TeleSoft Partners
Venture Capital
Active
San Francisco, United States
98
23M
45
3.63
10
0.53
28
- Stages of investment
- Areas of investment
Summary
TeleSoft Partners is the famous VC, which was founded in 1996. The venture was found in North America in United States. The main office of represented VC is situated in the San Francisco.
The fund was created by Arjun Gupta. The overall number of key employees were 4.
The usual cause for the fund is to invest in rounds with 4-5 partakers. Despite the TeleSoft Partners, startups are often financed by Enterprise Partners, Battery Ventures, VentureTech Alliance. The meaningful sponsors for the fund in investment in the same round are Sequoia Capital, Intel Capital, Battery Ventures. In the next rounds fund is usually obtained by Intel Capital, Azure Capital Partners, Enterprise Partners.
Among the most successful fund investment fields, there are Enterprise Software, Manufacturing. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. Among the various public portfolio startups of the fund, we may underline BayPackets, Nexant, CreekPath Systems Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund. The fund has specific favorite in a number of founders of portfolio startups. In case when startup counts 4 or 5+ of the founder, the chance for it to get the investment is meager.
The usual things for fund are deals in the range of 10 - 50 millions dollars. The fund is constantly included in 2-6 deals per year. Opposing the other organizations, this TeleSoft Partners works on 1 percentage points less the average amount of lead investments. The high activity for fund was in 2000. The top amount of exits for fund were in 2006. Considering the real fund results, this VC is 4 percentage points less often commits exit comparing to other organizations. The typical startup value when the investment from TeleSoft Partners is 100-500 millions dollars.
Investor highlights
- Industry generalist
- Yes
- Industry focus
- Stage focus
Discover reliable insights
Find relevant VC investors, identify key contacts and secure funding opportunities.
Investments analytics
Analytics
- Total investments
- 98
- Lead investments
- 10
- Exits
- 28
- Rounds per year
- 3.63
- Follow on index
- 0.53
- Investments by industry
- Software (41)
- Telecommunications (30)
- Manufacturing (28)
- Electronics (21)
- Information Technology (18) Show 74 more
- Investments by region
-
- United States (86)
- Belgium (1)
- United Kingdom (2)
- Germany (3)
- Mexico (2) Show 2 more
- Peak activity year
- 2000
- Number of Unicorns
- 2
- Number of Decacorns
- 2
- Number of Minotaurs
- 1
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
- 19
- Avg. valuation at time of investment
- 323M
- Group Appearance index
- 0.92
- Avg. company exit year
- 8
- Avg. multiplicator
- 3.07
- Strategy success index
- 0.80
Need more data?
Get access to full data about investors, including their team, contact information, and historic data.
Latest deals
Company name | Deal date | Industry | Deal stage | Deal size | Location |
---|---|---|---|---|---|
AmberWave | 11 Jan 2002 | Biotechnology, Software, Information Technology, Robotics, Manufacturing, Market Research, Semiconductor, Electronics | Early Stage Venture | 25M | United States, New Hampshire |
Collabspot | 08 Oct 2013 | Software, B2B, Enterprise Software | Seed | 64K | Singapore, Central |
Kapital | 14 Apr 2022 | Asset Management, Financial Services, FinTech, Finance, Mobile Payments, Wealth Management | Early Stage Venture | 8M | Distrito Federal, Mexico City, Mexico |
Similar funds
By same location
By same geo focus
By doing lead investments
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.