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Scribara/About

We are building the cognitive layer between physician and patient.

Specialty medicine is the highest-skill labor in the modern economy. It's also the most over-administrated. Scribara is the company that ends the administrative tax on clinical thinking.

Thesis

The thesis, in three sentences.

As foundation models cross the threshold of reliable autonomous reasoning, an entire layer of human cognitive labor becomes economically obsolete. The specialty patient encounter — note, code, auth, referral, follow-up — is that layer in medicine. Scribara is the team building the vertically-integrated agent-native system that owns it.

What we believe

A few specific opinions.

Vertical beats horizontal.

Generic agents will never out-execute a focused team on a specific clinical workflow. Depth wins.

Reliability is the product.

In medicine, "demo-ware" is malpractice. Every shipped feature is gated on an eval that asks "would a board-certified specialist sign this?"

Replace labor, not seats.

Pricing is anchored to hours returned. We sell against the headcount line, not the software line.

Audit trail is sacred.

Every output traceable to source. Every action signed. The compliance officer is our co-designer.

Design is moat.

In an era of commodity models, craftsmanship is the durable differentiator. Every screen is the work of a designer who's stood in an exam room.

Quiet beats loud.

The best clinical tool is the one the patient doesn't notice. Scribara has no logo on the screen during the visit.

Team

The founding team.

Veterans of clinical AI, applied ML, and the EHR integration trenches. Plus a permanent forward-deployed seat with the design partners who teach us what we don't know.

AM

Adit Mahajan

Co-founder, CEO

Previously product lead on the clinical reasoning team at a leading EHR vendor. Stanford MS CS.

RL

Renata Liang, MD

Co-founder, CMO

Practicing cardiologist, 11 years. UCSF residency. Led the AHA AI working group.

JK

Jonas Krieger

Co-founder, CTO

Built the agent runtime at a frontier lab. ML PhD, Toronto. Open-source veteran.

SD

Sara D'Avella

Founding Designer

Design lead on three category-defining SaaS products. Spends one day a week in an exam room.

Backed by

Investors and clinical advisors.

We took capital from people who understand both frontier AI and clinical workflow — and whose patience is measured in decades, not quarters.

Sequoia Capital
Andreessen Horowitz
Founders Fund
Khosla Ventures
SV Angel
Pear VC
Operating principles

How we work.

Principle 01

One workflow, ten times better.

We do not ship a feature until it is a dominant choice on its own. No category checkbox features.

Principle 02

Customers in the room.

Every engineer ships into production every week. Every PM has a clinician on speed-dial. Every designer has shadowed.

Principle 03

Evals before opinions.

Every belief about model quality is testable, and tested. Production-shadow eval runs continuously.

Principle 04

Quiet, by default.

The product earns its place in the room by not asking for one. Marketing tone follows.

Join us

Help us return time to medicine.

We're hiring across applied ML, clinical product, and forward-deployed engineering.