Headquartered in London, United Kingdom, and founded in 2018 by Alberto Rizzoli and Simon Edwardsson, V7 is a leading training data platform for AI. In November 2022, V7 announced the largest Series A investment in the category to date of $33m led by Temasek and Radical Ventures including participation from seed backers Partech, Amadeus Capital Partners and Air Street Capital. Their active Advisors include leading AI experts:
Developing a clear talent strategy for V7 to capture a strategic position in their core market of enabling AI product development in a highly volatile and transformative market was the focal point of our initial collaboration. Telling a clear and concise story with V7 as an enabler to the AI industry coupled with an appreciation of the product strategy, business model and financial goals enabled V7 to attract leadership critical to their global growth and success with global enterprise customers on a pathway to category leadership and significant future fundraising.
$33m
Raised in Series A funding
c.120
Employees based in London with some remote members
Florence's extensive experience in product marketing at CARTO, a geospatial analytics SaaS leader, set her apart in the international search for marketing leadership. With this appointment, Florence will refine the company's go-to-market proposition and marketing strategy in the dynamic AI domain.
As a trailblazer in AI training data platforms, V7's enterprise-ready solutions and innovative approach have earned them a spot among the most promising B2B SaaS companies of the year.
These insights guide startups to swift and effective fundraising strategies, ensuring a motivated team and a successful outcome.
Explore how V7, the trailblazing data engine for AI, has secured a monumental $33 million in Series A funding. Co-led by Radical Ventures and Temasek, this funding round propels V7 to new heights, enabling the acceleration of AI innovation.
The platform's unique features, including Auto-Annotate, dataset inspection, and AI model management, position it as a game-changer in the rapidly evolving field of machine learning operations (ML-Ops).
