Is your fund AI-native yet?
Unlock your fund data. Finally put it to work for you and your LPs.
Your fund data has been trapped in admin systems, spreadsheets, and PDFs. We extract it, clean it, structure it — then build AI agents that put it to work. Working data layer in weeks, not months.
AI doesn't work on dirty fund data.
Every industry is learning the same lesson: AI doesn't work when the data underneath isn't ready. Private funds have it worse than most. PCAPs assembled by hand. Capital accounts in three spreadsheets that don't agree. Partnership terms buried in PDFs nobody's read in five years. The nuances of fund structures make generic data tools useless and generic AI dangerous.
The data source problem.
Your fund data lives in aging workpapers, inconsistent general ledgers, and spreadsheets nobody's touched in years. The outputs look fine until someone asks a question the template didn't anticipate.
The dinosaur admin problem.
SS&C, Citco, Apex, Gen II — getting a clean continuous feed out of any of them is famously hard. Limited APIs, flat-file exports from 2009, formats that change without notice.
The "AI strategy" problem.
You hired a consultant to design an AI roadmap. Six months and a slide deck later, you still can't ask a question of your fund data and get a real answer. The roadmap assumed clean data you never had.
This pattern exists at every size of fund. The solution isn't more AI; it's the data layer underneath.
Four solutions. Pick your starting point.
Everything we do sits on an ILPA-native data layer for private fund operations — funds, investors, commitments, capital events, partnership terms, side letters, all connected. Designed to produce institutional-quality metrics and reporting out of the box. That's what makes the rest possible.
Clean & structure your data
Fund Data Foundation + Data Layer Subscription
We extract your fund data from your current systems (whether that's your admin's tables, flat-file exports, or raw spreadsheets) and structure it into a clean, queryable foundation you own. The Foundation is the one-time project; the Subscription keeps it fresh.
Learn moreBuild what you actually need
Fund-Native AI Agents
With your data clean and mapped into the model, we build the bespoke AI workflows you need. Document agents that read PDFs. Calculation agents that run waterfalls against your actual PPM terms. Reporting agents that draft LP letters from real fund events.
Learn moreStay ahead with a technical partner
Technical Partner — Ongoing Retainer
Your fund's dedicated AI and data expert on retainer. We keep your data layer current, evolve your tooling, and act as the technical partner you don't have in-house. No need to switch admins. No need to hire an engineer.
Learn moreLet us run it for you
Managed Fund Admin — Limited Capacity
For a small number of engagements per year, we run the full fund admin end to end. Quarterly close, NAV packs, LP letters, capital events, investor portal — all AI-augmented, all on the same data layer. Limited capacity.
Learn moreEach solution stands on its own. Start wherever makes sense for your fund — if data cleanup is needed, we handle it as part of the engagement.
Why this works when nothing else has.
Fund admin expertise + AI-native platform + one-person delivery + data-first sequencing = work that other vendors structurally cannot deliver.
- Big admins can't deliver this because their systems are static, their teams aren't technical.
- Software vendors can't deliver this because they don't have the fund admin domain expertise.
- AI consultants can't deliver this because they don't know what a PCAP, ASC 820, or waterfall actually is.
We can deliver all of it because fund admin expertise and AI engineering live under one roof.
Start with a 30-minute discovery call.
Tell us about your fund — we'll have a fixed-price proposal within 48 hours. If your data's a mess and you've been burned by AI consultants, that's exactly what we solve. Not sure where you sit? That's what the call is for.
Every quarter you wait is another quarter of dirty data compounding.