Standard Chartered Private Equity
6
78M
5
3
0.17
- Areas of investment
Investor highlights
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Investments analytics
Analytics
- Total investments
- 6
- Lead investments
- 3
- Follow on index
- 0.17
- Investments by industry
- Financial Services (3)
- Finance (3)
- Enterprise (2)
- Food and Beverage (2)
- Internet (1) Show 9 more
- Investments by region
- India (4)
- China (1)
- United Arab Emirates (1)
- Peak activity year
- 2019
- Number of Unicorns
- 1
- Number of Decacorns
- 1
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Leverage validated data, identify key contacts and secure funding opportunities for your business.Quantitative data
- Avg. startup age at the time of investment
- 29
- Avg. valuation at time of investment
- 240M
- Group Appearance index
- 0.67
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Latest deals
| Company name | Deal date | Industry | Deal stage | Deal size | Location |
|---|---|---|---|---|---|
| Think Bioscience | Jan 20, 2026 | Applied Enzymology, Applied Microbiology, Autoimmune Disease, Computational Chemistry, Computational Science, Drug Discovery, Enzymology, Medicinal Chemistry, Metabolic Disease, Oncology, Protein Biophysics, Small-Molecule Therapeutics, Synthetic Biology | - | 55000000 USD |  Boulder, Colorado |
| Air | Sep 1, 2025 | Automation, Creative Operations, Workflow Automation | Growth stage | 35000000 USD | New York |
| Hydrolix | Mar 4, 2025 | AI/Machine Learning, Content Delivery, Cybersecurity, Data Lake Platform, Data Management Platform, Digital Advertising, Observability, Regulatory Compliance, Security, Streaming Data Lake | - | 80000000 USD | Portland, Oregon |
| DataGalaxy | Jul 6, 2023 | data and analytics governance, Data Catalog, Data Governance, SaaS | Early stage | 10000000 USD |  Lyon, |
| CoverTree | Sep 19, 2022 | Automated Underwriting, Data-driven Pricing, Digital Distribution, Insurtech | Early stage | 10000000 USD | Detroit, Michigan |
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.