How to run an investor data room as Small Investor Relations Teams
Your two-person IR team is the bottleneck for every capital call notice, every LP data request, and every board KPI refresh. You're manually exporting QuickBooks reports, copy-pasting Plaid transaction data into Excel, and reformatting the same five tables for the quarterly LP letter at 11pm before the deadline. Your data room in DocSend or Intralinks is perpetually one version behind. LPs email asking for commitment pacing or J-curve figures and you spend an hour hunting through three systems to answer a question that should take five minutes. The institutional IR platforms — Juniper Square, Addepar, iLevel — would solve some of this, but at $50k+ per year they assume a dedicated IR-ops analyst you don't have.
What you'll set up
Apps, data, and prompts
The combination of Starch apps, the data sources they pull from, and the prompts you use to drive them.
Starch syncs your QuickBooks data on a schedule (invoices, payments, journal entries, income statements), syncs Plaid transactions and balances on a schedule, and syncs Stripe charges and payouts on a schedule. Gmail is synced on a schedule for email thread history. LinkedIn enrichment runs through browser automation — no LinkedIn API needed. DocSend and Intralinks data room access logs are pulled through browser automation. Contract Lifecycle Management (coming soon) will handle subscription agreements and side letters; in the interim, Starch can automate document retrieval from your existing DocSend or Google Drive folder through browser automation or Starch's integration catalog.
Step-by-step
See this running on Starch
Connect your tools, describe what you want, and the agent builds it. Closed beta is free.
Q1 2026 LP Letter and Capital Call — $180M fund, 34 LPs
| Total committed capital | 180,000,000 |
| Called capital to date (65.2%) | 117,360,000 |
| Q1 2026 capital call (8% of commitment) | 14,400,000 |
| Q1 distributions paid | 3,100,000 |
| LPs with open call balance (>5 days past due) | 3 |
| LP letters drafted and queued | 34 |
It's March 28, 2026. Your Q1 close is in three days and you need to send 34 LP letters, a capital call notice for $14.4M (8% of commitment across all LPs), and refresh the data room with February financials. In previous quarters this took your team four days across two people. With Starch, the Investor Reporting app has already synced the February QuickBooks income statement and Plaid transaction data overnight. You open the LP letter generator, tell it 'draft Q1 letters for all 34 LPs, include each LP's capital account statement, fund-level net IRR of 18.4%, TVPI of 1.31x, and a two-sentence update on Portfolio Co #7's Series B,' and Starch produces 34 drafts in minutes — each with the correct individual capital account figures pulled from QuickBooks. The capital call automation calculates each LP's pro-rata share of the $14.4M call, drafts the notices, and queues all 34 for your review. You approve and send via Gmail; every send logs automatically in the CRM. Three LPs haven't confirmed receipt by day five — your weekly Slack digest flags them by name. You reply to each in under ten minutes. The data room refresh runs through browser automation: Starch uploads the updated financials to DocSend without you touching the portal. Total active time: under four hours, down from four days.
How you'll know it's working
What this replaces
The other ways teams handle this today, and how the Starch version compares.
One platform — investor reporting, crm, contract lifecycle management all running on connected data. Setup in plain English; numbers stay current via scheduled syncs and live agent queries.
Try it on Starch →Frequently asked questions
Does Starch connect to Juniper Square or Addepar directly?
What happens when a QuickBooks P&L report needs to go into the LP letter?
Is Starch SOC 2 certified? LP data is sensitive.
Can Starch handle fund structures with side letters or different economics per LP?
We use Outlook, not Gmail. Does the LP communication tracking still work?
How does Starch handle historical data — we need J-curve charts going back to fund inception?
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Read guide →Ready to run run an investor data room on Starch?
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