AI stopped being a buzzword and became a real lever for cutting costs and unlocking product ideas that weren't practical before. We build AI-powered features and standalone AI products: from a chatbot handling first-line support to a recommendation engine driving ecommerce revenue to internal tools that automate work your team currently does by hand.
We're pragmatic about it — not every problem needs a large language model, and we'll tell you when a simpler rule-based system will do the job faster and cheaper. When AI genuinely is the right tool, we handle the full stack: data pipeline, model selection or fine-tuning, integration with your existing systems, and the monitoring needed to catch a model drifting or hallucinating before your users do.
Every engagement starts the same way: a short discovery phase to figure out whether the problem is actually solvable with the data you have, followed by a small working prototype before we commit to a full build. That order matters — it's much cheaper to discover a model won't hit the accuracy you need in week two than after months of integration work.
On the technology side, we work with both hosted LLM APIs (OpenAI, Anthropic, and others) and open-source models you can run on your own infrastructure when data privacy or cost at scale makes that the better call, plus classical machine learning and computer vision where a full language model would be overkill. We fine-tune when it earns its keep and use retrieval-augmented generation and prompt engineering when it doesn't.
Once something is live, the work isn't over — we build in monitoring for cost, latency, and output quality, and keep a human-in-the-loop review step anywhere a wrong answer would actually hurt your business, rather than shipping a model and hoping it behaves.
Typical projects:
- AI-powered chatbots and virtual assistants
- Content and image generation tools
- Recommendation and personalization engines
- Document processing and data extraction
- Predictive analytics built on your own business data
