Care that reads
the room again.
We rebuild the everyday around clinicians — ambient documentation, decision support at the bedside, and quiet automation across the back office. The gains show up on outcomes and on cost.
Modern medicine is
drowning in paperwork.
The average nurse loses 2–3 hours a shift to documentation, and physicians see burnout climb quarter over quarter.
Ambient copilots listen, draft and file inside the EHR the team already uses — no new tab, no new screen.
Radiology, pathology and labs generate more data than any one specialist can triage in a single day.
Vision and language models surface the outliers, ranked by clinical risk, with reasoning a physician can audit in seconds.
Prior auth, coding, claims and scheduling absorb operational cost that never reaches a patient.
AI agents handle payer conversations, code encounters, and rebalance schedules — measured against denial rates and DSO.
From a stubborn business problem
to a number on the board.
Time with patients is being lost to the keyboard.
Ambient audio, structured intent, EHR context — reasoned together.
Notes, orders and referrals draft themselves for clinician review.
Nurses back at bedside. Documentation caught up before the shift ends.
What changes when clinicians stop typing
and start looking up.
Measured across live deployments in acute care, ambulatory and payer operations — reported by the hospitals themselves, not by us.
What it looks like
on the ground.
Ambient clinical documentation
A physician conducts the visit as they always have. A copilot listens, drafts a structured note, and files it in the EHR — ready for a two-minute review instead of a forty-minute rewrite.
Twelve hours back to every nurse, every week.
An ambient documentation copilot replaced the after-shift charting ritual across 84 units. Nurses talk. The system listens, drafts, redacts and files — inside the EHR they already use.
Chosen by health systems that measure everything.
Every engagement is co-led by practicing physicians, nurses and health data scientists. The work is designed by the people who do it.
PHI never leaves your environment. Models run in your VPC, on your keys, with per-encounter access controls and forensic-grade logs.
Every clinical recommendation carries its own reasoning trace. Nothing is autonomous where a human should decide.
The platform is engineered for enterprise deployment across sites, service lines and payer geographies — not for a single showcase unit.
We embed with your operational and clinical leadership for the life of the program — not for the length of a statement of work.
Straight answers,
before the pitch.
All models run in your cloud tenancy, under your identity and encryption keys. PHI is never used for training. Every prompt, response and clinical suggestion is logged with per-user, per-encounter auditability.
Yes — Epic, Cerner, Meditech and Athenahealth are supported through their native APIs. We do not replace the EHR; we operate inside it so clinicians never learn a second interface.
Ambient documentation typically returns measurable clinician time within four weeks of a unit going live. Diagnostic and back-office use cases follow within one quarter.
No. Clinical recommendations are drafted, ranked and explained — a licensed provider approves every one. Autonomy is reserved for administrative work where a human decision adds no value.
A four-week discovery: we shadow the work, quantify where hours and dollars are actually leaving the building, and return with a live prototype against your data before any long-term commitment.
Give the day
back to the ward.
A single conversation with our healthcare practice. No slides. No obligation. Just the frank read on where AI would earn its keep in your business.