Built for Emerging Managers
Institutional from day one.
Fund I, with the process of Fund IV. Screening, IC discipline and LP reporting that read like a platform, from a team of three.
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- Firm-isolated by design
- Every answer cited
- Every action audited
- MNPI-aware
- SOC 2 in progress
The problem
LPs do not grade on a curve.
The diligence questionnaire assumes a back office you do not have. Until now the choice has been headcount or corners, and neither raises Fund II.
01
Screen like a platform
Small team. Full coverage.
Every deck is read against your thesis and logged with a decision. Nothing depends on who was in the office that week.
02
Run IC from deal one
Discipline is a template away.
The Library carries your memo template, your checklist and your standards, so the third deal is judged with the same rigour as the thirtieth.
03
Report like Fund IV
The update LPs forward.
LP updates draft on schedule from the corpus, figures cited to the fund model, and you sign what ships.
Carried by
The co-workers that do this work.
Born inside a fund
We were this buyer. IQ began as the internal tooling of a fund that had to look institutional before it had the headcount, and the discipline it enforces is the discipline we needed.
The questions firms actually ask.
How fast can we be live?
Cohort onboarding is guided by the founding team. You are working with IQ during the cohort, not waiting on a rollout.
Will LPs accept AI-drafted reporting?
They accept accurate, cited reporting. Every figure traces to its source and you sign what ships. The investor decides.
What does it cost?
Pricing is agreed per cohort, not from a rate card. Join the waitlist and we will talk specifics when a seat opens.
Whose data does it learn from?
Your corpus is isolated to your firm and never trains any model, ours or anyone else’s. MNPI is classified at ingest and excluded from retrieval. The trust page carries the architecture.