Healthcare marketplace developer Vamstar raised $1.7 million in seed funding to further develop its artificial intelligence (AI) technology for healthcare equipment procurement, which has been disrupted during the pandemic.
The firm plans to introduce data-driven decision-making to the global healthcare supply chain in the form of an artificial intelligence-driven B2B marketplace that eliminates manual processes in sourcing and procurement. Vamstar will use data science to connect buyers with suppliers in the supply chain, enabling real-time profiling of suppliers and buyers and matching recommendations across contracts, tenders, and direct purchases.
Vamstar will use the funding to focus on building use cases to demonstrate the effectiveness of its technology. Vamstar plans to grow globally from the U.K., Germany, India, and the U.S. by the end of 2021, according to the company.
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
