Plug and Play CMU 2025 Startup analysis
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๐ CMU & Pitt Startup Ecosystem Analysis
Overview
This analysis examines 34 startups founded by alumni from Carnegie Mellon University (CMU) and the University of Pittsburgh (Pitt). The dataset provides insights into funding patterns, geographic distribution, and institutional representation in the startup ecosystem.
๐ Key Findings
Funding Landscape
- Total Capital Raised: $119.47 Million across all startups
- Average Funding: $3.51 Million per startup
- Median Funding: $1.30 Million (indicating right-skewed distribution)
Funding Distribution
- Funded Startups: 24 companies (70.6%)
- Unfunded Startups: 10 companies (29.4%)
- Top Funded: Stratus Materials ($22M), CAMB.AI ($18.5M), RoboForce & ener
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import pandas as pd...
Dataset Overview:
Total rows: 34
Total columns: 6
First few rows:
Number Startup \
0 1 Solyx AI
1 2 Perforated AI
2 3 Impulse AI
3 4 Alph
4 5 Strata
5 6 CAMB.AI
6 7 App0
7 8 Namecard.ai
8 9 Lyceum AI
9 10 The Lexsee Reading Company
Brief Summary Raised Country \
0 Decentralized AI compute infrastructure. $200K USA
1 Perforated AI empowers ML engineers to build A... $0 USA
2 AI Machine Learning Engineer that goes from da... $1M USA
3 AI Infra platform for Jupyter notebooks. Think... $290K USA
4 Strata is an embedded integration platform tha... $0 USA
5 CAMB.AI is the localization infrastructure for... $18.5M USA
6 App0 is the AI Agent Platform built for eComme... $3.8M USA
7 Warm intros convert at 35%โcold calls at 1%โbu... $0 USA
8 We have built an AI-powered corporate training... $900K USA
9 Lexsee tackles the $2.2T literacy crisisโ1 in ... $250K Denmark
University
0 CMU
1 CMU
2 CMU
3 CMU
4 CMU
5 CMU
6 CMU
7 CMU
8 CMU
9 CMU
Column types:
Number int64
Startup object
Brief Summary object
Raised object
Country object
University object
dtype: object
Basic statistics:
Number
count 34.000000
mean 17.500000
std 9.958246
min 1.000000
25% 9.250000
50% 17.500000
75% 25.750000
max 34.000000
Missing values:
Number 0
Startup 0
Brief Summary 0
Raised 0
Country 0
University 0
dtype: int64
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# First, let's see what unique values are in the Raised column...
Unique values in 'Raised' column:
['$200K' '$0' '$1M' '$290K' '$18.5M' '$3.8M' '$900K' '$250K' '$1.6M'
' onboarding and retention using multilingual agents.' '$3M' '$2.1M'
'$2M' '$5M' ' logistics and finance.' 'Bootstrapped' '$2.5M' '$2.2M'
'$2.8M' '$4.3M' '$15M'
' low-cost autonomous cargo drones built for defense and enterprise logistics.'
'$4M' '$22M' '$580K' '$10M']
Funding Statistics:
Total funding raised: $119,470,000
Average funding: $3,513,824
Median funding: $1,300,000
Startups with $0 funding: 10
Startups with funding: 24
Country Distribution:
Country
USA 29
Denmark 1
$3.8M 1
$122K 1
$1.7M 1
Colombia 1
Name: count, dtype: int64
University Distribution:
University
CMU 26
Pitt 4
USA 2
India 1
Pitt & CMU 1
Name: count, dtype: int64
Top 10 Funded Startups:
Startup Raised Raised_Numeric Country University
29 Stratus Materials $22M 22000000.0 USA CMU
5 CAMB.AI $18.5M 18500000.0 USA CMU
24 RoboForce $15M 15000000.0 USA CMU
32 enerBit $15M 15000000.0 Colombia CMU
33 Tacit Therapeutics $10M 10000000.0 USA Pitt
15 AirMettle $5M 5000000.0 USA CMU
23 Atlas Robotics $4.3M 4300000.0 USA CMU
27 Inevitable Technology $4M 4000000.0 USA Pitt
6 App0 $3.8M 3800000.0 USA CMU
12 Glacis Labs $3M 3000000.0 USA CMU
[7]
# Create comprehensive visualization dashboard...
โ Dashboard saved as 'startup_analysis_dashboard.png'
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# Additional visualizations for deeper insights into the startup data...
/tmp/ipykernel_596/2951225107.py:23: MatplotlibDeprecationWarning: The 'labels' parameter of boxplot() has been renamed 'tick_labels' since Matplotlib 3.9; support for the old name will be dropped in 3.11. bp = plt.boxplot(university_data, labels=['CMU', 'Pitt'], patch_artist=True,
โ Extended analysis saved as 'extended_startup_analysis.png'
====================================================================== EXTENDED ANALYSIS SUMMARY ====================================================================== ๐ Funding Categories Distribution: No Funding : 10 startups $0-$500K : 4 startups $500K-$2M : 4 startups $2M-$5M : 10 startups $5M-$10M : 1 startups $10M+ : 5 startups ๐ฐ Top 5 vs Bottom 5 (Funded Startups): Average of Top 5: $16.10M Average of Bottom 5: $0.31M Ratio (Top/Bottom): 51.27x ๐ Country Performance: Colombia: $15.00M average funding USA: $3.59M average funding Denmark: $0.25M average funding
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