LLM Engineering
Why Your RAG System Is Hallucinating (And How to Fix It)
Most RAG failures aren't model problems — they're retrieval problems. Here's our production checklist for building reliable retrieval pipelines.
You bring the idea. We handle everything else, from data to deployment. Computer Vision and Custom AI Engineering so you can focus on the business.
A 48-hour deep dive. Is your data ready? Is the tech possible? Stop guessing, start building.
Come to us with just an idea. We scope the project, structure every task, gather data, build annotation pipelines, train models, and deploy — all within a fixed timeline. One client had a demo in 2.5 months: we went from zero to a real-time model running on iPad.
Long-term fractional AI Engineering. We don't just build the model; we integrate it into your production stack.
Client had 1M+ product images per month requiring manual inspection. We built a custom CNN classifier with edge deployment, processing images in <50ms on factory-floor hardware.
Technical depth without the jargon. Articles designed for decision-makers building AI products.
Most RAG failures aren't model problems — they're retrieval problems. Here's our production checklist for building reliable retrieval pipelines.
A camera is just a sensor. When does the cost of a CV pipeline outweigh a $5 IoT sensor? A framework for the decision.
Infrastructure, data labeling, and iteration cycles are the hidden 80%. How to budget for AI projects that actually ship.
Whether you need validation, a prototype, or a full production system, we'll find the right path forward.