Fully Autonomous Surgical Robot Maker Aleph Surgical Raises $7.5M Pre-Seed

Most of the money flowing into physical AI so far has chased industries with cheap, abundant labor — warehouses, logistics, agriculture. Aleph Surgical is betting on the opposite end of the spectrum: surgeons, among the scarcest and most expensive labor on the planet. The company says it has raised $7.5 million in pre-seed funding.

Training a single surgeon takes more than a decade and millions of dollars, and even then, access to high-quality surgical care varies enormously depending on where you live — too many people still can’t get the care they need. Aleph’s answer is to build a surgeon that scales: one system that can acquire, refine, and transfer surgical skills across procedures. In a research preview published in March, the company showed its model performing vascular anastomosis — a benchmark task requiring high dexterity and delicate manipulation across long time horizons and variable anatomy, among the most demanding tasks learned policies have achieved in or out of the surgical domain.

What the company says sets it apart is its approach. Existing autonomous surgical systems rely on deterministic kinematic planners, or, in research labs, brittle task-specific policies. Aleph instead trains embodied foundation models, built on four pillars: pretraining across internet-scale data spanning modalities, tasks, and embodiments to ground the model in a rich world model and surgical understanding; hierarchical reasoning that decomposes high-level goals into executable subtasks to stay coherent across long procedures; a purpose-built embodiment called Mark 0, designed from the ground up to leverage pretrained representations rather than retrofitted from robots built for human teleoperation; and what it calls “fluid intelligence” — decoupling the frequencies of thought, sensation, and action so movement stays continuous and reactive in real time.

Academia has already hinted this approach is viable. In July 2025, Johns Hopkins researchers reported in Science Robotics that a robot removed a gallbladder from a pig cadaver fully autonomously, without any human help. Across eight previously unseen pig organs, the robot judged the situation, caught and corrected its own mistakes, and completed the procedure every time. Aleph is an early-stage bet on turning that kind of academic result into a commercial autonomous surgery platform.

The company was founded by brothers Dylan McGuire and Ryan McGuire. Dylan, a computer science student, worked as a forward-deployed software engineer at Palantir in the first half of 2024 before leaving to start Aleph; he and Ryan, a UC Berkeley graduate, describe themselves as having built the world’s first surgical foundation model.

The $7.5 million round was led by Andreessen Horowitz (a16z), with participation from BoxGroup, Reveille VC, Constellation, FDVC, Valkyrie Ventures, Discipulus Ventures, and Maniac Ventures. The company said it’s building a team of exceptional engineers, surgeons, and operators.

The Competition

Autonomous surgical robotics is still an extremely early market, and the last few months have drawn a sharp line between winners and losers. YC-backed Andromeda Surgical is developing AI-guided autonomous surgical robots for natural orifice urology procedures and raised a $15.1 million Series A this August. Vicarious Surgical, a Bill Gates-backed company building a VR-controlled robotic-arm teleoperation system, raised roughly $300 million cumulatively but ran out of cash and entered bankruptcy liquidation this year — a reminder of how capital-intensive and risky autonomous surgery bets can be. Market leader Intuitive Surgical continues adding capabilities like camera automation and augmented dexterity to its da Vinci platform, but has explicitly staked its strategy on augmenting surgeons rather than replacing them, a markedly different bet than full autonomy.