Private equity
Diligence and value-creation analytics for funds with tariff, AI capex, or grid exposure in the portfolio.
Framing
The mid-market PE landscape in 2026 is being repriced by three concurrent forces. Tariff regimes are no longer a tail-risk overlay; for a manufacturing add-on with 30 percent of COGS in HS6 lines exposed to Section 301, pass-through math is the deal model. AI capex is reshaping the unit economics of portfolio companies that were not modeled as compute consumers a year ago. Grid interconnection timelines, PPA pricing, and behind-the-meter options now show up in industrial diligence memos that would have ignored them in 2023.
Generalist consulting partners cover these topics with secondary research and narrative slides. The work this consultancy does for PE clients is the math that sits underneath those slides: BACI-driven HS6 exposure mapping, ISO interconnect queue parsing, hyperscaler unit-economics models, and named scenario simulations that survive an LP committee. The product is a defensible number, traced to a primary source, that the deal team can walk into IC with.
Engagement scope ranges from a 10-day diligence sprint on a single target to a rolling retainer that gives a fund a quantitative bench across the portfolio.
Decisions we inform
- Pricing tariff pass-through risk in a manufacturing add-on acquisition.
- Sizing AI capex exposure in a portfolio company that buys cloud GPU hours.
- Mapping interconnection queue position to data center asset valuation.
- Forecasting demand shifts in a portfolio's HS6 import basket under named tariff scenarios.
- Stress testing a fund's macro tail exposure across portfolio cash flow models.
- Building a value-creation lever on energy procurement for an industrial portfolio company.
Named offerings
Tariff Exposure Diagnostic
Eight to twelve week BACI-driven study of pass-through risk across a portfolio's HS6 import lines, with scenario simulation and counterfactual comparisons.
AI Capex ROI Diligence
Four to six week unit-economics analysis of a target's compute spend, training and inference workload mix, and procurement posture against the GB200 to Rubin curve.
Industrial Energy Lever
Five to eight week assessment of a portfolio company's energy buy: PPA pricing, behind-the-meter options, demand response value, and CHIPS or DOE incentive stacking.
Macro Tail Memo
Quarterly two-page macro stress synopsis tied to portfolio cash flow models. Argus-derived risk indicators applied to fund-specific exposures.
Quantitative Diligence Bench
Rolling retainer giving the fund team named-day turnaround on bespoke quantitative questions across active deals and portfolio companies.
Sample questions
- We are looking at a metal-stampings add-on with 40 percent of revenue tied to imports from China and Taiwan. What does the tariff pass-through math look like under a 25 percent Section 301 expansion?
- Our textile portfolio company is selling into US retailers. How exposed is the customer base to apparel tariff hikes, and what does the elasticity say about price take?
- We have signed an LOI on a contract manufacturer in Penang. Where does the trade data say their volume actually goes, and how does that change under decoupling?
- An infrastructure target has 800MW of contracted data center capacity but a 2029 interconnection date. What is that worth versus a 2027 alternative?
- Our industrial holdings collectively spend $40M on grid power. Where is the value lever on procurement, demand response, and behind-the-meter generation?
Related coverage.
Hyperscalers and AI labs
Compute economics, capex ROI, and grid feasibility analytics for the operators running the AI build cycle.
UtilitiesUtilities, ISOs, and grid operators
Load-growth forecasting, interconnect queue analytics, and PPA economics for the operators absorbing the AI build cycle.
ManufacturingManufacturing
Tariff exposure, supply-chain restructuring, and scenario analytics for industrial operators with HS-line sensitivity.
SemisSemiconductors
Trade-flow, capex ROI, and policy analytics for fabs, fabless designers, OSAT, equipment, and materials.
Banks and asset managersBanks and asset managers
Macro-financial risk, trade-flow analytics, and structural research for global banks, macro funds, and allocators.
Multilateral and governmentMultilateral and government
Policy impact analytics and digital-twin modeling for World Bank, IMF, ADB, IFC, central banks, and finance ministries.
Trade associationsTrade associations
Industry-wide quantitative briefs and member-facing analytics for the trade groups shaping policy.
Think tanksThink tanks and policy shops
Quantitative bench, replicable methodology, and platform tooling for the policy research community.