01
Week one
Blueprint
We map your data sources, workflows, and use cases, then design the environment. You leave with an architecture you own — before any commitment to build.
We turn the fragmented data of a fund and its assets into
one coherent source of truth.
Deployed in your infrastructure, owned by you, operated by us.
Reference
What we appreciate about Tulip is that the team does not just build software from the outside. They work closely with us, understand how fund operations actually run, and translate that into a product that gives us a clearer overview of our structures and data.
Oliver Frank
Fund CFO, GREENPEAK Partners
Who we build for · What we build
The same coherent data layer — opened up around what your side of the market actually needs to run.
What we build
One coherent layer across fund and portfolio data — reporting, capital activity, and legal structure work running from the same source of truth.
Quarterly & LP reporting
Built once against your source of truth, produced on demand.
Capital calls & distributions
Reconciled across funds and vehicles to the underlying movements.
Portfolio KPI tracking
Company metrics over time, tuned for LP reporting — not generic BI.
Debt & covenants
Facilities, headroom, and covenants surfaced before they break.
ESG data validation
EDCI, SFDR / PAI and lender questionnaires checked for errors.
Structure charts & legal
Entity structures and clause-level work with sources attached.
What we build
Look-through across commitments, co-invests, and directs — cash, exposure, and performance in one place you actually trust.
Consolidated cash flow
One view across funds, co-invests, and directs.
Forecasting & pacing
Model calls and distributions forward for liquidity planning.
Look-through exposure
Sector, geography, and concentration down to the assets.
Statement ingestion
GP reports parsed into structured, queryable data.
Your models, operated
The models your team already builds — run on sovereign infra.
NAV & performance
Positions and returns reconciled across every strategy.
What we build
Admin and GP on the same data layer — less Excel tennis, faster onboarding, client-facing self-service on your infrastructure.
Shared data layer
Admin and GP finally working from the same numbers.
Client self-service
A branded room where fund clients pull their own figures.
Automated reporting
Recurring client packs from live data, not manual servicing.
Multi-system integration
Bring platforms — including post-merger — onto one layer.
AI on your book
Chat with, and run workflows on, the data you already hold.
Faster fund onboarding
Stand up a new client's data in a fraction of the setup time.
The partnership
Tulip is a joint venture with AURALIS — so the same team that designs your environment can also deploy and run it at scale.
Tulip InsightsWe bring the private-markets and fund back-office expertise, built from inside a real PE fund.

A 100+ engineer software group with a track record of shipping for leading companies.
How we work
We come in as an extension of your team, not a vendor throwing software over the wall — and we stay to keep it running.
01
Week one
We map your data sources, workflows, and use cases, then design the environment. You leave with an architecture you own — before any commitment to build.
02
Deployment
We deploy inside your infrastructure: data integration, your priority modules, and your first AI workflows — tuned to your full set of cases.
03
Ongoing
We operate the living platform — pipelines, models, and support — so your source of truth stays current, correct, and dependable.
The approach
Asset managers don't want their portfolio data sitting in a vendor's cloud, and off-the-shelf tools only ever cover the generic cases. We took the opposite position.
Your data stays in your environment. Nothing is shipped to a third-party model or a vendor's cloud. You hold the keys — and full control over what runs where.
We embed with your team and build for how you actually work — the full picture, not the generic 70% an off-the-shelf product can reach.
You get the sovereignty of an in-house stack without hiring a data and AI team. We deploy it, operate it, and keep it running.
Start here
Bring the workflows you run today. We'll show you where a sovereign data and AI environment replaces the manual work — and what we'd deploy first.
Book a working session