PocketHealth has raised $33 million in Series B funding, which will go toward continuing to improve how medical images are shared, using AI to personalize the patient’s care journey, and growing the company's reach across the U.S. and Canada.
The all-equity round was led by Round13 Capital with participation from Deloitte Ventures, Samsung Next, and existing investors Questa Capital and Radical Ventures.
The company added that to support its goals, it plans to double its workforce over the next two years.
PocketHealth allows customers to instantly share images with anyone across any network, as well as set up a local network of PocketHealth Community Gateways for automated image exchange. The platform uses AI to provide patients with personalized insights and an improved understanding of their health.
The platform also includes the following features:
- Report Reader, which explains medical terms in the patient’s report
- Follow-Up Navigator, which detects follow-up imaging recommendations, encouraging patients to return for new imaging on schedule.
- MyCare Navigator, which equips patients with relevant, personalized questions to ask their doctor.
















![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&fit=crop&h=112&q=70&w=112)


