Use Case / Family Office & PE

Command the
Portfolio.

Stop chasing PDF reports from portfolio companies. The operating system that unifies financials, automates diligence, and standardizes reporting across your entire investment thesis.

12 Brands -> 1 Dashboard
01

The Black Box Portfolio

You manage capital across 10+ distinct entities. Each one has a different ERP, a different marketing agency, and a different definition of "Net Profit."

Your analysts spend 2 weeks every month-end harmonizing spreadsheets just to find out one company has 3 months of runway left. This is diligence by rearview mirror.

Information Latency
20 Days

Avg delay receiving accurate monthly P&L packages.

Target: Real-Time

02

Cross-Entity Data Lake

We ingest data from every portfolio company—normalizing Shopify, Amazon, and QBO instances into a single, standardized schema for the General Partner.

Disparate Entities

Brand A (NetSuite) + Brand B (Xero)

Standardization

Unified Chart of Accounts

GP Dashboard

Aggregated EBITDA View


03

Automated Diligence

Instant Data Audit

Plug into a target's Shopify/Ads APIs. Download 3 years of cleansed transaction history in minutes, not weeks. Validate GMV claims instantly.

Cash Burn Alerts

Real-time monitoring of bank balances vs. accounts payable. Receive SMS alerts if any portfolio company dips below 3 months runway.

Cohort Benchmarking

Compare LTV/CAC ratios anonymously across your entire portfolio. Identify which operators are outperforming the benchmark.

Standardized COA

AI-mapping of messy "Quickbooks Online" categories into a master Chart of Accounts for clean, apple-to-apples EBITDA comparison.


04

Algorithmic Oversight

analytics/portfolio_audit.py
# Scan all portfolio entities for margin degradation
def audit_portfolio_health(fund_id):
    
    entities = get_portfolio_companies(fund_id)
    alerts = []

    for entity in entities:
        # Compare current Contribution Margin vs 6-month moving average
        cm_delta = entity.current_cm - entity.moving_avg_cm_6m
        
        # Check for abnormal ad spend spikes without revenue correlation
        roas_efficiency = entity.ad_spend / entity.new_revenue
        
        if cm_delta < -0.15: # 15% Drop
            alerts.append({
                'company': entity.name,
                'issue': 'Margin Compression',
                'severity': 'HIGH'
            })
            
    return format_gp_report(alerts)

Our models constantly scan for divergence between ad spend, inventory levels, and revenue, alerting the Investment Committee before the quarterly board meeting.

05

The Alpha Delta

Process Analyst / Manual With WRKSHP
Monthly Reporting 14 Days (Post-Close) Live (T+0)
Chart of Accounts Fragmented / Messy Standardized (AI)
Diligence Time 2-3 Weeks 48 Hours
Cash Visibility Monthly Snapshot Daily Alerts

Centralize your investment thesis.

Schedule a demo of the Portfolio OS. We'll show you how to connect your first 3 portfolio companies in under an hour.

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