Gradient Ventures

Type

Venture Capital

Status

Active

Location

Mountain View, United States

Total investments

234

Average round size

15M

Portfolio companies

145

Rounds per year

33.43

Lead investments

68

Follow on index

0.37

Exits

5

Stages of investment
SeedEarly Stage Venture
Areas of investment
InternetSoftwareFinancial ServicesFinTechInformation TechnologyArtificial IntelligenceMachine LearningSaaSEnterprise SoftwareDeveloper Tools

Summary

In 2017 was created Gradient Ventures, which is appeared as VC. The fund was located in North America if to be more exact in United States. Gradient Ventures seemed to be an CVC arrangement as part of the organization. The leading representative office of defined VC is situated in the Mountain View.

Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight AllyO, Mojo Vision, Sapling. We can highlight the next thriving fund investment areas, such as SaaS, Artificial Intelligence. For fund there is a match between the location of its establishment and the land of its numerous investments - United States. The fund has no specific favorite in a number of founders of portfolio startups. If startup sums 1 or 5+ of the founder, the chance for it to be financed is low.

The real fund results show that this VC is 39 percentage points more often commits exit comparing to other companies. The fund is generally included in 13-24 deals every year. The important activity for fund was in 2019. When the investment is from Gradient Ventures the average startup value is 5-10 millions dollars. Comparing to the other companies, this Gradient Ventures performs on 26 percentage points less the average number of lead investments. The common things for fund are deals in the range of 10 - 50 millions dollars. The higher amount of exits for fund were in 2019.

The current fund was established by Anna Patterson, Kelsey Taylor, Zachary Bratun-Glennon. We also calculated 5 valuable employees in our database.

The typical case for the fund is to invest in rounds with 3-4 participants. Despite the Gradient Ventures, startups are often financed by Techstars, Real Ventures, SOSV. The meaningful sponsors for the fund in investment in the same round are First Round Capital, Kleiner Perkins, Y Combinator. In the next rounds fund is usually obtained by Plug and Play, Y Combinator, Work-Bench.

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Investor highlights

Industry focus
AI/Big DataCloud/InfrastructureDeveloper ToolsConsumer/RetailFintech Show 9 more
Stage focus
Series APre-SeedSeed
Check size
100K — 10M

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Investments analytics

Analytics

Total investments
234
Lead investments
68
Exits
5
Rounds per year
33.43
Follow on index
0.37
Investments by industry
  • Software (126)
  • Artificial Intelligence (64)
  • Information Technology (43)
  • Machine Learning (41)
  • SaaS (40)
  • Show 166 more
Investments by region
  • United States (183)
  • Finland (3)
  • Canada (7)
  • Mexico (4)
  • United Kingdom (4)
  • Show 8 more
Peak activity year
2021
Number of Unicorns
2
Number of Decacorns
2

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Quantitative data

Avg. startup age at the time of investment
4
Avg. valuation at time of investment
49M
Group Appearance index
0.96
Avg. company exit year
4
Strategy success index
0.80

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Fondeadora 16 Mar 2021 Internet, Financial Services, FinTech, Banking, Crowdfunding, Crowdsourcing, Debit Cards Early Stage Venture 14M Mexico City, Mexico
Gynger.io 20 Jun 2024 Financial Services, Finance, Productivity Tools, Point of Sale, Sales Automation Early Stage Venture 20M United States, New York, New York
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.