Angeleno Group

Los Angeles, United States
Private equity
Active
Total investments

35

Average round size

23M

Portfolio companies

21

Rounds per year

1.59

Lead investments

7

Follow on index

0.40

Exits

7

Stages of investment
SeedPrivate EquityEarly Stage VentureLate Stage Venture
Areas of investment
BiotechnologyEnterprise SoftwareManufacturingCleanTechEnergyRenewable EnergySolarAgricultureFuelEnergy Management

Summary

Angeleno Group is the famous VC, which was founded in 2001. The company was established in North America in United States. The main office of represented VC is situated in the Los Angeles.

Among the most popular portfolio startups of the fund, we may highlight Stem, Amonix, Miles Electric Vehicles. Among the most successful fund investment fields, there are Automotive, FinTech. Besides, a startup needs to be aged 6-10 years to get the investment from the fund. The fund has exact preference in a number of founders of portfolio startups. For fund there is a match between the location of its establishment and the land of its numerous investments - United States.

This organization was formed by Daniel Weiss, Yaniv Tepper, Zebediah Rice. Besides them, we counted 2 critical employees of this fund in our database.

Considering the real fund results, this VC is 12 percentage points more often commits exit comparing to other organizations. The fund is constantly included in 2-6 investment rounds annually. The increased amount of exits for fund were in 2015. The high activity for fund was in 2007. The common things for fund are deals in the range of 10 - 50 millions dollars. This Angeleno Group works on 10 percentage points less the average amount of lead investments comparing to the other organizations.

The usual cause for the fund is to invest in rounds with 4-5 partakers. Despite the Angeleno Group, startups are often financed by DFJ, Technology Partners, Granite Ventures. The meaningful sponsors for the fund in investment in the same round are Kleiner Perkins, Element Partners, DFJ. In the next rounds fund is usually obtained by Kleiner Perkins, DFJ, Catamount Ventures.

Show more

Investor highlights

Discover reliable insights

Find relevant VC investors, identify key contacts and secure funding opportunities.

Investments analytics

Analytics

Total investments
35
Lead investments
7
Exits
7
Rounds per year
1.59
Follow on index
0.40
Investments by industry
  • Manufacturing (12)
  • Renewable Energy (8)
  • Energy (6)
  • Solar (6)
  • Fuel (6)
  • Show 45 more
Investments by region
  • United States (33)
  • United Kingdom (1)
  • Australia (1)
Peak activity year
2009

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
17
Avg. valuation at time of investment
4M
Group Appearance index
0.83
Avg. company exit year
12
Strategy success index
0.20

Need more data?

Get access to full data about investors, including their team, contact information, and historic data.

Latest deals

Company nameDeal dateIndustryDeal stageDeal sizeLocation
ALWANS16 Sep 2017Early Stage Venture4MSaudi Arabia, Eastern Region, Saudi Arabia
01 Sep 2007Manufacturing, Computer, Energy, Renewable Energy, Wireless, Energy ManagementLate Stage Venture12MUnited States, " United States"}
LongShine Technology03 Mar 2011Enterprise SoftwareSeedAnhui, Dangtu County, China
PrordrUK05 Feb 2021Seed125KOxfordshire, Oxford, United Kingdom
Pruuvn12 Oct 2021Software, Information Technology, Human Resources, SaaS, BlockchainSeedUnited States, Atlanta, Georgia
Zhejiang Zhongchuai08 Oct 2015Sales, Manufacturing, Electronics, Service Industry, LightingSeed463KZhejiang, Shangcheng District, China

Similar funds

By same location

By same geo focus

By doing lead investments

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.