VITA Accelerator
VC Fund
Salerno, Italy
VITA Accelerator is a VC fund in Salerno focused on Health Care and Medical. VITA Accelerator is the Digital Health Accelerator of CDP National Accelerators Network, born from the initiative of CDP Venture Capital SGR together with Healthware Group and Accelerace. We are glad to announce the launch of a novel Program, aimed to support startups based in Italy or interested in expanding to Italy. We also pursue theobjective of strengthening and nurturing the Italian digital health ecosystem, as well as promoting it internationally. On the way to this objective, we are proud to have the support of the Innovation Partner Zcube and Corporate Partners, SIFI and Petrone Group, Technical Partner Orrick as well as a bright cohort of Ecosystem Partners: hospitals, patient associations, digital health hubs.
- Total investments:
- 7
- Last investment:
- Lead investor:
- 71%
Last updated:
For AI agents: llms.txt
Industries VITA Accelerator invests in
Stages VITA Accelerator invests in
Countries VITA Accelerator invests in
Contacts
| Name | Phone | Socials | |
|---|---|---|---|
Paolo Borella
|
|||
Stefano Molino
|
|||
Investment Focus
Industry
- Health Care 4 (57%)
- Medical 2 (29%)
- Beauty 1 (14%)
- EdTech 1 (14%)
- Wellness 1 (14%)
Stage
- Pre-Seed 5 (71%)
- Convertible Note 1 (14%)
Country
- Italy 5 (71%)
- Denmark 1 (14%)
Team
| Name | Title | Investments | Links | |
|---|---|---|---|---|
|
Paolo Borella
Managing Partner
|
Managing Partner | Total investments: 5 | Find email | |
|
Stefano Molino
CEO
|
CEO | Total investments: 35 | Find email |
Investments
| Company | Description | Round | Links |
|---|---|---|---|
MederiAI
|
MederiAI uses AI to detect GI anomalies in endoscopy pill footage, cutting review time for doctors and clinics. | Convertible Note / Mar 19, 2025 | |
Paperbox Health
|
DINO: The Future of Early Learning Disorder DetectionIn today’s educational landscape, learning disorders often go undiagnosed until they become significant barriers to academic success. This late detection leads to higher intervention costs, greater emotional distress for children, and increased strain on teachers and families.DINO isrevolutionizing the way we approach early learning disorder identification by leveraging AI, gamification, and data-driven insights to create a scalable, efficient, and engaging solution for schools.Our mission is simple: ensure that every child, regardless of background or geography, has access to early and accurate learning disorder detection. By intervening at the right time, we empower schools, educators, and families to provide the best possible support for students who need it most.A Disruptive Approach to Educational Assessment Traditional methods of identifying learning difficulties are often time-consuming, resource-intensive, and dependent on expert evaluations that may not be readily available. DINO changes this paradigm by offering:AI-powered early detection – Our intelligent algorithms analyze gameplay data to identify potential learning challenges in real time. Gamified assessment – Students engage in fun, interactive activities that collect meaningful cognitive and linguistic data without creating stress or pressure. Minimal teacher intervention – The tool is designed for independent use, allowing educators to focus on classroom instruction while gathering valuable insights. Scalability and cost-efficiency – Unlike traditional assessment methods, DINO can be deployed in multiple schools with minimal logistical constraints.Proven Business Model & Strong Market Validation DINO’s business model has been successfully implemented in Italy, demonstrating strong financial sustainability and market demand. Our approach is based on:A subscription-based pricing model: Schools pay a setup fee (€200 per institution) and an annual fee per student (€10 per child), ensuring affordability while maintaining profitability. High margins and low operational costs: Delivery costs are minimal (€1 per report, totaling €2 per child annually), allowing for flexible pricing adaptation, with an average deal size of €1,350 per school. | $349.8K / Pre-Seed / Dec 18, 2024 | |
Linari Medical
|
Linari Medical specializes in the biomedical sector and in the production of medical devices for telerehabilitation. Linari Medical technologies for neurovisive remote rehabilitation of emianoptic patients. | $118.9K / Pre-Seed / Feb 03, 2023 | |
HuCare
|
HuCare improves therapy adherence by bridging the gap between the patient and the health system. They offer a COVID-19 patient tracking platform to keep general practitioners safe and the spread of the disease under control. | $118.9K / Pre-Seed / Feb 03, 2023 | |
InGeno
|
InGeno provides customized genetically based solutions for skin, hair and nutrition. | $118.9K / Pre-Seed / Feb 03, 2023 | |
Evotion
|
Evotion is a health monitoring smart wearable company. | $118.9K / Pre-Seed / Feb 03, 2023 | |
|
Paperbox Health
|
DINO: The Future of Early Learning Disorder DetectionIn today’s educational landscape, learning disorders often go undiagnosed until they become significant barriers to academic success. This late detection leads to higher intervention costs, greater emotional distress for children, and increased strain on teachers and families.DINO isrevolutionizing the way we approach early learning disorder identification by leveraging AI, gamification, and data-driven insights to create a scalable, efficient, and engaging solution for schools.Our mission is simple: ensure that every child, regardless of background or geography, has access to early and accurate learning disorder detection. By intervening at the right time, we empower schools, educators, and families to provide the best possible support for students who need it most.A Disruptive Approach to Educational Assessment Traditional methods of identifying learning difficulties are often time-consuming, resource-intensive, and dependent on expert evaluations that may not be readily available. DINO changes this paradigm by offering:AI-powered early detection – Our intelligent algorithms analyze gameplay data to identify potential learning challenges in real time. Gamified assessment – Students engage in fun, interactive activities that collect meaningful cognitive and linguistic data without creating stress or pressure. Minimal teacher intervention – The tool is designed for independent use, allowing educators to focus on classroom instruction while gathering valuable insights. Scalability and cost-efficiency – Unlike traditional assessment methods, DINO can be deployed in multiple schools with minimal logistical constraints.Proven Business Model & Strong Market Validation DINO’s business model has been successfully implemented in Italy, demonstrating strong financial sustainability and market demand. Our approach is based on:A subscription-based pricing model: Schools pay a setup fee (€200 per institution) and an annual fee per student (€10 per child), ensuring affordability while maintaining profitability. High margins and low operational costs: Delivery costs are minimal (€1 per report, totaling €2 per child annually), allowing for flexible pricing adaptation, with an average deal size of €1,350 per school. | $135.4K / Pre-Seed / Oct 31, 2022 |
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FAQ
What does VITA Accelerator invest in?
VITA Accelerator invests primarily in Health Care, Medical and Beauty startups, most often at Pre-Seed and Convertible Note stage. Most of the 7 investments tracked by Shizune back companies in Italy. The Investment Focus section breaks down every industry, stage and country in the portfolio.
How do I contact VITA Accelerator?
Public channels for VITA Accelerator include LinkedIn and the website linked on this profile. For a verified work email and phone number, create a free Shizune account — contact data is searched across 20+ sources and validated before delivery, so your outreach lands in the right inbox.
Who are the partners at VITA Accelerator?
The team at VITA Accelerator includes Paolo Borella (Managing Partner) and Stefano Molino (CEO). The Team section lists each member with their title, investment count and links.
Is Shizune's investor data accurate?
Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Aug 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.
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