Private equity

The AI operating partner for private equity funds, from sourcing to exit

AI maturity has become a valuation driver. We equip your teams across the whole investment chain, then transform your portfolio companies, with measured results from the very first weeks.

See the use cases

What the market says

7%

Of funds have scaled AI across the enterprise in their portfolio companies

FTI Consulting, "2026 Private Equity AI Radar", May 2026, 200 fund and portfolio company executives
66%

Of private equity players see a tangible impact from AI in under 12 months

FTI Consulting, "The Value Creation Edge" (2026 Private Equity Value Creation Index), 2026, 555 executives
95%

Of funds say their AI initiatives meet or exceed the original business case

FTI Consulting, "2026 Private Equity AI Radar", May 2026, 200 fund and portfolio company executives
78%

Of asset management and private equity leaders would keep AI among their investment priorities, even in a recession

KPMG, "Quarterly AI Pulse Survey: Asset Management and Private Equity", Q4 2025, published February 2026, more than 100 US executives

Two levels, one standard of results

A fund wins on two fronts: the speed of its own team and the transformation of the companies it owns. We work on both, and the second benefits from the first.

In your team

Target identification from public registers, screening of inbound deals, a data room assistant covering every document, investment committee memos, consolidated portfolio reporting, quarterly letters and investor questionnaires. Your deal capacity grows with the same headcount.

Use cases for the fund

In your portfolio companies

A diagnostic costed in euros, a 100-day plan, bespoke business tools where spreadsheets still rule, redesigned digital journeys and a technical foundation reusable from one company to the next. The 63 use cases in our business catalogue complete this approach, function by function.

Value creation use cases

12 use cases for funds, from sourcing to exit

Each page details the problem addressed, the process put in place, the expected results and the implementation timeline.

Sourcing & Deal Flow

Spot targets at the right time and process inbound deal flow faster, with the same team.

3x more targets tracked with the same team

Due Diligence & Committee

Cover the entire data room, measure the target's AI maturity and prepare the committee faster.

-70% time on the first read of a data room

Portfolio Monitoring & LPs

Consolidate portfolio company reporting and deliver your investor documents on time.

-75% time on quarterly collection

Value Creation

Deploy AI in your portfolio companies: a quantified diagnostic, custom tools and a platform reusable across the portfolio.

First measured gain before day 100

A partner sized for mid-sized funds

The capability of the large firms

The leading players build in-house: a data science team at Ardian as early as 2019, the acquisition of a data and AI consultancy at Eurazeo. We bring that capability on demand, for the duration of your holding period.

Grounded in SMEs and mid-sized companies

Our engagements take place alongside operational teams, at Radio France, Edenred, CMA CGM, Prisma Media and Covivio. Your portfolio companies speak the language we use every day.

The portfolio effect

A use case built once can be redeployed across companies with similar processes. By the third portfolio company, the initial investment is covered, and each further deployment costs a fraction of the first.

Frequently asked questions from investment funds

That is where we are most at home. The large firms build in-house teams: Ardian set up a data science team as early as 2019, and Eurazeo acquired a data and AI consultancy. A team of ten to thirty people takes a different route: an external partner who brings execution capacity when it is needed, at fund level as well as in portfolio companies.

Both, and the link between them is where the value lies. At fund level, we equip sourcing, due diligence, portfolio monitoring and investor relations. In portfolio companies, we run the diagnostic, build the tools and roll out new ways of working. A use case proven in one company can then be redeployed to others for a fraction of the initial cost.

The earlier the better. An AI maturity due diligence carried out before closing quantifies the value creation potential, feeds into the negotiation and becomes the 100-day plan. Coming in during the holding period is still useful, with a shorter window to show a visible effect before exit.

Each workstream gets a metric linked to EBITDA and a baseline set before it starts. This discipline supports management during the holding period, then the exit process, when the buyer asks what has really changed.

Processing takes place in dedicated environments hosted in Europe, separated by deal and by company, with access logs. Your due diligence documents, your portfolio data and that of your portfolio companies are never used to train any model.

Fund-level workstreams are deployed in four to seven weeks, depending on scope. In a portfolio company, the 100-day plan targets a first measured gain before day 100. This focus on fast results shapes how we work: a visible workstream first, the foundations next.

Our engineers handle the build, the architecture and the security. Documentation, testing and skills transfer are part of the delivery, so that the company's teams can take over day-to-day changes. Our work then focuses on the structural workstreams.

The company keeps its tools in working order, which strengthens the sale process and the evidence of value creation. The fund, for its part, keeps the methods, the deployment templates and the technical foundation, reusable on the next deal.

A live deal, or a portfolio company to transform?

A confidential first call to frame the challenge, whether it's a due diligence to complete before committee or a value creation plan to launch.

Contact us