A copilot is an assistant that lives inside your product and helps a user get something done: drafting, answering, suggesting the next step. We build it into the tool your users already work in, and we ground it in your content so its answers are specific and useful.
Features that draft, rewrite, summarise or restructure text on demand. The hard part is making the output reliable: tuning the prompts, setting the tone, and holding the model to the facts so it doesn't make things up. On Fyl we built a summary engine that turns recordings into fact-only summaries, tuned to stay strictly to what was said.
Features that create or edit images from a text prompt or an existing asset, built into your product with the controls and review your case calls for.
Speech in and speech out: live voice interactions, transcription, and turning recordings into clean summaries. Lizzy AI runs live voice interviews on OpenAI's Realtime models, then transcribes and scores each conversation, while SOARR transcribes and summarises patient encounters into structured medical notes. For transcription, we use models like Deepgram and tune them for accuracy, down to punctuation, speaker labeling, and custom vocabulary for names.
Chat that answers questions using your own content. We ground the model in your data so replies stay on-topic and accurate. We've done this on a client's own product catalogue, switched a live chatbot from one model to another when that made sense, and worked out the AI running costs up front so there are no surprises later. When a grounded-knowledge product is the whole point of the build, that becomes our LLM & RAG work.