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Portfolio monitoring
Portfolio monitoring: a buyer's guide
What we list in this category, how the field splits between long-established
products and newer ones, and the questions worth pressing on before you commit.
Every entry below was recorded from a page we opened, and each carries the source we
read. Where we could not establish something it is left blank rather than guessed. Read
how this site works if you want the detail.
Long-established products
Recorded as established: in production for many years, usually with a deep reference base and broad coverage. Those are real advantages, and so is the fact that a fifteen-year horizon is easier to argue for a supplier that has already lasted one.
- Aladdin — Enterprise risk, portfolio management and trading platform used across asset managers, pensions and insurers. source
- Aladdin Risk — Whole-portfolio risk management inside the Aladdin platform, spanning public and private holdings. source
- Allvue Fund Accounting (waterfall module) — Private capital fund accounting on Microsoft Dynamics 365 Business Central with an optional waterfall module for carry calculations and automated capital call processing. source
- Allvue Investor Portal — White-labelled portal that distributes capital statements, capital call notices and K-1s straight from Allvue fund accounting. source
- Alpha Theory — Turns analyst research inputs and price targets into disciplined position sizing and process analytics for fundamental managers. source
- Alter Domus Fund Administration — Fund administration for closed-end private equity, private credit, real estate and infrastructure, paired with its own fund accounting and investor management technology. source
- AlternativeSoft — Fund selection and portfolio risk analytics for allocators, with style and factor analysis over a 500,000-plus fund universe. source
- Backstop Research Management — Multi-asset research and due diligence platform for allocators, fund managers and OCIOs, now sold as part of ION Analytics. source
Newer products
Recorded as modern or emerging. Newer suppliers often offer capability and pricing the incumbents do not, and they carry risks the incumbents do not: fewer references at your size, less operating history, and concentration if they are small. Both belong in the same comparison, on the same fields.
- 73 Monitor — AI-assisted monitoring of illiquid holdings, sold with 73 Value for valuations and 73 Extract for pulling data out of unstructured documents. source
- 73 Value — Automates equity and credit valuations for private capital managers as part of the 73 Intelligence platform; investors shown on its own site include Blackstone, Goldman Sachs, Hamilton Lane and Golub Capital. source
- Allvue — Front-to-back suite for private equity, private credit and CLO managers, spanning portfolio management, trade order management, fund accounting and investor portals. source
- Allvue Fund Accounting — Fund and investment accounting for private capital managers, formed in 2019 by merging Black Mountain and AltaReturn. source
- Allvue Investment Compliance Management — Compliance across hypothetical, pre-trade, allocation and post-trade stages for private debt and CLO managers, covering CLO, 40 Act, UCITS and BDC tests. source
- Allvue Research Management — Research capture for credit and private debt teams that feeds analyst views directly into Allvue's portfolio management and trade blotter workflow. source
- Allvue Trade Order Management — Order management inside an alternatives-focused platform, aimed at credit, private equity and fund managers rather than long-only equity desks. source
- Arcana — Portfolio intelligence for hedge funds combining a core factor model, thematic and intraday live risk, crowding and concentration analysis. source
What to ask
These come from the same question bank our request-for-proposal process uses, so a guide
and an RFP never drift apart. The four sections below carry the most weight in that bank.
Functional fit
Whether the system does the job for YOUR instruments, markets and volumes — not for the demonstration portfolio. The questions separate what runs in production today from what is on the roadmap, because that distinction disappears in a sales meeting and reappears during implementation. It also asks what still has to be typed in by hand, which every system has and few volunteer.
- Which asset classes does the product support in production today?
- Is there a full audit trail of who changed what and when, and can it be exported?
- Does the system enforce segregation of duties between front and back office?
- Is maker-checker approval supported on material actions, and is it configurable by action type?
- Can a valuation be sourced and approved independently of the people who trade?
Security and resilience
Whether the vendor's security is independently attested or merely asserted. The questions ask for certifications you can read, penetration tests you can see the summary of, and recovery objectives that are written down. Incident history is asked directly, because a vendor that has handled a breach well is often a safer choice than one that has never been tested.
- Which independent attestations do you hold currently?
- Will you provide the most recent report under a non-disclosure agreement?
- Is data encrypted in transit and at rest?
- Is single sign-on supported, and is multi-factor authentication enforced?
- Can your own staff see our data, and is that access logged and reviewable by us?
Commercial terms
Total cost across the whole term, and what happens if you leave. Year one is asked separately from years two to five because year one hides where the money goes. The section asks explicitly what is NOT included, since the gap between the quote and the invoice lives there, and it asks about exit terms while you still have the leverage to negotiate them.
- How is the product priced?
- What is the total first-year cost for our stated requirement, including implementation?
- What is the total annual cost in years two through five?
- What is NOT included in that figure?
- Is there a contractual cap on annual price increases?
Artificial intelligence
If a model touches your data, on what terms. This section exists because the answers differ enormously between vendors and are rarely offered unprompted. It asks whether your data trains models serving other clients, whether you can opt out and keep full function, whether a human reviews output before it affects a book or a client report, and who is liable when a model is wrong. Skip it only if you genuinely do not care.
- Does the product use machine learning or generative AI anywhere in its normal operation?
- Is client data ever used to train models that serve other clients?
- Can we opt out of AI features entirely and keep full product function?
- Does our data leave your infrastructure to reach those providers?
- Is a human review step required before an AI output affects a book, a trade or a client report?
You can send all 150 of these questions to the vendors you choose,
and get every answer back side by side. Run an RFP — it is free to
you and free to them.
See all 89 products in Portfolio monitoring
· Glossary