IC memos, deal notes, reporting: your teams compile instead of analyzing.
The fund's most expensive time goes into formatting, not into the investment thesis.
Deal flow, memos, due diligence, LP reporting: your teams spend less time compiling, more time analyzing and investing.
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The problem
IC memos, deal notes, reporting: your teams compile instead of analyzing.
The fund's most expensive time goes into formatting, not into the investment thesis.
You launch, prove, then give up for lack of a method to scale.
Dozens of hours invested in pilots that never reach the team's daily work.
Shadow AI: without a framework or integration, everyone tinkers on their own.
Some save time, but the fund sees neither ROI nor a collective advantage.
of custom enterprise GenAI tools fail to reach production (MIT NANDA, 2025).
of executives rank AI in their top 3 strategic priorities (BCG, 2025).
Our offer
Your internal operations, your portfolio companies, or both, depending on your priority.
Implement, train and support investment and leadership teams. Rolling out ChatGPT, Claude, Dust, M365, wired into your processes.
✦Frame the fund's AI trajectory and make the value tangible for your teams, week after week.
Understand the business stakes of each industry. Executive audit (stakes, use cases, opportunities), then deployment within your portfolio companies.
✦A shared AI vision at the highest level and ROI maximized across the whole portfolio.
Use cases
From the first touch with a deal to LP reporting, every step of the fund becomes faster, more reliable, more defensible. On the M&A advisory side, we break down what AI changes in running a mandate.
Qualifying and prioritizing inbound opportunities, comparison with your historical deals.
Accelerated investment memo drafting, data room synthesis, red flags.
Our internal tools map in days what traditional firms take weeks to audit.
A whole portfolio is audited in parallel, with a shared framework to benchmark your companies.
Our stack maps your processes and surfaces use cases. Your teams prioritize the highest-ROI levers with us.
Fast POCs tested on your real deals, your processes and your teams' expertise. We co-build, never in a silo.
Playbooks, training and evaluation tools: your teams stay in control. Continuous monitoring improves the deployment month after month.
30 minutes to identify your highest-impact use cases. No commitment.
Book a callReferences
Copilot and Perplexity Enterprise for 100+ staff, with agents per function all the way to IC memos.
Read the case study6 AI agents on Dust cover deal analysis, from tech to exit, all the way to IC memos.
Read the case studyAI agents on commercial data: enrichment, qualification and team productivity.
Read the case studyWhite paper
A complete guide, reserved for private capital professionals. Leave your email and we'll send it over.
An NDA before any exchange. Your data is never used to train models: per-deal isolated environments, enterprise-grade solutions (ChatGPT Enterprise, Claude, Dust, M365) and EU hosting available.
Yes. Our deployments respect the compliance framework applicable to financial players, including DORA: ICT third-party risk management, traceability, operational resilience and processing security. We frame these requirements with your compliance teams from the audit onwards.
Both, with no imposed order: depending on your priority, we start with your internal operations (deal flow, memos, LP reporting), with your portfolio companies (executive audit then deployment), or both in parallel. We cover both options in AI and private equity: the fund or the portfolio companies.
We plug into what exists: Microsoft or Google suite, data rooms, deal flow CRM, Excel, reporting tools. No rip-and-replace: agents slot into your current processes.
Case by case, before deployment. Every use case on the roadmap from our AI audit is costed: implementation cost, expected net gains, ROI and payback. You decide on numbers, not promises.
A dedicated squad with a mission lead, an AI builder (agent design and integration) and an AI trainer (adoption and team training). The mix adapts to the scope, with founders staying involved.