Private Capital
Self-updating LP and portfolio reporting. Portfolio monitoring metrics update from source data, not a static export, with consistent definitions across every portfolio company.
Get guided setupPortfolio reporting that stays current, not a quarterly export
Private capital firms typically produce LP and portfolio reporting from static exports assembled ahead of each reporting cycle. QuaerisAI resolves portfolio questions from live source data instead, so a metric reflects current data rather than a snapshot that was already aging by the time it was compiled.
A single certified definition applies consistently across every portfolio company, so metrics like revenue growth, margin, IRR, or TVPI are comparable across the portfolio rather than depending on how each company’s own systems happen to define them.
Benefits
This agent framing helps portfolio teams report on current data with consistent definitions across every company.
- Time efficiency: Remove the manual export and compilation work behind each reporting cycle.
- Consistent definitions: The same metric definition applies across every portfolio company.
- Traceable answers: Every portfolio figure traces back to its source company system.
- Governed access: LP and internal views respect existing role-based access.
- Current data: Metrics reflect live source data, not a static quarterly export.
- Consistent methodology: Portfolio-wide comparisons use the same certified logic throughout.
Problem addressed
LP and portfolio reporting is often built from static exports gathered from each portfolio company ahead of a reporting deadline, a process that takes time and produces a snapshot that is already out of date by the time it reaches an LP, whether that is a capital account statement or a portfolio performance summary. Comparing metrics across portfolio companies is further complicated when each company’s underlying systems define metrics slightly differently.
Resolving portfolio questions directly from live source data, through one certified definition, removes both the compilation delay and the cross-company inconsistency at the same time.
What the agent does
- Resolves portfolio questions from live source data, not static exports
- Applies one certified definition consistently across every portfolio company
- Traces every figure back to its source portfolio company system
- Enforces role-based access for LP and internal views
- Reduces the manual compilation work behind each reporting cycle
Why do this with AI
Portfolio reporting across many companies, each with its own systems and conventions, is exactly the kind of repetitive, cross-source reconciliation work that benefits from a consistent, automated approach. An agent grounded in one certified definition removes the need to reconcile each company’s figures by hand.
Instead of spending reporting season assembling and reconciling exports, portfolio teams can spend that time on the analysis behind the numbers.
Who this agent is for
- Reduce manual compilation work behind each LP reporting cycle
- Compare portfolio companies using one consistent certified definition
- Trust that reported metrics reflect current, not static, source data
- Enforce appropriate access for LP-facing versus internal views
- Trace every reported figure back to its source system
How it works
The agent resolves each question through the same governed pipeline as every other QuaerisAI agent: identity and permissions are checked first, the question is mapped to certified definitions, a governed query runs against the source data, and the result is returned with a full audit record attached.