• Qventus

  Participated · Series D · Jan 2025

  Qventus provides AI-based software that automates care operations across operating room and inpatient settings. The platform integrates with EHRs and leverages Generative AI, machine learning, and behavioral science to predict operational bottlenecks, recommend remedies, and automate processes. Its core offerings include Surgical Growth/Perioperative and Inpatient Capacity solutions that help care teams optimize patient flow and reduce cognitive load. In the last year its Inpatient Solution eliminated over 36,000 excess days for health system partners, saving them millions, and its Perioperative Solution generated $95M in annualized contribution margin in 2024 through Qventus-enabled cases. Led by CEO Mudit Garg and founded in 2012, the company intends to expand its AI Operational Assistants into new care settings beyond its current solutions. It plans to use recent funding to accelerate development and commercialization of those solutions. Qventus offers an AI-based SaaS platform purpose-built to automate care operations, integrating with EHRs and using AI, machine learning, and behavioral science. Its solutions target inpatient, perioperative, emergency department, and command center functions to improve operational workflows. The company partners with leading health systems, including Boston Medical Center, HonorHealth, M Health Fairview, Mercy, and Saint Luke’s Health System. Qventus is led by co-founder and CEO Mudit Garg and continues to expand its footprint across U.S. hospitals. Financially, the company recently attracted outside funding, including a $3M investment tied to prior growth financing announced in February 2022. Qventus provides AI-based software for care operations automation that integrates with EHRs. The platform uses AI, machine learning, and behavioral science to power practice solutions for inpatient, perioperative, emergency department, and command center settings. It partners with health systems including Boston Medical Center, HonorHealth, M Health Fairview, Mercy, and Saint Luke's Health System. Reported outcomes include fewer excess days, reductions in length of stay, and new cases added per operating room per month. The company is led by CEO Mudit Garg. Qventus plans to use the funding to expand its technology to additional hospitals and health systems across the United States. Qventus offers an AI/ML-driven software platform that streamlines and automates hospital workflows to improve flow, throughput and patient experience across emergency departments, perioperative areas, inpatient units, pharmacy and outpatient access. The platform acts as a “System of Action,” combining data, technology and people to enable real-time decision making and collaborative issue mitigation. Qventus provides modular capabilities for ED flow, perioperative scheduling, inpatient operations, patient safety and pharmacy operations. The company reports deployments at major U.S. health systems including NewYork-Presbyterian, Emory Healthcare and the Mercy health system, and its software has enabled more than 3.8M patient encounters to date. Qventus is based in Silicon Valley/Mountain View and plans to use new capital to continue rapid expansion of its AI-based platform across health systems. analyticsMD, based in Mountain View, CA and led by CEO Mudit Garg, provides an AI-powered hospital operations software platform. The platform collects large amounts of messy healthcare data, processes it in real time to predict issues and outcomes, and recommends immediate course-corrections that are sent to frontline teams. It addresses operational challenges across emergency departments, perioperative areas, inpatient and outpatient settings. The software is used by community, academic and public hospitals including Lucile Packard Children’s Hospital Stanford, El Camino Hospital, Sutter Auburn Faith Hospital, St. Joseph’s Medical Center, Medstar Montgomery Medical Center, Natividad Medical Center and Mercy. analyticsMD plans to use new funding for product development and to accelerate delivery of its AI platform to U.S. health systems.

• Diligent

  Participated · Equity · Sep 2023

  Diligent’s core product, Moxi, is a robotic system designed to provide helping hands to overworked healthcare providers by carrying supplies and supporting hospital workflows. The company expects to have north of 100 Moxi units deployed across 22 U.S. hospital systems by year-end. Over the past year and a half Diligent has been deploying new implementations and responding to increased demo requests from health systems. It plans to triple its reach in the United States, expanding into new health systems and adding hospitals within existing networks. Planned product work includes new hardware to diversify payloads, new product lines to extend Moxi’s use cases, integrations with electronic medical records, and intelligent applications to improve care models. Diligent is also exploring generative AI for natural language controls and has been using advanced AI in its perception pipeline. The company raised capital to boost production and R&D as it scales operations and platform capabilities. Diligent develops robot assistants intended to assist nurses. The company raised $30 million, according to a vc.ru article. The article does not provide details on the financing instrument, valuation, or participating investors. The report also does not include revenue, user, founding-year, or location information. An inline comment in the article praised the effort, noting the importance of supporting medicine and adopting technology. Beyond the $30M raise and the product focus, the article offers no additional operational or strategic details.

• Diligent Robotics

  Participated · Equity · Sep 2023

  Diligent Robotics develops Moxi, a socially-intelligent robot teammate that automates hospital tasks such as deliveries of supplies, equipment, medications and lab specimens to augment staff and improve operational efficiency. Led by Dr. Andrea Thomaz and Dr. Vivian Chu and based in Austin, TX, the company deploys Moxi across health systems to enable programs like Meds to Beds, Just in Time Logistics and Virtual Nursing. Moxi is currently adopted by more than 22 health systems representing over 200 hospitals nationwide, including NorthShore–Edward-Elmhurst Health, MultiCare Health System, the University of Texas-affiliated network and Northwestern Medicine. The company raised $25M in a financing led by Canaan with participation from True Ventures, DNX Ventures, Next Coast Ventures and new strategic investor Northwestern Medicine Innovation; Rich Boyle from Canaan will join the board. Diligent will use the funds to accelerate systemwide expansions of Moxi across hospitals nationwide, enhance product development, and triple its market footprint over the next 24 months. Diligent Robotics is an Austin, TX-based robotic automation company focused on the social robotics space, building robots with social intelligence and mobile manipulation to help people in work environments. Led by co-founders Dr. Andrea Thomaz and Dr. Vivian Chu, the company debuted Moxi in 2018, a collaborative robot assistant that helps clinical staff with routine, non-patient-facing tasks including fetching and delivering supplies, medications, and lab samples. In December 2022 the company raised over $30M in a Series B financing. The company intends to use the funds to optimize supply chain and design teams. Diligent Robotics plans to continue enhancing interoperability and driving purposeful integrations with existing hospital infrastructure, electronic health records, and clinical communications to help meet demands during the persistent nursing shortage. Diligent Robotics develops Moxi, a mobile hospital droid with a flexible arm, gripper hand, adjustable height and social signals that fetches lightweight medical supplies and navigates crowded hallways. The company has worked side‑by‑side with nurses to refine Moxi’s capabilities and is on its fifth hardware generation. It currently employs an 18‑person team and has two deployed robots in Dallas while working with two of the three top U.S. hospital networks. Hospitals purchase Moxi with an upfront fee and then pay a monthly charge for software, services and maintenance. The startup plans to scale deployments, expand Moxi’s use cases, add on‑robot learning so nurses can teach tasks on the fly, and eventually explore applications in nursing homes and consumer homes. Financially, Diligent has taken a measured deployment approach to convince risk‑averse hospital buyers and differentiate via social intelligence rather than replacing clinical staff. Diligent Robotics develops Moxi, a mobile robot with a dextrous arm and "social intelligence" designed to handle non-patient-facing hospital chores such as lab sample delivery and linen removal. The company was founded in 2017 and focused its early deployments on healthcare, beta testing Moxi in four U.S. hospitals. Moxi exited beta and entered market with its first official rollout in a Texas hospital. Diligent emphasizes human-guided learning and expressive motions to help staff feel comfortable around the robot. The startup has raised multiple funding tranches and a National Science Foundation grant to support product development and commercialization. Management says proceeds will be used to launch Moxi for hospital customers and to advance hardware and software product strategy. Diligent Robotics is an Austin, Texas-based robotics company developing an autonomous hospital service robot designed to assist clinical staff with logistical tasks so they can spend more time on direct patient care. The robots use patent-pending interactive machine learning algorithms to manipulate objects in their environments and quickly adapt to novel conditions. The company is led by co-founders Dr. Andrea Thomaz (CEO) and Dr. Vivian Chu (CTO). Diligent Robotics raised $2.1M in seed funding and previously received $725k in Small Business Innovation Research grants from the National Science Foundation. In early 2018 the company planned to launch a pilot program focused on U.S. hospital care. The product and near-term plans center on deploying autonomous logistics capabilities in clinical settings.

No current team members are available.