AI transformation for venture capital funds and fund operations
Venturecapital
Native builds AI agents for VC fund operations: portfolio statements, LP reporting, fund data and deal flow, with every write approved by your team.
Where AI has an impact in venture capital
Portfolio statement processing
Capital account statements and schedules of investments read in any format and turned into proposed record updates.
Fund data upkeep
Positions, valuations and ownership kept current in Airtable or your fund system, behind approval.
LP reporting
Quarterly letters and capital account figures drafted from the fund's own records.
LP questions
Requests about commitments, distributions and portfolio companies answered from the record.
- Portfolio monitoring
- Deal flow triage
- Fund-of-funds look-through
- Audit preparation
Native helps venture capital firms put AI agents into fund operations: reading portfolio and fund statements, keeping the fund's data current, drafting LP reporting and sorting deal flow. Every change to your records waits for a person's approval. At Crossover, a San Francisco venture fund, Native's agents process the statements from more than 20 underlying funds in production.
Case study · Crossover
Crossover runs its fund data on agents, from statement to approved update.
Native helped Crossover, a San Francisco venture fund that invests in emerging managers and select direct companies, put its fund data on agents. In production, they read the statements from every underlying fund, keep the fund's records current, and send each change to the team for approval.
The challenge
Crossover's positions span more than 20 underlying funds plus direct investments, reported by different administrators in formats that change from quarter to quarter. Every figure was read and keyed by hand.What we built
- Agents that read every statement as it arrives, whatever the administrator or the format.
- Matching of each position to the right fund and company, with every change checked against the fund's current records.
- One review screen where the team sees each proposed update beside its source statement and approves it in a click.
The result
Statements from every underlying fund now flow into Crossover's records as they arrive, ready for approval. The team reviews instead of retyping, and every change is on record.Frequently asked questions
How are venture capital firms using AI?
Mostly in fund operations and deal flow: reading portfolio statements, keeping fund data current, drafting LP reporting and triaging inbound decks. Partners keep the investment decisions.
Can AI read fund statements and capital account statements?
Yes, across formats and administrators, including layouts that change between quarters. At Crossover, Native's agents read the statements from more than 20 underlying funds in production, across 48 formats.
Is it safe to let AI update our fund records?
Only through an approval step. Agents propose each change with its source beside it, a person approves, and only that step holds write access. Every write is logged and can be undone.
What does an AI transformation partner do for a VC fund?
An AI transformation partner maps the fund's operations, writes down the fund's own rules for its data, and builds agents that follow them inside the fund's systems. At Native the same forward-deployed engineers build and run the agents until your team takes them over.
How long does it take to automate VC fund reporting?
Crossover went from kickoff to a working end-to-end system in two weeks, and it now runs in production every quarter. Nothing writes to the fund's records without a person's approval.
