AI Development
A lot of "AI features" are a chatbot bolted onto a product with no real connection to how the business actually works, and they get abandoned within a quarter. We start from the opposite direction: what decision or task is slow or manual today, and does AI genuinely make it faster or more accurate — or is a simpler rule-based system actually the better answer? When AI is the right tool, we build it grounded in your real data through retrieval pipelines rather than hoping a model "knows" your business, evaluate it against real cases before shipping (not just a demo that impresses in a meeting), and design for the failure cases — because every AI feature fails sometimes, and what matters is what happens next.
A scoped feature like an internal automation or RAG-based assistant starts lower; custom model work or multi-agent systems scale up based on data and infrastructure needs.
What’s included
- LLM integration and RAG pipelines
- Custom model fine-tuning
- Workflow automation with AI agents
- Data pipeline and vector infrastructure
- AI feature prototyping and evaluation
- Ongoing model performance monitoring
Technologies
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Tell us about your project and we’ll get back to you.