
VitVio, a Boston, MA-based AI-powered platform that digitizes operating rooms in 3D using ambient sensing and computer vision technologies, has raised $8 million in a Seed round.
Investors
The round was led by Bek Ventures, with participation from LDV Capital, Tiny Supercomputer Investment Company, Balnord, Thornapple River Capital, Joe Mullings, and Mati Staniszewski of ElevenLabs.
Bek Ventures is a global venture capital firm focused on investing in early-stage technology startups with roots in emerging Europe, particularly Central and Eastern Europe (CEE), and global ambitions. With over $600 million in committed capital across its active funds, Bek typically invests in Seed and Series A rounds. The firm has offices in Istanbul, Luxembourg, London, and New York.
VitVio Use of Funds
The company will use the funds to scale operations, expand its presence in major U.S. hospitals, and grow its engineering and operations teams to meet rising demand.
About VitVio
Founded by Thomas Knox, Dr. Peter Rennert, Maks Kozarzewski, and Aleks Pajewski, VitVio is an AI-powered platform that autonomously coordinates operating room (OR) staff, flags delays, and reduces the administrative load on surgical teams. Using AI, computer vision, and ambient sensing, VitVio creates a real-time 3D digital model of the operating room to understand who is doing what, when, and where—without manual input. Headquartered in Boston, Massachusetts, with offices in London, UK, and Wilmington, Delaware, VitVio’s mission is to bring a new level of efficiency and visibility to hospital operating rooms.
Funding Details
Company: VitVio Ltd.
Raised: $8.0M
Round: Seed
Funding Date: October 2025
Lead Investor: Bek Ventures
Additional Investors: LDV Capital, Tiny Supercomputer Investment Company, Balnord, Thornapple River Capital, Joe Mullings, Mati Staniszewski
Company Website: https://vitvio.com/
Software Category: Healthtech / AI for Healthcare Operations
Source: https://www.globenewswire.com/news-release/2025/10/23/3172080/0/en/VitVio-Closes-8M-Seed-to-Boost-Operating-Room-Efficiency-and-Ease-Staff-Burden-with-AI-Ambient-Sensing.html