Custom AI Systems
We build production AI systems, not demos. Agents that call real tools, structured output your code can trust, and integration into systems that already have to be reliable.
Large language models are good at sounding right. Our job is making sure your systems are actually right — grounded in your data, wired into your tools, and held to the same standard we bring to real-time data acquisition and embedded systems.
We build production AI systems, not demos. Agents that call real tools, structured output your code can trust, and integration into systems that already have to be reliable.
Turning ChatGPT and other LLM APIs into something your team can actually run: access controls, cost and rate limits, logging you can audit, and a fallback path for when the model gets it wrong — the unglamorous engineering that separates a pilot project from a product.
An LLM is only as good as what it can look up. We build the retrieval layer — indexing your documents, your data, your systems — so answers are grounded in what's actually true, not what the model remembers from training.