An AI development company that ships.
Not just demos.
We're an AI development partner, not a research lab. We build LLM integration, RAG systems, and AI automation into real products and get them to production. The goal is simple. AI your customers actually use, not a clever prototype that dies in a slide deck.
What an AI development company should actually do
LLM API Integration
We wire OpenAI, Anthropic Claude, and Google Gemini into the product you already run. Chatbots, content generation, smart search, automated analysis. The hard part is never the API call. It's keeping the cost predictable and the output reliable once real users show up, and that's the part we've done before.
RAG Systems
Retrieval-augmented generation grounds the model in your own data instead of letting it guess. We've found that's what separates a demo from something you can put in front of a customer. Fewer made-up answers, real citations, and replies that come from your knowledge base rather than the open internet.
AI Automation
Document processing, data extraction, content moderation, the first-pass triage on a support queue. These are the jobs nobody on your team wants to do by hand. We build the automation that handles the boring 80 percent and routes the genuinely tricky cases to a person.
Custom AI Features
Smart recommendations. A natural-language way to query your data. Sentiment scoring on incoming messages. We build AI features that fit the product you have, not a generic bolt-on, and they ship into your existing stack rather than living off to the side.
AI Strategy, When You Need It
Not sure where AI actually earns its keep in your business? We'll sit down, map your workflows, and point at the one or two places worth building first. Then we give you a plan you can run with, even if you decide to build none of it with us.
Full-Stack AI Builds
Plenty of shops hand you a model and walk away. We build the whole thing. The AI layer, the backend that feeds it, the interface your users actually touch, and the infrastructure it runs on. One team, start to finish, so nothing falls through a handoff.
We've shipped software at real scale
AI is the new layer, but the discipline underneath it isn't new to us. We've built and run products that hold up under load. One EdTech app we built serves 250K+ daily active users. An exam platform we engineered handles 10M+ requests a minute on peak days. A fleet-tracking system we built tracks 30K+ vehicles in real time.
That's the muscle we bring to an AI build. 50+ products shipped, a 4.9 star rating across 24+ client projects, and a team that has felt what it's like when a feature meets a million users at once. We'd rather tell you that than hand you a testimonial you can't verify.
Frequently asked questions
Do I need a data scientist to add AI to my product?+
For most AI integration work, no. The modern LLM APIs from OpenAI, Anthropic, and Google are built for experienced full-stack engineers, and that's exactly who handles them on our team. The one real exception is training a custom model from scratch. That genuinely needs specialized ML people, and most products never need it.
How much does it cost to build AI into a product?+
In the market today, a straightforward LLM integration usually runs $10,000 to $20,000, and a RAG-based knowledge system tends to land somewhere between $25,000 and $50,000. Running it costs a separate $100 to $2,000 a month in API usage, depending on traffic. Those are market ranges to plan against, not a fixed quote. We'll give you a real number once we understand your use case.
How do you stop the AI from making things up?+
Hallucinations are the thing that sinks most AI features, so we design against them from the start. RAG keeps answers tied to your actual data. We score the model's confidence and flag the shaky ones. For anything high-stakes, a human stays in the loop. And we watch the output in production rather than assuming it stays good. None of it is magic, but together it cuts the made-up answers way down.
Tell us what you want AI to do
Book a free 30-minute scoping call. We'll pressure-test your use case, sketch the AI architecture, and map a rough cost and timeline you can take to your team. No pitch, no obligation, and you walk away with a plan whether or not you build it with us.
Get a free AI scoping call↗50+ products shipped · 4.9 rating across 24+ client projects · AI built for production