Nexteam

Private Equity Deal Evaluation With Flexible Talent

See how a middle-market private equity firm used flexible analytics talent to accelerate deal screening, diligence, and investment evaluation.

Private Equity Deal Evaluation With Flexible Talent

Client context: Denver-based private equity firm focused on middle-market growth companies in the $50M-$200M range.

The situation

Increasing deal flow put pressure on a largely manual evaluation process. The firm wanted to examine several opportunities at once while preserving analytical depth, but variable workload made a fixed expansion of the local team unattractive.

The work

Nexteam supported the firm with two investment professionals combining private equity experience and analytical tools. The initial project-based engagement developed into an ongoing partnership.

The scope included:

  • Preliminary screening, red-flag tracking and consistent evaluation frameworks.
  • Financial analysis, benchmarking, market research and KPI reporting.
  • Investment committee materials, scenario analysis and clearer presentation of key metrics.

Automation helped organise and prepare the analysis. Its output still required review in the context of the investment question.

The results

The team increased deal-evaluation capacity, reduced initial screening time and supported more detailed diligence across concurrent opportunities. The engagement also improved resource flexibility as deal flow changed and reduced per-deal evaluation costs.

The public case describes these outcomes qualitatively. It does not provide a quantified capacity baseline, cost comparison or investment-performance measure.

What this case illustrates

Delegation works best when an analyst owns a defined output and a senior investment professional owns its review and the resulting decision. Capacity to evaluate more opportunities does not itself establish better investment returns.

Explore remote private equity analysts →

Related reading: What to delegate to a PE analyst.

Client identity is confidential. This is an anonymised engagement summary; results are specific to the work described.

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