Web Analytics

3 Latest Announced Rounds

  • $3,500,000
    Seed

    1 Investors

    Technology, Information and Internet
    Dec 20th, 2024
  • $5,619,170
    Series B

    1 Investors

    Research Services
    Dec 20th, 2024
  • $8,000,000
    Unknown

    5 Investors

    Computer & Network Security
    Dec 20th, 2024
$671.88M Raised in 44 Funding Rounds in the past 7 Days - View All

Funding Round Profile

Crowdbotics

start up
United States - Berkeley, California
  • 26/01/2023
  • Series B
  • $40,000,000

Crowdbotics uses a combination of machine learning and expert developers to help both technical and non-technical teams build complex software applications faster.

Crowdbotics is a remote-first company with a small headquarters in Berkeley, CA.


Related People

Anand KulkarniFounder

Anand Kulkarni United States - Berkeley, California,

Anand is CEO of Crowdbotics, a new tool for rapid application development. Crowdbotics lets anyone create software, using visual builders to create cross-platform React Native and Django apps in minutes, without coding. Over 20,000 apps have launched on the Crowdbotics platform, including mission-critical healthcare applications, venture-backed software products earning millions in revenue, financial trading engines, learning management platforms, and government tools.

Anand was previously co-founder and Chief Scientist of LeadGenius, a Y Combinator, Sierra Ventures, and Lumia Capital-backed startup using human computation and deep learning to automate account-based marketing (ABM). LeadGenius has raised over $20M in venture funding and developed best-in-class marketing automation technology used by Fortune 500 customers like Google, eBay, and Box. In conjunction with nonprofits like the World Bank, LeadGenius generates fairly-paid digital employment for over 500 individuals in 40 countries.

Anand has been named as one of Forbes Magazine's "30 under 30" Top 30 Entrepreneurs Under 30. Anand has published over a dozen papers in ACM, AAAI and IEEE magazines, journals, and conferences. Anand previously held a National Science Foundation graduate research fellowship in mathematics. He holds degrees in Industrial Engineering and Operations Research, Mathematics, and Physics from UC Berkeley.

Specialties: Crowd computing, machine learning, theory of algorithms, operations research, linear and nonlinear optimization, microwork, computational geometry, mathematical modeling, robotics, telerobotics