
Discover if this is a suitable investor for your startup. If they are we'll make a warm introduction for free. Otherwise, we'll connect you with matching investors.
DataPower Ventures is a venture capital firm founded to invest in data products that enhance lives. Established in New York City and Silicon Valley, the firm focuses on supporting data and AI startups. The team comprises experienced professionals in technology and innovation, which allows them to provide substantial support to their portfolio companies.
Currently, DataPower Ventures manages a portfolio of 27 companies, with a check size range of $100K to $200K. The firm has a global investment perspective, primarily focusing on North America. Notable milestones include their investments in leading AI companies such as OpenAI and Databricks, showcasing their commitment to advancing technology.
DataPower Ventures has built a reputation for its tailored support throughout the growth journey of its portfolio companies. Their investment strategy emphasizes applied AI, data infrastructure, analytics, and DeepTech, aiming to foster growth in startups that are shaping the future of technology.
DataPower Ventures invests in startups that utilize data and AI technologies across various sectors, including healthcare, fintech, enterprise software, and sustainability. The firm targets companies at different stages, from seed rounds to Series B and beyond, providing tailored support throughout their growth journey. Their check sizes typically range from $100K to $200K, indicating a focus on early-stage investments.
The firm emphasizes applied AI and DeepTech, seeking out innovative solutions that enhance lives. DataPower Ventures looks for founders who demonstrate a strong vision and capability to execute their ideas. They prefer to engage with companies that are developing data products that can significantly impact their respective industries.
Geographically, DataPower Ventures maintains a primary focus on North America while also considering global opportunities. Their investment thesis revolves around the belief that data products can drive substantial improvements in various sectors, particularly in healthcare and finance.
DataPower Ventures has built a diverse portfolio of 27 companies, showcasing their commitment to investing in transformative data and AI technologies. Notable portfolio companies include:
This portfolio reflects DataPower Ventures' focus on applied AI and DeepTech, with investments spanning various industries, including healthcare and finance. The firm actively seeks to support companies that are at the forefront of technological advancement.
David Yakobovitch, General Partner & Managing Director: David has a background as an operator-turned-investor, having launched DataPower Ventures after engaging in over 100 LP conversations. His expertise lies in applied AI and DeepTech investments.
Christina Ellwood, Advisor: Christina brings valuable insights and experience to the firm, contributing to the strategic direction and investment decisions.
Christopher Sanchez, Advisor: Christopher provides advisory support, leveraging his background in technology and innovation to assist portfolio companies in their growth journeys.
To pitch DataPower Ventures, founders should visit their website at datapower.vc. The pitch deck should include a concise overview of the business model, market opportunity, competitive landscape, and team qualifications. DataPower Ventures prefers well-structured decks that clearly articulate the startup's vision and potential.
Response times may vary, but founders can expect to hear back within a few weeks. Warm introductions are beneficial, but not mandatory, for securing a meeting with the firm.
As of September 2025, DataPower Ventures has made one new investment in the past 12 months, indicating a modest pace of activity. Recent investments include Apptronik, a company focused on humanoid robotics, Unconventional AI, and Castelion, which specializes in defense technology.
The firm continues to maintain a strong portfolio of 27 companies, with notable names such as OpenAI, Anthropic, and Databricks. Their focus on applied AI and DeepTech remains a key aspect of their investment strategy.
What are DataPower Ventures' investment criteria?
DataPower Ventures invests in startups utilizing data and AI technologies across sectors such as healthcare, fintech, and enterprise software. They focus on companies at seed to Series B stages, with check sizes ranging from $100K to $200K.
How can I apply or pitch to DataPower Ventures?
Founders can pitch their ideas through the DataPower Ventures website at datapower.vc. It is recommended to include a clear business model, market analysis, and team background in the pitch deck.
What makes DataPower Ventures different from other VC firms?
DataPower Ventures emphasizes tailored support throughout the growth journey of its portfolio companies, leveraging the extensive experience of its team in technology and innovation.
What is the geographic scope of DataPower Ventures?
The firm primarily focuses on North America but is open to global investment opportunities, particularly in sectors aligned with their investment thesis.
What is DataPower Ventures' post-investment involvement like?
DataPower Ventures provides ongoing support to its portfolio companies, assisting with strategic guidance, operational support, and access to their network of industry contacts.
What is the typical check size for investments?
DataPower Ventures typically invests between $100K and $200K in their portfolio companies, focusing on early-stage funding rounds.
All trademarks, logos and brand names are the property of their respective owners. All company, product and service names used in this website are for identification purposes only. Use of these names, trademarks, and brands does not imply endorsement.