Different teams work from different numbers.
Investment, finance, operations, and investor relations each keep their own version of the truth. Reconciling them becomes a recurring exercise instead of a solved problem.
Purpose-built for private equity · venture capital · private credit · real assets · SOC 2 Type II in progress
Investment, finance, operations, and investor relations each keep their own version of the truth. Reconciling them becomes a recurring exercise instead of a solved problem.
Valuations, LP reporting, compliance calendars and approvals depend on files that are difficult to govern and impossible to scale — so every quarter-end becomes a fire drill.
Generic AI tools sit outside your systems — blind to your data, your permissions, your controls. Fragmented data doesn't just slow the team down; it locks the firm out of the leverage AI should already be delivering.
mgmnt.work brings deals, funds, portfolio companies, investors, financials, documents, compliance and analytics together into one institutional system the whole firm works from.
Funds, portfolio companies, deals and LPs are defined once. Every dashboard, fund report and export then reads from the same numbers.
Update a valuation once and every dashboard, fund report and LP statement reflects it immediately — no exports, no reconciliation.
Permissions, audit trails and approvals are built into the system itself, not bolted on after the fact.
Because every record is defined, permissioned and audited, AI can safely read it, reason over it, and draft against it — that's the difference between an AI feature and an AI-native firm.
Not a chatbot bolted on the side. The AI reads the same governed records your team does, respects every permission down to the field, and puts a human sign-off in front of anything it wants to change.
Ask a question the way you'd ask an analyst. The copilot resolves your live records first, then composes the answer as real KPIs, charts and record cards — and any answer worth keeping pins as a dashboard that stays live.
ARR growth is concentrated in software: Vantage Software (+31%) and BrightPay (+24%) lead the portfolio, while Meridian Foods is the only decline.
Hand the AI a task, not a prompt. Safe reads run instantly; anything that would change a record becomes a proposal a human approves — maker-checker, applied to machines.
Drop in a CIM, a cap table or last quarter's report — records, whole data models, workflows, LP report templates, compliance programs and metrics come back as drafts you review and commit.
Financial statements, rent rolls and portfolio reports parse straight into governed metrics — with page-level provenance on every number, so you can always see where a figure came from.
The AI sees only what you can see — field-level ACLs and record visibility apply to every answer, and every AI action lands in the same immutable audit trail as your team's.
From portfolio tables to LP reporting, every view draws on the same trusted data. Walk through the firm’s day-to-day, one workflow at a time.
Permission-aware to the field — actions a user can’t take aren’t shown.
| Q1 | Q2 | Q3 | Q4 | FY | |
|---|---|---|---|---|---|
| Revenue | 48 | 52 | 55 | 57 | 212 |
| Gross Profit | 31 | 34 | 36 | 37 | 138 |
| GP Margin | 64.6% | 65.4% | 65.5% | 64.9% | 65.1% |
| OpEx | (23) | (24) | (24) | (24) | (95) |
| EBITDA | 8 | 10 | 12 | 13 | 43 |
| ARR | 182 | 188 | 193 | 198 | — |
One workspace holds funds, portfolio companies, deals and LPs. Filter, group and act in place, with access that scopes down to the individual record and field.
IRR, TVPI, NAV and every metric you register — tracked daily against targets, with alerts that watch overnight. Trends, breakdowns, funnels and cohorts, composed with inline pills on the same governed data.
Move deals from sourcing through IC approval. Tasks, gating and sign-offs travel with them, so nothing slips between stages.
Valuations, distributions, and IC decisions move through approval chains you define, with an immutable record. Every figure traces to its source and the sign-off that authorized it.
Roll operating metrics up from company to fund — controlled and versioned, with the precision of a model behind every figure. Drop in a PDF or spreadsheet and AI files the metrics for you, provenance included.
Plot holdings, assets, and exposure across regions. Switch the moment you need a different angle on the same trusted data.
A metric registry, daily history and a pill-based explorer on the same governed data as every other screen — so "what's our IRR trend?" is a ten-second question, not a two-day exercise.
Quarter-end shouldn't mean two weeks of copy-paste. Templates bind to live records, your brand applies automatically, and the server renders the PDFs — one tear sheet or the entire portfolio in a single run.
Revenue grew 11% quarter-over-quarter on continued payer expansion, with EBITDA margin reaching 20.3%. The Q2 mark of $540M was approved by the IC on June 14. — AI summary, refreshed from live data.
Control isn’t a feature bolted on top. It’s built into the system itself, so every screen, export and integration inherits it automatically.
Every value traces cleanly back to its source, the calculation that produced it, and the person who entered it — nothing ever happens off the record.
Roles scope all the way down to individual objects and fields. Anything a person isn't cleared to see or do simply never appears on their screen.
Valuations, distributions, and IC decisions move through approval chains you define yourself — every step signed off and captured in an immutable record.
Pin your data to the EU, US, or India and trust it stays there — region-locked, encrypted in transit, and never replicated across borders, with SOC 2 Type II well underway.
KYC dossiers, filing calendars, attestation campaigns and mandate limits monitored against live positions — breaches open themselves, and closing one requires a second signature.
GDPR and CCPA are workflows here, not policies in a binder: one-click DSAR exports, approval-gated erasure, and retention rules that watch themselves.
Manual entry is why CRMs die. Point mgmnt.work at an API, a website or a spreadsheet and the data arrives on schedule — validated, deduplicated, and queued for a human when something looks off.
Add a fund, a new record type, or a field the moment the business changes — no engineering tickets, no rebuilds. Describe an automation in plain English and the AI drafts it on the canvas; you review the rules, then it runs. Controls come along by default, either way.
Track financial, operational and valuation metrics across every portfolio company, roll them up to the fund, and run simulations that surface variances before the IC asks for them.
Drop a CIM, a cap table or a rent roll on the AI and the records build themselves — linked, validated, permissioned. Your analysts spend the week on judgment; the system does the typing.
⌘K answers portfolio questions from live data, and the same data flows into branded tear sheets and quarterly reports — quarter-end without the fire drill.
Every dashboard, report and export reads the same governed record, and automation absorbs the operational load that growth used to add in hires.
Filings on a calendar, attestations on campaigns, mandates monitored against live positions, privacy on rails — the documentation already exists when the regulator asks.
In a 30-minute session we’ll show how your deals, funds, portfolio companies and LP data would operate inside one system — and what its AI answers, drafts and watches for you — using your own data rather than slideware.