-prem
- Improving the AI you already have — better grounding, retrieval, and evals for in-house copilots
- LLM integration into existing products and data platforms
- Evaluation, guardrails, and monitoring for production-grade reliability
What you get
- A production AI application or assistant grounded in your data
- A private deployment option that keeps data inside your environment
- Retrieval / data pipelines feeding your AI system
- An evaluation suite, guardrails, and cost controls
Tech we use
FAQ
Can we use AI without sending our data to a public cloud?
Yes — this is a core part of what we do. We deploy open models privately, inside your own cloud account, VPC, or on-premise environment, so your data never leaves your control. It is the route most regulated and security-conscious organizations take.
Our internal AI assistant underperforms. Can you help?
Often, yes. Most in-house assistants fail on retrieval and grounding rather than the model itself. We improve the data pipeline, retrieval quality, and evaluation so the assistant gives reliable, useful answers.
How do you keep generative AI reliable?
We treat evaluation as a first-class deliverable — building test sets and automated evals so changes are measured, not guessed, before they reach users.
Have a data, ML, or AI challenge?
Book a 30-minute call. We'll tell you straight whether and how we can help.
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