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Zeroth
Zeroth, led by Tak Lo in Hong Kong, is Asia's first AI-focused accelerator, backing over 100 pre-seed and seed-stage machine-learning companies globally.
Zeroth
Launched by Tak Lo in Hong Kong, Zeroth emerged as a dedicated pre-seed and seed-stage investor when artificial intelligence was still a niche thesis in Asian venture capital. The firm positioned itself around a simple structural bet: that technical founders building machine-learning infrastructure and applications would define the next generation of Asian enterprise value. Rather than competing for late-stage allocations, Zeroth built a pipeline that starts at incorporation. Zeroth targets frontier-technology companies across Asia, North America, and Europe, with a portfolio spanning enterprise software, fintech, digital health, and climate technology. The firm writes initial checks at the pre-seed and seed stages, often as the first institutional capital into a startup. Portfolio companies have included Qritive, a Singapore-based AI pathology platform; Daisee, an Australian conversation-analytics company; and Fano Labs, a Hong Kong speech-recognition firm serving regulated industries. The accelerator model gives Zeroth a structured window into hundreds of early-stage technical teams each year. Tak Lo leads a compact investment team from Hong Kong, with a portfolio that has grown to more than 100 companies across at least 20 countries. The firm has maintained a lean operating structure characteristic of early-stage investors who prioritize capital efficiency. In September 2024, Zeroth continued its pre-seed deployment cadence, adding several undisclosed AI-native startups to its portfolio through its latest accelerator cohort (public record). Zeroth's structural distinction lies in its accelerator-plus-fund hybrid model — part mentorship program, part venture vehicle — which gives it proprietary access to founders at the moment of company formation. This architecture places it upstream of the multi-stage Asian VC firms that dominate later rounds, effectively warehousing deal flow before competitive tension emerges.
General information
Firm type
Generalist
Year founded
—
AUM
Undisclosed
Location
Region
Asia
Country
Hong Kong
City
Hong Kong
Corporate office
Hong Kong, Hong Kong
Principals
Tak Lo
Managing Partner
Sector focus
Frequently asked questions
Who runs investment decisions at Zeroth?
Tak Lo is the Managing Partner and primary decision-maker at Zeroth. He founded the firm and leads the investment committee, which evaluates pre-seed and seed-stage artificial intelligence companies across Asia, North America, and Europe. Lo's technical background and network within the machine-learning research community inform the firm's sourcing and selection.
How does Zeroth source its deal flow?
Zeroth operates an accelerator model that generates proprietary deal flow through open calls, technical-founder referrals, and partnerships with research labs and university AI programs. The accelerator structure allows the firm to review hundreds of early-stage teams each year and invest before competitive venture rounds form. This upstream position gives Zeroth visibility into founders at the point of incorporation.
Is Zeroth a venture fund or an accelerator?
Zeroth operates as an accelerator-plus-fund hybrid — it runs cohort-based programs that provide mentorship and initial capital while maintaining a venture-style investment vehicle for follow-on allocations. The firm writes pre-seed and seed checks through the accelerator program and reserves capital to support portfolio companies through subsequent rounds.
What investment stages does Zeroth target?
The firm concentrates on pre-seed and seed stages, typically serving as a company's first institutional investor. Zeroth's average entry point is at formation or shortly after product conception, with check sizes calibrated for technical founding teams building AI and machine-learning infrastructure or applications.
Which sectors does Zeroth actively invest in?
Zeroth targets artificial intelligence and machine-learning companies across enterprise software, fintech, digital health, and climate technology. The firm is thesis-driven around technical founders applying deep learning, natural language processing, and computer vision to industry-specific problems in regulated or enterprise markets.
Profile maintained by Altss using OSINT (open-source intelligence), regulatory filings, licensed data partners, and verified direct submissions. Read the methodology. Last updated: . Continuous refresh with full update cycles at least every 30 days.
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