Objective and Scope:

The client, a large, global venture capital firm, wanted to optimize the shortlisting of start-ups that could be profitable investment opportunities. For this, it sought Benori’s support in:

• Tracking growth indicators of 450+ companies in the enterprise technology and consumer space 
• Highlighting outliers that could be explored for investment

Approach:

Benori built an automated analytics pipeline that aggregated data from multiple digital and financial sources, including Crunchbase (funding, valuation, investors, employee growth), LinkedIn (hiring velocity), SimilarWeb (web traffic), and news APIs (mentions and sentiment) into Azure SQL, orchestrated via Azure Data Factory. Feature engineering derived key growth signals, including year-on-year (YoY) changes in employees, funding, valuation, traffic, hiring velocity, and sentiment trends, which were combined into a composite growth potential score. Anomaly detection flagged outperforming peers, and insights were visualized through a dashboard, enabling rapid identification of high-growth companies and emerging investment opportunities backed by real-time data.

Impact:

The exercise enabled the client to: 

• Make faster, data-driven investment decisions by automating start-up monitoring 
• Highlight high-growth opportunities through a real-time analytics dashboard