Qventus, which affords a synthetic intelligence platform for managing operations and affected person move, introduced Monday it had raised $50 million in development funding.
The spherical was led by personal fairness agency Thomas H. Lee Companions and strategic investor Premier. Different members embrace Thedacare, Bessemer Enterprise Companions, Mayfield Fund and Norwest Enterprise Companions.
The funding and partnership with Premier will assist the corporate to broaden its AI platform for extra well being methods throughout the U.S. In accordance with Crunchbase, the startup has now scooped up greater than $95 million. It final raised $30 million in Sequence B funding in 2018.
“Our care operations automation software program relieves among the largest operational and monetary pressures dealing with hospitals and well being methods right now,” cofounder and CEO Mudit Garg stated in an announcement.
“We’re excited to companion with world-class traders who carry area and operational experience in scaling automation expertise companies. Our partnership with THL and Premier will allow us to broaden our product imaginative and prescient, improve our market presence, and assist care groups ship world-class healthcare to sufferers throughout the nation.”
Kintsugi, a startup that goals to determine indicators of melancholy and nervousness utilizing vocal biomarkers, scored $20 million in Sequence A funding. The newest spherical comes about six months after the corporate introduced it had raised $8 million in seed funding.
The Sequence A was led by Perception Companions, with participation from Acrew Capital, Darling Ventures, Citta Capital, Aspect Door Ventures, Primetime Companions, IT Farm, AngelList Fund and Alpha Edison.
“Kintsugi offers a way of empowerment from sufferers to suppliers to payers and everybody in between who has a stake in affected person outcomes,” Kintsugi cofounder and CEO Grace Chang stated in an announcement. “At Kintsugi, we’re in search of goal, quantifiable and correct measurements to lift the parity of psychological well being to that of bodily well being. This newest spherical of funding is a vote of confidence in our imaginative and prescient for psychological healthcare, and we’re wanting ahead to seeing it come to life with the assistance of our traders.”
Digital actuality startup XRHealth introduced Monday it had raised $10 million in funding from HTC, Bridges Israel, AARP, crowdfunding on StartEngine.com and current traders.
The corporate scored $9 million in June and $7 million in April 2020. In July final 12 months, XRHealth introduced a brand new VR program geared toward persistent ache administration. The startup additionally affords packages for autism spectrum dysfunction and nervousness.
“XRHealth is placing digital clinics into customers’ pockets at a vital time within the altering panorama of the medical supply and the expertise business,” CEO Eran Orr stated in an announcement. “We’re leveraging these modifications to create a brand new type of healthcare that’s accessible at any time of day, from any location within the digital atmosphere of the metaverse, the place remedy might be personalised and adjusted based mostly on real-time analytics.”
Scientific AI startup Gesund.ai has emerged from stealth with $2 million in a seed funding spherical led by 500 World.
The corporate affords a platform that may join AI corporations with curated datasets for his or her instruments. It additionally consists of an explainability layer so non-programmers can run algorithms utilizing new datasets.
“AI methods are solely nearly as good as the info used to coach them however healthcare knowledge is extraordinarily fragmented throughout totally different suppliers, insurance coverage corporations, pharmacy information, and even consumer-generated knowledge like health trackers,” Enes Hosgor, CEO and founding father of Gesund, stated in an announcement.
“We’re guaranteeing that AI is actually scientific grade and equitable by offering scalable and compliant entry to standardized, but numerous, knowledge by way of a low-code MLOps platform.”