SDC Capital Partners

New York, United States
Active
Total investments

8

Average round size

62M

Portfolio companies

8

Rounds per year

1.33

Lead investments

8

Exits

3

Stages of investment
Late Stage Venture
Areas of investment
InternetInformation TechnologyMobileInformation ServicesNetwork SecurityData CenterTelecommunicationsService IndustryCommunications InfrastructureResidential

Investor highlights

Industry generalist
Yes
Industry focus
GeneralistAI/Big DataB2B/EnterpriseCloud/InfrastructureConsumer/Retail Show 6 more
Stage focus
Series CSeries DSeries FSeries E
Check size
From 50M

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Investments analytics

Last fund

Fund size
USD 1500000000
Fund raised date
2022-06-01

Analytics

Total investments
8
Lead investments
8
Exits
3
Rounds per year
1.33
Investments by industry
  • Telecommunications (4)
  • Information Technology (3)
  • Service Industry (2)
  • Data Center (2)
  • Communications Infrastructure (2)
  • Show 9 more
Investments by region
  • United States (6)
  • Brazil (2)
Peak activity year
2019
Number of Unicorns
1
Number of Decacorns
1
Number of Minotaurs
1

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Quantitative data

Avg. startup age at the time of investment
12
Avg. valuation at time of investment
225M
Group Appearance index
0.12
Avg. company exit year
8
Avg. multiplicator
1.37

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Latest deals

Company nameDeal dateIndustryDeal stageDeal sizeLocation
Imagine PediatricsSep 17, 2025Pediatric Medical Group, Tech-enabled Healthcare, Value-based Care, Virtual and In-home Care-67000000 USD Nashville, Tennessee
CorticaApr 25, 2022Autism Care, Behavioral Analysis, Biotech Therapeutics, Clinical Trials, Developmental Therapies, Digital Therapeutics, Family Support, Molecular Diagnostics, Neurodiverse Conditions, Neuroimaging, Neuromodulation, Tech-Enabled Care-- California
How we get our data

At Unicorn Nest, we combine cutting-edge technology with human expertise to build one of the most reliable venture capital databases in the market. Our process begins with automated AI-enhanced data collection, leveraging the full potential of Large Language Models (LLMs).

Later, our team of analysts takes it further with manual verification, using proprietary tools for data cleaning and validation to ensure accuracy and reliability. We cross-check and enhance our findings through press and media monitoring, integrating information from trusted news outlets and venture capital aggregators. Finally, we stay ahead of the curve by monitoring social networks like LinkedIn and X.com.