We help you embed AI where it actually moves the needle: smart search, chat assistants, content generation, and agentic workflows. We focus on practical integrations with measurable ROI, not science projects.
From RAG-powered document Q&A to automated customer support and internal copilots, we design, build, and deploy AI features that are safe, observable, and tied to real business outcomes.
What you get
- ✓AI chatbots & assistants
- ✓Retrieval-augmented generation (RAG) over your data
- ✓Content generation & summarization
- ✓Agentic workflows & tool use
- ✓Vector search & semantic recommendations
- ✓LLM observability & guardrails
How we work
Discover
We identify high-ROI AI use cases tied to real workflows.
Prototype
A working proof of concept on your data, fast.
Harden
Guardrails, evals, observability, and cost controls.
Deploy
Production rollout with monitoring and iteration loops.
Technologies we use
Frequently asked questions
Can you build AI features on our private data?+
Yes. We use retrieval-augmented generation (RAG) so the model answers from your documents and data, not its training set. Your data stays under your control, and we can host everything on your own infrastructure if required.
How do you keep AI responses accurate?+
We build guardrails, evaluation suites, and human-in-the-loop review for high-stakes answers. We also monitor responses in production so we can catch regressions and improve prompts over time.
What does an AI integration cost?+
A focused prototype can start at $2,500, while production AI features with guardrails and monitoring typically range from $8,000 up. We scope tightly to avoid open-ended costs.