Fund due diligence, connected from both sides

One data room. One evidence trail. Faster due diligence.

Fundaro connects asset managers and professional investors through an AI-assisted fund data room and a structured due diligence system that turns documents and answers into decision-ready evidence.

Local AI processing
Controlled document access
Human-reviewed results

160 pre-built questions across 21 fund types

Due diligence workspace Liquidity & redemptions

DDQ · 04.12

01
Source document Liquidity Management Policy.pdf Version 3 · pages 8–11
PDF
02
AI-assisted draft
Redemption terms and liquidity controls are documented across three cited passages.
03
Evidence linked
“Weekly dealing … subject to the liquidity management framework.”
Policy §4.2 · page 9
Verified
04
Human review Ready for investment team assessment
IM

One platform, two precise workflows

Work from the same evidence—without working the same way.

Choose your role to see how Fundaro turns fragmented document exchange into a reviewable record.

For professional investors

Fund due diligence, prepared before you start reviewing.

Pre-built, fund-type-specific questions
Answers linked directly to supporting evidence
AI-assisted checks for gaps, inconsistencies, and contradictions
Finding categories and structured follow-up requests
Decision records in PDF, Markdown, and CSV
Your first three evaluations are on us; after beta, further due diligence is paid per evaluation

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04.12

How is liquidity monitored under stressed conditions?

The policy defines escalation thresholds and a monthly stress-testing cadence.

2 supporting passages Policy §4.2, §6.1

Review finding Follow-up recommended

Open

For asset managers

A sophisticated data room for every fund you manage.

Manage unlimited funds in one fund-centred, searchable document library
One investor relationship is included with each fund
After beta, each additional investor relationship for that fund is paid separately
Current document versions with accessible history
Document conversations kept beside the source
AI-assisted answer drafts that fund managers verify

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ANSWER DRAFT

Please describe valuation oversight and exception handling.

A draft is prepared from the Valuation Policy and Oversight Committee Terms.

3 cited passages Valuation Policy §3.1

Fund manager action Verify final answer

Draft

Evidence, not another answer layer

Every conclusion keeps its path back to source.

Fundaro organises the question, the answer, the source passage, and the reviewer’s finding as one connected record.

160 pre-built questions across
21 fund types Current product catalogue

QUESTION 07.03Operational resilience

In review

Question

Which controls support service continuity when a critical provider is unavailable?

Cited answer

The continuity plan defines recovery ownership, escalation paths, and annual testing for critical outsourced services.

Business Continuity Plan · §5.3 · page 14

Reviewer note

Testing evidence is referenced, but the most recent exercise record is not attached.

Follow-up recommended

A controlled chain of work

From collected documents to a documented decision.

01 Collect
Organise current fund documents and version history.
02 Draft
Prepare answers from the fund’s own source material.
03 Verify
Fund managers confirm every final response.
04 Check
Surface gaps, inconsistencies, and contradictions.
05 Review
Investment teams assess evidence and follow-ups.
06 Document
Export a clear, decision-ready review record.

AI prepares and checks. Fund managers verify. Investment managers assess the evidence. Humans decide.

Security & Local AI

Local processing. Deliberate access. Human control.

Data and AI processing takes place exclusively on dedicated infrastructure in a secured Hamburg data centre. No data is processed outside Hamburg or transferred to external AI services. External AI models and AI APIs are not used. Access stays scoped to each investor relationship, while people retain authority over every answer and assessment.

Dedicated infrastructure: AI workloads run within the intended Fundaro service environment.
Hamburg only: Data never leaves the Hamburg location for processing. Fundaro does not use external AI models or AI APIs.
Relationship-scoped sharing: Fund managers control which documents each investor relationship can access.
Human verification: AI-assisted output remains a draft until a fund manager verifies it.

Straight answers

Questions before you open the data room.

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How does Fundaro pricing work?

Everything in Fundaro is currently free for all users while the product remains in beta. The beta does not yet have an end date. Under the intended post-beta model, asset managers can manage unlimited funds; each fund includes one investor relationship, and the asset manager pays for each additional investor relationship for that fund. Investment managers and investors receive their first three evaluations on us, then pay per additional evaluation.

What does AI do for fund managers?

It prepares answer drafts from the fund’s own documents and keeps source passages attached. A fund manager reviews and verifies every final answer.

Does AI make the investment decision?

No. AI can prepare, structure, and check information. Investment managers assess the evidence and people make the decision.

Are questions included?

Yes. The current product catalogue contains 160 pre-built questions across 21 fund types, ready to adapt to your review scope.

Can several investors work with the same fund?

Yes. A fund can support several investor relationships while controlling document access and conversations separately for each one.

Review faster. Decide with evidence.

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