AI Integration
Add AI that actually works to your product.
Agents, RAG, chatbots, and automation wired into your real product and data — not a demo that falls over the moment real users arrive.
Tell us where you want AI in your product.
Fixed scope or monthly
Engagement
OpenAI, Claude, open models
Stack
Accuracy, cost & guardrails
Focus
Bolting a chatbot onto your site is easy; making AI that's accurate, cost-controlled, and safe in production is the hard part — and it's the part we do. We connect real models to your real data and workflows, measure whether they actually work, and put guardrails around cost and misuse before you ship. The result is AI that earns its place in your product, not a flashy demo that quietly breaks.
What's included
Custom AI agents
Autonomous agents that reason, call your tools, and complete real tasks — support, research, data entry, ops.
RAG over your data
Answers grounded in your docs, products, and policies — with citations, and sub-second retrieval from a vector store.
Chatbots & assistants
An assistant trained on your business that answers, books, and hands off to a human at exactly the right moment.
LLM automation
Summarization, extraction, classification, and content workflows that replace hours of manual work.
Cost control & guardrails
Caching, rate limits, prompt-injection defenses, and budgets — so spend and risk stay predictable.
Evaluation
We measure accuracy against real cases, so you ship on evidence, not vibes — and know when a model regresses.
How it works
Find the use case
We identify where AI actually moves the needle for you — and, honestly, where it doesn't.
Build & evaluate
We wire the model to your data and workflows, then measure it against real cases before it goes live.
Ship with guardrails
Cost controls, monitoring, and human handoffs in place — then we watch it in production with you.
A good fit if
- You want AI features in your product that hold up with real users and real data
- You need someone who cares about accuracy, cost, and safety — not just a demo
- You have a workflow that's begging to be automated with LLMs
Probably not, if
- You want AI added purely as a buzzword with no real use case behind it
- You need a research lab training foundation models from scratch