[ai/ml]
AI/ML Integration & Automation
AI features that hold up in production, not just in a demo. We wire LLMs to your own data and workflows, then put evaluation and guardrails around them before they ever touch a real user.
LLM-powered features: chat, search, summarization, and agents
RAG pipelines wired to your own data, not a generic prompt
Workflow automation that removes manual steps, not just adds a chatbot
Evaluation and guardrails so AI features are production-safe
Frequently asked
Which LLMs or AI providers do you work with?
We're not locked to one vendor — the model gets chosen against your latency, cost, and accuracy requirements, and we build so swapping providers later isn't a rewrite.
Can you add AI to a product we already have, or only new builds?
Mostly the former — most of this work is wiring AI into an existing product and its existing data, not building something from a blank slate.
How do you keep AI features from embarrassing us in production?
Evaluation sets and guardrails before launch, not after a bad output goes viral — we test against real edge cases from your domain, not a generic demo prompt.
Have a project in mind?
Let's talk about what you're building. Book a 30-minute call, no forms to fill first.