Growth Stage VC

AI That Thinks Like an Associate

From deal evaluation to portfolio monitoring — clean data, build models, and surface insights 10x faster.

Deal_Analysis_SeriesB.xlsx12 sheets
E2
fx=D2*(1+D7)
A
B
C
D
E
1
Metric
Q1 FY25
Q2 FY25
Q3 FY25
Q4 FY25
2
ARR
3
Net New ARR
4
NDR
118%
120%
119%
121%
5
Gross Churn
1.2%
1.1%
1.0%
0.9%
6
CAC Payback
14 mo
13 mo
12 mo
11 mo
7
QoQ Growth
8
ARR Multiple
9
Monthly Burn
Superjoin Agent

From Deal Evaluation to Portfolio Monitoring

Superjoin handles both sides of the growth investing workflow — cleaning messy deal data and building models pre-investment, then consolidating portfolio MIS and surfacing insights post-investment.

01
Pre-Investment

Clean Messy Deal Data in Minutes, Not Days

Prospective companies send financials in every format imaginable. Superjoin extracts, normalizes, and structures historical data so you can start analyzing immediately.

  • Handle XLS, PDF, and CSV from prospective companies
  • Auto-extract SaaS metrics (ARR, NDR, churn, unit economics)
  • Normalize inconsistent data formats and date conventions
Deal Data IngestionUploading...
XLS
financials_q1_q4.xlsx
2.4 MB
PDF
revenue_breakdown.pdf
890 KB
CSV
arr_export.csv
156 KB
EXTRACTED METRICS
ARR
$12.0M
NDR
118%
Gross Churn
1.2%/mo
CAC Payback
14 months
3 files processedReady for analysis →
02
Pre-Investment

Build Investment Models from a Simple Prompt

Describe the deal in plain English. Superjoin generates ARR projections, valuation comparables, and scenario analysis with full formula transparency.

  • ARR multiple valuations with comparable rounds
  • Multi-scenario analysis (bull / base / bear)
  • Sensitivity tables for growth and multiple assumptions
Valuation
FY25
FY26
FY27
FY28
ARR
NDR
Burn
Implied Val.
Investment model generated • 15x ARR implied at entry
03
Post-Investment

Consolidate MIS From Any File Format

Portfolio companies send MIS in spreadsheets, PDFs, and slide decks. Superjoin ingests all formats, flags discrepancies between sources, and builds a clean consolidated view.

  • Ingest MIS data from XLS, PDF, PPT, and CSV files
  • Flag mismatches and missing data across sources
  • Output a clean, normalized MIS for analysis
BrightSkin MISIngesting Files...
XLS
Q4_Revenue.xlsx
Revenue & channel data
PDF
MIS_Oct_Report.pdf
Monthly P&L summary
PPT
Channel_Breakdown.pptx
Marketing spend by channel
CSV
Expenses_Q4.csv
Line-item operating costs
CONSOLIDATED Q4 METRICS
Revenue
$7.9M
Gross Margin
52%
Monthly Burn
$1.4M
4 files consolidatedReady for analysis →
04
Post-Investment

Walk Into Every Board Meeting Prepared

Superjoin analyzes portfolio MIS data to surface pointed, data-backed questions. Know exactly where to dig before you sit across from the founder.

  • Auto-surface discrepancies between reported metrics and benchmarks
  • Generate specific questions with citations to source data
  • Compare portfolio company metrics to SaaS industry benchmarks
Question GeneratorScanning MIS...
SMB Churn
Benchmark: 2.0%/mo
8.2%/mo
Enterprise NDR
Benchmark: 120%
142%
CAC Payback
Benchmark: 12 months
22 months
Analyzing MIS data...Add to Board Deck →