How is data collected and stored?

ScaleUp collects data using our proprietary people search engine and our partnerships with third-party integrations. We index, triangulate and verify all collected people data and time-ordered company data through multiple sources.

Data sources include market data, company data, financial and funding data, candidate profiles, education info, patents, publications, Census data and other sources (over 100,000). We can enrich our data if our customers choose to integrate their internal HR tools with our platform. These sources help ScaleUp continually learn and create attributes for every person.

We do not store this raw data.

The top 5 categories of data collection sources are:

1. Profile data set: A consolidation of fragmented people data into a massive data lake. This could include public resumes (LinkedIn profiles), public code profiles (GitHub/Stack Overflow), patents, publications etc.
2. Company product categories (time indexed): Indices of companies by product and product categories
3. Company financial data set (time indexed): Public filings, public financials, funding rounds including investor profiles for private companies
4. Skills data set: Consolidation of all publicly indexed and derived skills from multiple data sets
5. Other contributions and social profiles

Attributes are derived from the comprehensively indexed people data and attributes are used for indexing people as well as capturing hiring intent. Ultimately, attributes are the avenues to capture the overall results (think about attributes as a complex database query spanning across multiple dataset. This allows one to express pretty much anything that one can say in plain English).

ScaleUp stores attributes securely in a ScaleUp-managed private cloud.