Founders doing IR
Small IR teams
Established IR functions
For founders

You didn't start a hedge fund to spend Thursday afternoon updating a spreadsheet.

FundPulse is the IR function you need, without the hire you're not ready to make.

Most emerging fund managers are doing investor relations themselves. Not because they lack the skill (they're excellent in a room with an LP), but because at $300M–$800M, the economics of a dedicated IR hire don't yet make sense. So IR happens on the edges. Sunday evening before a Monday call. The ten minutes between a Bloomberg alert and a morning meeting. The last thing at night when you notice a name in your inbox you haven't replied to.

The result is a function that works well enough, most of the time, until it doesn't. A warm prospect goes cold because the follow-up was delayed three weeks. A re-engagement moment is missed because the condition an LP mentioned eighteen months ago lived in a note nobody looked at. FundPulse is built for exactly this: a founder who is the fund's best IR asset, who needs an operating system that makes sure nothing falls through.

The morning question

Who should I contact today, and why?

Every morning, FundPulse answers this question with a ranked, evidence-backed list. Not a generic reminder that you haven't spoken to someone in a while. A prioritised view of the relationships that need attention, with the specific reason surfaced and the source cited.

Three items. Three different reasons. Every one of them sourced. Click through and you see exactly where it came from. This is not the AI guessing. This is your own data, organised and surfaced at the moment it becomes relevant.

Today's priorities
1
Arden Capital Partners Cooling
Engagement score declining. Last contact 34 days ago. Historically re-engages after quarterly letters. None sent this quarter.
Fact AI Interaction log, Q2
2
Highland Tech Endowment Condition met
AUM condition satisfied: fund crossed $2B on 4 Oct. Re-engagement draft ready for review.
Fact AI Meeting note, 14 mo. ago
3
Crownland Pension Trust Cold
91 days since last contact. Last note: reviewing hedge fund allocation in Q4. Q4 begins in 12 days.
Fact Call summary, August
Pre-meeting brief: Sterling Family Office · 10:00
Condition flagged LP stated: "come back when you've had another strong quarter." Last strong quarter: Q3. AI
Relationship 3 years. 8 meetings. Warm throughout. Last contact 22 days ago. Fact
Allocation $15M since 2022. No redemptions. MFN clause: yes, terms restricted. Fact
Standing Qs Risk management in drawdown periods. Co-investment appetite. AI
Compliance Non-US person. Specific documentation required before subscription increase. Fact
Suggested agenda Q3 performance attribution · co-investment update · ask re: Q4 allocation intent. AI
The pre-meeting brief

Arrive prepared for every conversation, not just the ones you had time to prepare for.

It's 7am. You have a meeting at 10. You know you had a good call with this LP six months ago and they mentioned something about one more strong quarter. But the note is buried, and your usual prep is twenty minutes in your email hoping you didn't miss anything.

FundPulse composes the brief overnight: the LP's stated investment criteria, the last three interactions summarised, the condition they set, compliance requirements, and a suggested agenda. Every line is sourced from your relationship record.

Nothing is invented. If FundPulse doesn't have a source for a claim, it doesn't make it.

When the system remembers for you

"Come back at two billion. We want to see you at scale."

Every IR person has heard some version of this. The LP is interested. They're just not ready yet. They've set a condition (an AUM milestone, a track record threshold, a strategy shift they want to see) and they expect you to remember it and come back at the right moment.

In practice, the right moment often passes unnoticed. The condition was logged in a note, the note was filed, the note was forgotten. FundPulse mines your relationship records for conditions. When an LP states a threshold, it's extracted and tracked. The moment the underlying data satisfies it, FundPulse flags it, drafts the re-engagement email, and routes it for your review.

You don't have to remember. The system remembers. And the draft is grounded in the relationship history: it references the original conversation, the condition as stated, and the current data that satisfies it.

Condition satisfied: action required
Condition met
Highland Tech Endowment
Condition logged 14 months ago: "Come back when AUM reaches $2B." Current AUM: $2.03B.
Fact: AUM record AI: condition extracted
Draft ready for review
"...I recall our conversation in March when you mentioned the $2B threshold. I'm glad to report we crossed that milestone last month. I'd welcome the chance to reconnect..."
Review & send → Edit draft
Pipeline as capital, not contacts

Your pipeline is not a list of names. It's a number.

A founder might say "I've got $80M soft-circled." But if $30M of that is actually indicated interest, and $15M is an investor who said yes eighteen months ago but hasn't signed anything, the real number is different. And the number you're managing your fund against should not be wrong.

FundPulse tracks pipeline across four states (indicated, soft-circled, committed, and closed) and never conflates them. Your pipeline view shows gross capital, probability-weighted capital, and 90-day expected closes. When an LP moves states, the weighted figure updates immediately. When a soft circle ages past your threshold without movement, it's flagged.

Indicated
$47M
6 investors
Soft-circled
$31M
4 investors
Committed
$22M
3 investors
Closed
$180M
18 investors
Gross pipeline
$100M
Probability-weighted
$44M
90-day expected
$19M

Up and running within a week

FundPulse connects to your existing email and calendar. Every LP interaction is logged automatically from day one: calls, meetings, emails in and out. If you have historical notes in a spreadsheet or an existing CRM, you can bring them in.

Within a few days of setup, you have a working system of record. More importantly: the institutional memory you're building doesn't live in your head or your inbox anymore. If you eventually hire an IR professional, they inherit a complete relationship record: every interaction, every stated preference, every condition, every flag.

You stay in control of every relationship

Nothing in FundPulse auto-sends. Every email it drafts is a draft. You review it, you approve it, you send it from your own mailbox. The LP receives a message from you, because it is from you. This matters for a founder who is personally responsible for every LP relationship.

Every AI-surfaced claim carries a visible tag: FACT (from a stored record), AI (model inference), EXT (external signal), or STALE (data older than threshold). Click any claim to see its source.

See what your LP book looks like in FundPulse → We set up an initial view of your actual LP relationships in the demo session.
Also see

FundPulse works for every IR function size

For IR teams Small IR teams

Two people covering 150 LPs: DDQ automation, relationship pulse, drafts queue, weighted pipeline.

See how →
For established IR Established IR functions

The intelligence layer your existing CRM was never designed to provide. Ask your book anything, get a sourced answer.

See how →
Ready to begin

See your fund in FundPulse.

We set up an initial view using your actual LP data in the demo session. No generic screenshots.

Request a demo →