Venture Capital

Risk Mitigation

Employing strategic portfolio management to balance risk, thereby ensuring a diversified range of investment opportunities for LPs.

Capital & Returns

Providing essential growth capital for startups and potential high financial returns for LPs.

Strategy

Delivering expert business and industry insights to guide startups, thereby enhancing the value of investments for LPs.

Access

Offering startups access to critical industry connections and market opportunities, while enabling LPs to invest in emerging and innovative sectors.

Government Spending

$140B+ spent on oral care delivery in 2020 & unsustainable rising.

https://www.cms.gov/les/document/highlights.pdf

Solo Dentists

-1.21% CAGR drop in solo dentist practices ‘99-17

https://www.planetdds.com/blog/how-the-dso-model-will-impact-dentistry-in-2022-and-beyond

Corporate Dental

40% increase in dentists aliated with DSOs ‘17-22

https://www.planetdds.com/blog/how-the-dso-model-will-impact-dentistry-in-2022-and-beyond

Cost of Care

29% of Americans don’t have dental coverage.

https://www.cdc.gov/oralhealth/oral_health_disparities/index.htm

Access to Care

15% of Americans live in dentally underserved areas.

https://www.oralhealthgroup.com/features/serving-the-dentally-underserved

Staffing

39% owner dentists seek dental assistants.32% seek hygienists.

https://www.roadsidedentalmarketing.com/blog/dental-staffing-shortage

Data Collection

This is the first and critical step where data is gathered from various sources. It could be from internal databases, external sources, social media, sensors, or other IoT devices. Ensure that the data collected is relevant and of high quality.

Processing & Cleaning

Once the data is collected, it needs to be processed and cleaned. This involves removing errors, duplicates, and irrelevant information. Data may also need to be formatted, normalized, or transformed to make it suitable for analysis. AI algorithms can be used to automate this process, making it more efficient and accurate.

Storage & Organization

After processing, the data should be stored in a secure and organized manner. This could involve using cloud storage, databases, or data warehouses. The organization of data should be logical and easily accessible for future use. Proper data governance policies should be in place to ensure data security and compliance with any relevant laws and regulations.

Analysis & Insights

This is where AI plays a signicant role. AI algorithms and machine learning models can analyze the data to extract meaningful insights, identify patterns, and make predictions. This step is crucial for businesses to make informed decisions based on the data.

Reporting & Visualization

The final step involves presenting the analyzed data in an understandable and visually appealing way. This could be through dashboards, reports, graphs, or charts. Effective data visualization helps in communicating the findings to stakeholders who might not be technically adept.