ENCOUNTERai generates comprehensive clinical documentation trained on your own writing style. Not a template, not a transcription. You describe the patient. HAL writes the note the way you would have.
AI scribes listen to your conversation, transcribe it, then ask you to review the transcript. You're narrating your exam findings out loud, editing hallucinated text, and spending more time fixing the note than it would have taken to write it yourself. ENCOUNTERai is different. Tell HAL the clinical facts, as much or as little as you want, and get a complete encounter note in seconds. Assessment, plan, HPI, and ROS generated from your documentation patterns. Physical exam prepopulated from your standard templates. Review the output, tell HAL what to change. "HAL, update the physical exam to include bilateral rales and diminished breath sounds." The note updates instantly. No recording. No narration. No duplicate data.
"45yr male, COVID19, severe cough, fever 103, unvaccinated, difficulty breathing."
That's it. HAL searches your documentation history for the closest clinical match and generates a note that reads like you wrote it.
Trusted by providers across multiple specialties
ENCOUNTERai is trained on your encounter notes, processed through MDMai, to learn how you document. Your word choices. Your clinical reasoning patterns. Your assessment structure. The same clinical input generates different notes for different providers, because no two physicians chart the same way. Physicians who use tools that learn their style stay with them. Generic templates get abandoned.
ENCOUNTERai doesn't just generate what you told it, it fills in what you didn't. If your documentation history shows you always order D-dimer for COVID patients with dyspnea, ENCOUNTERai includes it, even if you didn't mention it. Predictive, not just generative. Every note is built from your MDMai-processed documentation history, so problem complexity, risk language, and clinical reasoning are already there. What used to take 15-20 minutes now takes seconds of input and a quick review.
HAL eCM (Encounter Capture Mode) gives you ambient documentation when you want it. But where we differ: if the dictation has gaps, HAL fills them in based on your documentation patterns. Not generic filler. Your clinical voice. And unlike standalone AI scribes, eCM never stores your conversation audio. Two paths. Same result. Choose how you work.

ENCOUNTERai wasn't born from a market report. It was born from watching a board-certified infectious disease specialist come home after a full day of rounding, then spend another 6 to 10 hours creating encounter notes inside an EHR. Templated fields that still need hours of editing. Notes done just well enough to get through the day. Not because she doesn't care, but because the system made it impossible to do better. That's where healthcare breaks. Not at the policy level. Not at the insurance level. At the encounter note. Every downstream problem, denied claims, lost revenue, audit risk, incomplete clinical data, traces back to documentation that was never given the time it deserved. We built ENCOUNTERai to fix the root cause.
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Every provider gets their own isolated training pipeline. Your encounter notes train only your model. No other provider can access your data, and your documentation patterns are never shared. No conversation audio is recorded or stored. HIPAA compliant. BAA available. You review every note. You own every note. The AI assists. You decide.
Every provider gets their own isolated training pipeline. Your encounter notes train only your model. No other provider can access your data, and your documentation patterns are never shared. No conversation audio is recorded or stored. HIPAA compliant. BAA available. You review every note. You own every note. The AI assists. You decide.