Private equity
Signals-driven deal sourcing, diligence, and value creation
Navigating risk and opportunity in private equity:
The biggest challenges
Sourcing friction
Difficulty rapidly identifying high-growth companies with validated momentum in underserved regional markets.
Due diligence lag
High reliance on costly, slow, external primary research and historical financials that may not reflect current operational reality.
Portfolio value erosion
Lack of continuous, objective, & standardized data to monitor portfolio companies’ health & value drivers post-acquisition.
Exit planning uncertainty
Inability to accurately time exits or prove a sustained growth trajectory to potential buyers using non-lagging data.
Regional market volatility
High risk exposure in volatile markets due to poor visibility into macro-economic shocks and competitive activity.
End-to-end private equity solutions:
Addressing key challenges with signals
Identify high-momentum targets
Use the Company Trajectory Engine to filter and screen thousands of companies by real-time Expansion Scores and Sector Momentum. Sourcing becomes data-driven, focusing only on firms with validated motion.
Validate operational health instantly
Integrate the Risk Radar and Company Trajectory scores into your initial screen. Assess workforce commitment, procurement success, and leadership stability as leading indicators of financial health, significantly reducing diligence lead time.
Real-time portfolio health check
Utilize the Portfolio Workspace to monitor all assets continuously. Receive instant alerts when a company crosses a risk threshold (e.g., loss of key tenders, leadership changes) or if its Sector Momentum begins to decline.
Prove sector alignment
Benchmark potential targets and current holdings against the Sector Momentum Engine. Ensure your capital is allocated to sectors showing signals-based acceleration.
API-driven valuation
Access clean, time-series data from the Time-Series Studio via API. Integrate leading economic signals directly into your valuation and cash-flow models to create more robust, defensible projections.
