Thin Air Labs
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Calgary, Canada24
1M
16
4.00
2
0.21
- Areas of investment
Investor highlights
- Stage focus
- Geo focus
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Find relevant VC investors, identify key contacts and secure funding opportunities.
Investments analytics
Last fund
- Fund size
- USD 20000000
- Fund raised date
- 2024-02-12
Analytics
- Total investments
- 24
- Lead investments
- 2
- Rounds per year
- 4.00
- Follow on index
- 0.21
- Investments by industry
- Health Care (10)
- Software (8)
- Medical (7)
- Medical Device (6)
- Information Technology (4) Show 35 more
- Investments by region
- Canada (24)
- Peak activity year
- 2021
Discover reliable insights
Leverage validated data, identify key contacts and secure funding opportunities for your business.Quantitative data
- Avg. startup age at the time of investment
- 5
- Avg. valuation at time of investment
- 1M
- Group Appearance index
- 0.42
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Latest deals
| Company name | Deal date | Industry | Deal stage | Deal size | Location |
|---|---|---|---|---|---|
| Arbor | 01 Nov 2020 | E-Commerce, Software, Analytics, SaaS, Big Data, Business Intelligence, Market Research, Sustainability, Consumer Research | Seed | 620K | Alberta, Calgary, Canada |
| PayShepherd | 06 Mar 2024 | Financial Services, FinTech, Billing | Seed | 5M | Alberta, Calgary, Canada |
| Company name | Deal date | Industry | Deal stage | Deal size | Location |
|---|---|---|---|---|---|
| Echion Technologies | Nov 21, 2024 | Electric and hybrid vehicles, Lithium-ion batteries, Niobium-based anode materials | - | 10000000 GBP |  Cambridge, England |
| Zedify | Feb 7, 2024 | Cargo bike delivery, Sustainable | - | 4000000 GBP | Cambridge, |
| Zedify | Mar 17, 2023 | Electric Cargo Bike Delivery, Microhubs, Technology Platform | - | 5000000 GBP | Cambridge, England |
| ZeroAvia | Jul 20, 2022 | Hydrogen-electric aviation, Zero-emission aviation | - | 30000000 USD | Farnborough, England |
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.