Built around the questionsyour IC actually asks.

The GP documents your firm already has, turned into one database you can search.

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Why LP Dossier

The private-markets database you already own, built from the documents GPs have been sending your firm for years.

01 · Manager assessment

What do we know about this GP?

Never start a diligence from zero again. Everything the GP showed you before is already there.

Performance across every vintage

Fund-level returns side by side across the GP's full history, on the same basis instead of a different deck per fundraise.

Deal-level track record

The deals behind the headline multiples, searchable instead of buried in a spreadsheet tab.

Cash flows and PME

DPI and PME (public market equivalent: the fund's cash flows priced against an index) next to the reported IRR. An IRR can be managed for a fundraise. Cash that has come back cannot.

Including the funds you passed on

Every GP you ever diligenced, not just the ones you invested in.

02 · Asset pricing

What should we pay for this asset?

Never overpay for an asset again. Comp sets and precedent transactions from everything your firm has ever seen, including deals inside funds you passed on.

Filter a comp set

Screen every transaction in your archive to build the comp set for the deal on your desk.

Your comp sets, kept

Every comp set your team builds is saved with its filters and goes straight to Excel for the IC deck. The next SaaS deal starts from the five SaaS comp sets the firm already made.

How GPs mark

Every quarterly report is a set of marks. Read across managers and quarters, they show which GPs mark generously and how marks move before an exit.

03 · Benchmarking

Is this fund really top quartile?

Never take 'top quartile' on faith again. Half of all funds can claim top quartile if they pick the right benchmark. Your archive is the one peer universe nobody curated to look good.

Your own peer universe

Vintage and strategy peer sets built from funds your firm has actually seen, including the ones you passed on. No vendor universe has those.

Audit the quartile claim

When a deck says top quartile, rerun it: your peer set, your vintage definition, IRR or TVPI or DPI. Then the harder test is PME, which measures the fund against a public index instead of a peer group anyone got to pick.

Terms against the archive

Fee, carry and hurdle from every fund you have seen, as the range to judge the next one by.

04 · Institutional memory

What does the firm already know?

The knowledge currently scattered across shared drives and people's heads, in one place your whole firm can search.

One search across everything

Search GPs, funds, deals and documents from one bar.

A page for every GP and fund

Each one is built from every document that mentions it.

The archive, intact

Whole data rooms dropped in as they are: no tagging, no templates.

05 · Terms & alignment

What does the manager actually take?

Fee, carry, expenses and the alignment they add up to, recorded exactly as the fund documents state them: nothing estimated, nothing filled in from market standard.

Fees and carry

Management fee and its basis, carried interest, preferred return and catch-up, read from the LPA and PPM.

Offsets and commitment

Fee offsets and the GP's own commitment, where the documents disclose them.

06 · Audit trail

Can we show where every number came from?

Every value links to its source page, so anyone can check where a number came from.

Split-pane review

The value on one side, the source page on the other, the exact spot highlighted. Approve without leaving the screen.

Doubtful values wait for a person

Anything the checks are unsure of waits in one list for a person. It never counts in a figure until someone decides.

A record for every value

The document and page behind every value, kept with it. Exports keep the source on every number.

07 · AI adoption

How do we put AI to work today?

When the board asks what the firm is doing about AI, this is the answer you can point to.

Nobody writes prompts

LP Dossier's AI reads every page you upload and fills in the values itself.

Every value has a source

Every value the AI proposes carries its source. Nothing you upload is used to train AI models.

Not a chatbot over your OneDrive

A chatbot answers one question at a time. LP Dossier turns the folder into a database you can screen and benchmark.

Security & data ownership

Your documents stay yours.

Concrete commitments you can check.

A database of your own

Each client gets its own database and file store, in the region it chooses. No other client's data sits beside yours.

AI that keeps nothing

The AI reads a page and keeps nothing afterwards. Your documents never train a model.

Audited infrastructure

Hosting and database run on providers audited to SOC 2 Type 2 and ISO 27001. Data is encrypted at rest and in transit.

Leave with everything

Export the full database at any time. When you leave, your data and backups are deleted.

Investor types

Built for allocators who receive GP documents

See your archive as a database