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Key people at DataPower Ventures.
DataPower Ventures is a venture capital firm specializing in investments across data, Applied AI, and DeepTech. The firm targets multi-stage startups developing software at the intersection of data and artificial intelligence, seeking to harness data's transformative power. Their portfolio emphasizes advanced AI research, infrastructure, and innovative applications driving industry evolution.
Established in 2021, DataPower Ventures was co-founded by David Yakobovitch, who serves as Managing Director. The firm’s genesis stemmed from recognizing data's exponential power and its capacity to fundamentally reshape businesses. This core conviction directs their strategic focus towards companies capitalizing on data-centric and AI-driven advancements.
The firm partners with founders and startups innovating in data and AI, offering capital and support to accelerate development. DataPower Ventures envisions data and AI as critical drivers of technological progress across all sectors. Their long-term objective is to foster success within their portfolio, contributing to reliable and impactful AI systems that transform the landscape.
Key people at DataPower Ventures.
DataPower Ventures is a venture capital firm focused on investing in early-stage startups that leverage data, machine learning (ML), and artificial intelligence (AI) to create transformative business solutions. Their mission centers on harnessing the exponential power of data to drive innovation across sectors such as fintech, health tech, blockchain, and developer tools. By supporting startups at the pre-seed and seed stages, DataPower Ventures aims to empower companies that build data-driven and AI-powered products, enhancing decision-making and operational efficiency in a data-centric economy. The firm is active primarily in the US, Canada, the UK, and Israel, with a portfolio that includes over 30 early-stage companies, some of which have achieved acquisitions and multiple funding markups[1][2][4].
Founded in 2019 by David Yakobovitch, a former tech operator with experience scaling data and AI products at startups and Google, DataPower Ventures emerged from his desire to have a more significant stake in startups beyond early employee equity. Yakobovitch leveraged his deep operational expertise and network to identify promising founders at the intersection of applied AI and deep tech. The firm has evolved from a personal investment vehicle into a fully managed venture fund, supported by a network of over 40 operating partners who provide hands-on expertise in go-to-market, finance, and product development. This operational support model has been key to the firm’s ability to back innovative startups and accelerate their growth[4][1].
DataPower Ventures rides the wave of increasing demand for data-driven and AI-powered technologies that transform traditional industries. The timing is critical as enterprises and startups alike seek to leverage data automation, machine intelligence, and human-augmented workflows to gain competitive advantages. Market forces such as the proliferation of big data, advances in AI/ML algorithms, and the growing need for developer tools create fertile ground for DataPower’s investment thesis. By backing startups that unlock hidden insights and automate complex processes, DataPower Ventures influences the broader ecosystem by accelerating innovation in applied AI and deep tech, particularly in sectors like fintech and health tech[1][2][4].
Looking ahead, DataPower Ventures is poised to deepen its impact by continuing to support early-stage startups that push the boundaries of data and AI. Trends such as democratization of AI tools, increased adoption of human-in-the-loop systems, and expansion of data-centric applications across industries will shape their investment focus. The firm’s operator-driven approach and expanding network of experts position it well to help portfolio companies scale effectively. As AI and data technologies become more integral to business transformation, DataPower Ventures’ influence is likely to grow, making it a key player in nurturing the next generation of data-powered startups[4][1].