AI applications

Generative AI is on everyone’s mind. We have been applying it for a while and we have learned two things.

First: most business problems are solved better by integrating a well-targeted language model than by reinventing the wheel. Second: there are scenarios where having the model on your infrastructure gives you better control over cost, latency and data than depending on an external provider. Choosing well between the two options is where we earn our keep.

What we do

• We integrate LLMs into your processes. Internal assistants over your corporate documentation, agents that automate flows, and extractors that pull useful information out of documents nobody has time to read today.
• We train custom models when it fits. If your task is concrete and repetitive, we train a specific model that runs on your infrastructure. Known cost, limits under your control and data that stays inside your organization.
• AI-powered phone systems. Synthetic voice, natural language understanding and CRM integration. Live in production with metrics you can show at the next review.
• Anything else that makes sense. If you can think of something generative AI could do for your business, tell us. We assess whether it makes sense, tell you what to realistically expect, and help you decide whether it is worth starting.

How we start

With a small pilot. Weeks, not months. If it delivers measurable value, we scale it. If the result falls short, we close the pilot with lessons that apply to the next decision.

An approach that lets you decide with data whether it is worth scaling, instead of having to bet on expectations.