SAID Translations

Hey everyone — Anthony from the SAID Translations team here. Why we built SAID In busy clinics I kept seeing two problems: sky-high interpreter bills and long waits that left patients anxious while staff scrambled for phone lines. We wanted a tool that could sit in every pocket, erase the language gap instantly, and still meet hospital privacy rules. What makes this launch different Entirely on-device: SAID translates more than fifty medical languages without touching a server, so no internet and no data risk. Clinically tuned models: We trained SAID on medication names, consent phrasing, and triage questions so doctors get context-aware results instead of literal word swaps. One-tap transcripts: If a provider needs documentation, they can export an encounter straight into the EHR or a PDF while never leaving the bedside. What we are most proud of Running a large healthcare-specific language model offline on an iPhone feels like science fiction come true. It means rural clinics, field hospitals, and emergency departments can all give every patient a clear voice without extra hardware or monthly service contracts. We would love your thoughts: What features would make SAID even more useful in your workflow? Drop any questions or ideas below—our team is here and listening!