FundPulse is the intelligence layer your existing system was never designed to provide.
Every IR professional we spoke to said some version of the same thing: "The CRM is excellent at collecting information. But the 'so what?' part is terrible." A larger fund's IR function has solved the capture problem. The data is in the system. Interactions are logged. Notes are filed. The problem is synthesis: the data sits there, accumulated but inert, until someone manually works through it and tries to extract a decision.
Which LPs are showing signs of drifting? Which conditions set 18 months ago are now satisfied? Which relationships are at risk ahead of a redemption window? The answers are in the data. They're just not surfaced. That's the gap FundPulse closes.
The home screen of FundPulse is a plain-English question box. Not a dashboard of charts. Not a filtered list view. A question. "Which LPs have gone quiet in the last 60 days?" "What's our full credit-sleeve exposure?" "Which conditions set more than six months ago remain uncontacted?"
These aren't searches through a database. They're questions answered with sourced intelligence. The difference matters: a search requires you to know what you're looking for. A question surfaces what you didn't think to look for. The answers can be pinned as live widgets that refresh automatically and live on the team's home screen.
An allocator says "come back when you're at $2 billion." That's not a rejection. It's a conditional future commitment. In most IR systems, it becomes a CRM note and is never automatically retrieved. When the fund crosses $2B, no one's system tells you.
FundPulse mines every interaction record for conditions: AUM thresholds, track record requirements, co-investment criteria, governance timelines. It tracks each one automatically and surfaces a re-engagement alert, with a drafted email, the moment the condition is satisfied. The conditions a predecessor set three years ago are visible to the current IR team today.
A larger manager running multiple vehicles has a complexity problem that CRMs handle poorly. An LP may have exposure to the flagship fund, an interest in the new long-only sleeve, and a question outstanding about the credit strategy. The full picture of that relationship spans three fund records and several interaction threads.
FundPulse holds everything in a unified LP record. Total allocation across vehicles. Redemption history. Strategy-specific preferences. Cross-fund condition flags. When the head of IR asks "what's our full picture with Crownland Pension," the answer reflects the entire relationship, not just the record for the fund the question was asked in.
For a larger manager, compliance is a board-level concern. It's not enough to have policies. You need a system that enforces them by construction. FundPulse tracks every LP's jurisdiction, investor category, origination record, KYC status, and side letter terms.
Restricted documents (side letters, MFN agreements) are excluded from the AI context before the model ever sees them. The information barrier is architectural, not a policy the team is supposed to remember to enforce. Every email is a draft. Nothing auto-sends. The audit trail is immutable: every communication, every recommendation, every action taken, logged with the date, the user, and the context.
When a regulator asks "who communicated what to which investor and when", that's a query, not a discovery exercise.
The IR function you need without the hire you're not ready to make. Daily priorities, pre-meeting briefs, and the $2B re-engagement moment.
See how → For IR teams Small IR teamsTwo people covering 150 LPs. DDQ automation, relationship pulse, drafts queue: the admin compresses, the relationship time expands.
See how →We'll walk through multi-fund intelligence, the ask-native workflow, and the compliance architecture in the demo.
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