How Fundra works
The principles behind the product – one connected ledger, everything calculated rather than typed, and full portfolio context from every source.
Fundra is portfolio monitoring for venture funds. It holds the investment ledger, the numbers your companies report, the context around them, and the reporting you send to LPs – in one place, connected.
It was built by ex-VCs who wanted the product they couldn't buy. That shows up mostly in the details: it automates your workflows, what the system refuses to let you type, what it calculates for you, and how hard it works to keep a messy portfolio consistent while being super founder friendly.
One source of truth, for everyone
Most fund software is finance software: the finance team lives in it, and everyone else asks the finance team for numbers. Fundra is built for the whole firm – investment teams, finance, legal, marketing, IR – with the permissions and custom fields to match.
That's a design goal, not a slogan. When funds onboard everyone rather than just the finance team, 50–60% of employees typically become daily active users. The test of a single source of truth is whether people actually go there first.
Everything is connected
The investment ledger is built on shares and share prices, not on typed-in summary figures. Every position is derived from the transactions underneath it: shares acquired, share price paid, splits, conversions, secondaries, exits. Valuations, ownership, multiples and returns are all computed from that base.
Which means Fundra deliberately won't let you enter some numbers. You cannot type in a pre-money valuation – pre-money is one of the most commonly wrong figures in the market, wrong even in signed investment documents, and if you enter it by hand you inherit the error. Fundra derives it from share price and share count instead.
The same principle runs throughout: if it can be calculated, it is calculated. Fundra computes measures that stay correct across share splits, down rounds, bridge conversions and other lifecycle events – including multiple on original share price, which is the honest measure of how a share you bought has actually developed. The model was built against thousands of real transactions, not a textbook.
The practical effect is that mistakes are structurally hard to make. Errors in portfolio data usually come from someone re-keying a derived figure into a spreadsheet – so Fundra doesn't ask you to.
100% coverage of portfolio context
A position is not just its cost and its valuation. The useful context is the reporting around it, and Fundra pulls that in automatically rather than asking anyone to file it:
- Investor updates and board material arrive by email and are matched to the right company.
- Board meeting notes sync from Granola.
- AI extraction reads the numbers out of what arrives – investor updates, cap tables, board decks, financial statements, meeting notes – with a reference back to the exact cell or text fragment it came from.
- External data enriches the picture: third-party sources like LinkedIn for headcount and hiring signals, and first-party sources like company registrars for filings and legal data.
The goal is coverage from the moment of investment onward, without anyone maintaining it by hand.
Where to go next
Data model
Companies vs. portfolio companies, and custom fields for every team.
Investment ledger
How positions are built from shares, what each figure means, and what the statuses signify.
Valuations
IPEV and IFRS 13 workflows applied automatically – round write-ups, FX, waterfalls and overrides.
KPIs and financials
How reported numbers are extracted, reconciled and turned into comparable metrics.
Programmable templates
Build LP reports in HTML, Tailwind and Handlebars – with a full helper reference.
Data and compliance
Where your data lives, how provenance is kept, and how to export everything.