AI that compounds value across the deal and the hold
PE firms win on speed of conviction and the value they create after close. We build AI that sharpens diligence, stands up a value-creation engine across the portfolio, and automates the research and reporting that slow deal and operating teams — all tied to MOIC, margin, and time-to-value.
Why AI mattersin Private Equity.
In private equity, returns are made twice: in the diligence that builds conviction, and in the operating work that creates value after close. AI matters when it compresses both — and ties directly to the value-creation plan, not noise.
Our point of view is ROI-based by design: every initiative maps to margin, multiple, or speed. We quantify before we build, amplify your deal and operating partners rather than replace them, and bring the governance and controls your LPs and lenders expect.
- 01Conviction is speedRead the data room in days, not weeks.
- 02Value is created post-closeAI operating leverage across every holding.
- 03Lean winsAutomate the research and reporting that drain teams.
- 04MOIC is the only metricEvery initiative maps to margin or multiple.
How we workin Private Equity.
One method, tuned to your context: we design the whole system — people and AI — rank every move by ROI across four lenses, and build in iterative cycles that compound value.
Design the whole system
We map the value-creation plan across deal and hold — designing where AI sharpens conviction and operating leverage, and where partners stay in the decision — with adoption across deal and operating teams.
Quantify the value
We score every initiative across four lenses tied to returns — margin, multiple, speed, and risk — so the work maps to MOIC, not noise.
Tailor to your context
We build around your data room, portfolio systems, and reporting — tuned to your thesis and the governance your LPs and lenders expect.
Iterate and compound
We stand up a first capability fast, measure against the 100-day plan, and iterate across the portfolio — compounding value through the hold.
The AI opportunityin Private Equity.
portfolio visibility on one intelligence layer
holdings monitored in real time
target ROI within 90 days
Photo: AWSM LABS
Purpose-built applicationsfor Private Equity.
AI Due Diligence Engine
Evaluate a target's AI maturity, data infrastructure, and automation potential in days — giving your deal team a quantified view of value creation before close.
SPRK runs the AI readiness diagnostic across deal targets.
Portfolio-Wide Intelligence
One platform tracking operating performance and AI initiatives across every holding — margin, efficiency, and revenue impact in real time.
KNTRL provides the cross-portfolio intelligence and benchmarking layer.
Proprietary Deal Sourcing
An AI agent monitors market signals, filings, and operator activity to surface platforms and add-ons before they hit the market — scored by your thesis.
CRFT builds the custom deal intelligence product tailored to your thesis.
LP Investor Intelligence Engine
Know which LPs are ready to allocate before anyone else does — scattered investor signals unified into one prioritized view of who to engage, why now, and how to tailor the pitch.
CRFT builds the custom LP intelligence engine over public filings and your internal data.
Sourcing Feels Faster. Is It Actually Working?
Your team says AI is helping. Sourcing feels faster. The analysts are more efficient. But when your LP asks what it's actually producing, you don't have a number you trust. That gap — between AI activity and AI value — is where most PE firms are stuck right now. Operational ROI is the first place to close it: not by chasing more AI activity, but by mapping the workflow, setting a real baseline, and proving that time saved actually became value created.
Pablo Cruz Pou · August 17, 2026 · 17 min read
The Accountability Gap: What Private Equity Gets Wrong About Measuring AI
A four-lens framework for capturing the full spectrum of AI value — and risk — across every dimension that matters to PE sponsors, operators, and boards.
Pablo Cruz Pou & Fritz Desir · May 30, 2026 · 17 min readPrivate Equity,answered.
A SPRK diligence sprint quantifies a target's data readiness, AI maturity, and automation upside in days — giving your deal team a defensible value-creation thesis before close.