Private Equity & Value Creation

We help private equity firms turn portfolio company data into faster conviction, repeatable value-creation plays, and stronger exits.

OVERVIEW

The data exists inside every portfolio company. Unlocking it across the portfolio is the challenge.

In a private equity portfolio, every company already sits on operational data that could be used to drive growth and improve efficiency. The challenge is getting to that data, making sense of it consistently across companies, and turning it into solutions that create value at scale.


We help private equity firms and their portfolio companies do exactly that. From dedicated data lakehouses at each portfolio company to portfolio‑wide reporting, custom software, machine learning, and generative AI, we build a data foundation and solution set that make analytics a measurable lever for value creation, pre‑deal, during the hold period, and at exit.

WHAT WE HEAR FROM PRIVATE EQUITY LEADERS


No portfolio-wide visibility

0.1

Each portfolio company reports differently, making it labor‑intensive to assemble a consistent view of performance. Partners and operating teams spend cycles chasing numbers and reconciling KPIs instead of focusing on value‑creation levers and investment decisions.


Best practices stay siloed

0.2

Powerful analytics or AI solutions developed at one portfolio company rarely make it to the others. Each company solves similar problems from scratch, and the fund misses the chance to turn a single win into a repeatable play across the portfolio.


Tuck-in complexity

0.3

Acquisitions add new systems, data formats, and operating practices faster than the portfolio company can absorb them. During integration, leadership often flies blind on the combined business, creating risk around covenants, customer experience, and the original value‑creation thesis.


Limited internal analytics capacity

0.4

 Portfolio companies rarely have the in‑house data and analytics talent to build the solutions that would actually drive value creation. Even when the thesis is clear, management teams lack the capacity to execute, and value‑creation plans stall or stay on spreadsheets.

COMMON SOLUTIONS

What we typically build for PE firms and their portfolio companies.

  • Portfolio-Wide Reporting

    Each portfolio company runs different systems and reports differently, which makes consistent portfolio‑wide visibility painful to assemble. Investment and operating teams spend time stitching together spreadsheets before IC, board, and LP meetings instead of focusing on decisions.
    We build a centralized reporting layer that pulls KPIs from each portfolio company, normalizes them through agreed business logic, and presents them in a single, easy‑to‑read format. The firm keeps a finger on the pulse of the entire portfolio by fund, sector, or strategy, without chasing management teams for updated numbers.

    ✓Apples-to-apples comparison across portfolio companies

    ✓Revenue, EBITDA, and operational KPIs in one view

    ✓Drill-down from portfolio summary to individual company performance

    ✓Automated refresh from each portfolio company's source systems

  • Pre-Deal Analytics

    Pre‑deal analytics gives the deal team a deeper read on the target than the data room alone can provide. Working closely with your deal team and the target’s data, we use large‑scale data analysis, machine learning, and AI techniques to surface growth opportunities, efficiency levers, and risks that strengthen or challenge the investment thesis.
    The output is a set of concrete insights that can be factored into the bid, the offer letter, lender conversations, and the first hundred days plan, giving your firm a differentiated point of view versus other bidders.

    ✓White space and customer retention modeling

    ✓Profitability and cost-to-serve analysis at the transaction level

    ✓Operational efficiency analysis on supply chain, logistics, or production

    ✓Rapid turnaround built around deal timelines

  • 360-Degree Portfolio Company Analytics

    Each portfolio company needs its own data foundation and analytics layer to actually move the business and deliver the value‑creation plan. We build dedicated data lakehouses and a suite of 360‑degree dashboards that span the boardroom, middle management, and frontline teams.
    Each level works from scorecards tied back to management’s priorities and the investment thesis, so the whole organization is pulling in the same direction—and partners can see progress against the plan in near real time.

    ✓Dedicated lakehouse for each portfolio company

    ✓Boardroom dashboards tied to management's strategic priorities

    ✓Middle management and frontline scorecards

    ✓Near real-time refresh on the metrics that drive the business

  • Custom Software, ML & AI at Portfolio Companies

    Once a portfolio company has a clean data foundation in place, the range of solutions that becomes possible grows quickly. We build custom software, machine learning models, and generative AI applications tailored to the operational reality of each business—quote calculators for sales, route optimization for delivery, SKU‑level profitability analysis for management, and more. Each successful solution becomes a playbook that can be adapted and redeployed across the rest of the portfolio, reducing time‑to‑value and spreading operating leverage from one company to many.

    ✓Custom software tailored to the portfolio company's operations

    ✓Machine learning models for forecasting, scoring, and optimization

    ✓Generative AI applications integrated into team workflows

    ✓Reusable playbooks that can be deployed across the portfolio

Q&A

Things we hear from private equity leaders.

The questions every PE partner, operating partner, and deal lead asks us in their first meeting.

Curious what your portfolio's data could do for value creation?

Set up a 30-minute conversation with one of our partners to talk through your portfolio, where data sits across your companies today, and where it could be working harder for you.