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Plug and Play Startup Analysis

Startup Analysis

Companies

Startup Ecosystem Analysis: Key Findings

Overview

This analysis examines a dataset of 34 startups from the Pittsburgh and Carnegie Mellon University ecosystem, focusing on funding patterns, university affiliations, and market distribution.

Major Insights

đź’° Funding Landscape

  • Total Capital Raised: $119.47M across all startups
  • Average Funding: $3.51M per startup
  • Median Funding: $1.3M (indicating right-skewed distribution)
  • Funding Status:
    • 24 startups (70.6%) have secured funding
    • 10 startups (29.4%) have not yet raised capital

🏫 University Distribution

The startup ecosystem is heavily concentrated at Carnegie Mellon University (CMU), which accounts for:

  • 26 out of 34 total startups (76.5%)
  • The majority of total funding raised
  • Strong representation in AI and technology
[1]
Dataset shape: (34, 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%—cold calls at 1%—bu...      $0      USA   
8  We have built an AI-powered corporate training...   $900K      USA   
9  Lexsee tackles the $2.2T literacy crisis—1 in ...   $250K  Denmark   

  University  
0        CMU  
1        CMU  
2        CMU  
3        CMU  
4        CMU  
5        CMU  
6        CMU  
7        CMU  
8        CMU  
9        CMU  

Data types:
Number            int64
Startup          object
Brief Summary    object
Raised           object
Country          object
University       object
dtype: object

Unique countries:
Country
USA         29
Denmark      1
$3.8M        1
$122K        1
$1.7M        1
Colombia     1
Name: count, dtype: int64

Unique universities:
University
CMU           26
Pitt           4
USA            2
India          1
Pitt & CMU     1
Name: count, dtype: int64
[5]
Output
============================================================
SUMMARY STATISTICS
============================================================
Total Startups: 34
Total Funding Raised: $119.47M
Average Funding per Startup: $3.51M
Median Funding: $1,300K
Startups with $0 funding: 10
Startups with >$1M funding: 17
============================================================
[6]
/tmp/ipykernel_542/3922738977.py:59: 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 = ax5.boxplot(funding_by_uni, labels=['CMU', 'Pitt', 'Pitt & CMU'],
Output
======================================================================
ADDITIONAL INSIGHTS
======================================================================

Funding Concentration:
  - Top 5 startups hold: 67.4% of total funding
  - Top 5 total: $80.5M
  - Remaining 29 startups: $39.0M

Funding Distribution:
  - 10th percentile: $0K
  - 90th percentile: $13500K
  - Interquartile range: $3600K
======================================================================
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