Page One Ventures Research
Investment Thesis
Page One Ventures is a Silicon Valley-based early-stage venture capital firm founded in 2020/2021 by General Partner Mo El-Bibany. The firm's stated thesis is that "the rise of technology companies is still at its inception and the epicenter will continue to be the San Francisco Bay Area." Page One invests in software transforming existing markets and in deep technology creating entirely new ones, with a stated focus at the convergence of traditionally disparate disciplines. The firm leverages long-standing partnerships with institutional investors and technical operators to provide patient capital and international positioning to founders from inception. Through prior funds, the partners have backed more than 50 companies that have gone on to raise over $1.5 billion in follow-on financing at an aggregate enterprise value exceeding $20 billion.
Sector Focus
Page One's three core areas are deep tech, life sciences, and B2B/enterprise software, with a particular and growing emphasis on AI infrastructure and data infrastructure. Portfolio evidence spans quantum and superconducting compute (Sygaldry, Snowcap Compute, Ayar Labs), applied AI and AI research labs (Thinking Machines, x.ai, Altana, TextQL, Vectara), robotics and autonomy (Applied Intuition, Sunrise Robotics, AIM Intelligent Machines), biotech and life sciences (Edison Scientific, Portal Biotechnologies, Integrated Bio, Ability Biologics, Range Bio), healthcare software (Foundation Health, Medplum, Ryght, Claryo), fintech (Monarch Money, Tesouro), aerospace (SpaceX, Astranis, Vaire), and crypto/web3-adjacent consumer infrastructure (Brave, Dapper Labs).
Stage Focus
Page One directs its core investment strategy across pre-seed, seed, and Series A rounds for emerging technology startups, positioning itself as an early, often non-lead participant that stays involved through a company's growth via follow-on activity and its network.
Check Size
Specific check size figures are not publicly disclosed. Sourcing and third-party trackers (Crunchbase, PitchBook) note the firm's financial details are largely obfuscated. Given the pre-seed-to-Series-A stage focus and typical syndicate participation alongside institutional leads, checks are likely in the low-to-mid six figures, though this could not be confirmed from public sources.
Lead Tendency
Across the announced rounds reviewed (Thinking Machines led by a16z; Sygaldry's Series A led by Breakthrough Energy Ventures; Edison Scientific led by Triatomic Capital and Spark Capital; Stuut led by Andreessen Horowitz; Applied Intuition's Series F co-led by BlackRock and Kleiner Perkins; Monarch Money led by FPV and Forerunner; Snowcap Compute led by Playground Global), Page One consistently appears as a participating rather than leading investor, typically alongside larger, brand-name lead firms. No public source reviewed shows Page One credited as a round leader.
Recent Activity
The firm's own newsletter cadence (Summer 2024, Summer 2025, Spring 2026) is the best public record of activity. In its Summer 2025 newsletter, Page One highlighted a "recent" investment in Thinking Machines (Mira Murati's AI research lab, backed by a16z) alongside Sygaldry (quantum-accelerated AI servers, Chad Rigetti and Idalia Friedson). Its Spring 2026 newsletter reported portfolio momentum rather than new checks: xAI/SpaceX's planned IPO at a $1.75T valuation following a $20B Series E in January 2026, Applied Intuition's $600M Series F, Sygaldry's $105M Series A, Edison Scientific's $70M Seed, and Stuut's $29.5M Series A. Third-party trackers (Tracxn, as of October 2025) counted only one new Page One investment in the trailing twelve months, suggesting the fund's pace of net-new checks has slowed even as existing portfolio companies raise substantial follow-on rounds.
Portfolio Highlights
Page One's "SELECT" portfolio and past investments include several category-defining companies: SpaceX, x.ai (now merged with SpaceX), Neuralink, Applied Intuition, Thinking Machines, Brave, DataRobot, Dapper Labs, Ayar Labs, Astranis, Fly.io, Monarch Money (named Wall Street Journal's Best Overall Budgeting App of 2024), and Twelve. The firm states it has 5 unicorns in its portfolio and has backed 68+ companies to date (per Tracxn). Notable recent momentum includes Sygaldry's $139M combined Seed/Series A, Applied Intuition's $600M Series F, and xAI's $20B Series E ahead of a reported IPO planning at a $1.75T valuation.
Team
- Mo El-Bibany — Founder & General Partner. Directs the firm's core investment strategy, allocating capital across pre-seed, seed, and Series A rounds.
- Ameena El-Bibany — Venture Partner, leads life sciences and healthcare investing. Moderated a panel at Baker Bio Labs (UC Berkeley's life science incubator) and guest-hosted office hours for the Merck Digital Science Studio venture studio.
- Marc-Alexandre Saba — Venture Partner.
- Chris V. Nicholson — AI and deep tech investor at Page One; has been quoted in the New York Times and San Francisco Examiner on AI industry developments (e.g., DeepSeek).
Decision Process
The firm operates as a small partnership (one GP plus a small number of venture partners covering specific domains such as life sciences), consistent with a partnership-style decision process rather than a solo-GP or formal investment-committee structure.
Founder Preferences
Not explicitly documented in public sources. Portfolio composition suggests a preference for technical founders with deep domain expertise building at the frontier of AI, compute infrastructure, and life sciences (e.g., Thinking Machines' team drawn from OpenAI, DeepMind, and Anthropic; Sygaldry founded by Rigetti Computing's founder).
Geographic Focus
Headquartered in the San Francisco Bay Area / Silicon Valley, with an explicit thesis that the Bay Area will remain the epicenter of technology company formation. Portfolio companies are predominantly US-based.
Notes on Data Quality
Financial details (AUM, fund size, check size) are not publicly disclosed and could not be independently verified. Several portfolio company domains could not be confirmed with high confidence and were left blank rather than guessed, per data-quality guidance.