FFundraiseJet
Zero Prime Ventures logo

Zero Prime Ventures

San Francisco, CA · Invests in US · Website

Check size

$500K-$24.1M

+ Save to my list

Thesis

We back deeply technical engineer-founders building the infrastructure, platforms, and applications powering AI and data. We support pre-incorporation teams and write first checks for exceptional technical talent.

Likely not a fit for

Consumer applications, games, hardware, non-technical founding teams, mature stage companies

How they invest

Lead or follow
Usually leads
Typical decision
~2 weeks
Warm intro
Preferred
Involvement
Takes a board seat
Fund status
Actively deploying
Assets under mgmt
$48M
Decision process
Partnership vote

Partners & team

3 contacts on file

YT

Yang Tran

Partner · Primary contact

PS

Pete Soderling

General Partner & Founder

DR

Diana Rhie

Head of Operations

Portfolio

ModalEnterprise Software

Modal provides high-performance AI infrastructure designed for developers, enabling them to run inference, training, and batch processing with low latency and instant autoscaling.

DagsterEnterprise Software

Dagster is a modern data orchestrator platform that enables users to manage data workflows, ensuring data quality and integration across various sectors.

HoneyHiveEnterprise Software

HoneyHive provides a platform for modern AI observability and evaluation, enabling teams to systematically evaluate and improve AI agents in production through features like distributed tracing, online evaluations, and collaboration with domain experts.

Acryl DataEnterprise Software

Acryl Data provides DataHub, a modern data catalog and metadata platform that transforms enterprise data into trusted context for both humans and AI agents.

DecodableEnterprise Software

Decodable provides a fully-managed, serverless platform for real-time ETL/ELT and stream processing, built on Apache Flink and Debezium, enabling easy development of real-time data pipelines using SQL, Java, and Python.

AnomaloEnterprise Software

Anomalo is an automated AI enterprise data quality platform that helps organizations ensure the accuracy and integrity of their data across various industries.

MotherduckEnterprise Software

MotherDuck is a serverless data warehouse built on DuckDB, designed to provide analytics solutions for data teams, software engineers, and data scientists, enabling them to query data easily using SQL or natural language.

Agno
EmdashEnterprise Software

Emdash is an open-source agentic development environment that allows engineering teams to run multiple coding agents in parallel, each in its own Git worktree, enhancing software development efficiency.

QontextEnterprise Software

Qontext is the independent context layer for AI, aggregating fragmented company knowledge into a governed, continuously evolving company state to enable AI processes to run on a reusable context base.

LizzyAIHr Tech Work

LizzyAI automates candidate interviews with structured, unbiased AI conversations, significantly reducing recruiter workload and improving hiring efficiency and fairness.

CuspAIBiotech Life Sciences

CuspAI is a startup developing AI models for chemistry, focusing on the discovery and production of new materials using advanced AI techniques. The company aims to accelerate the development of breakthrough materials for various applications, including semiconductors and environmental solutions.

Recent activity

Zero Prime Ventures in the news

Similar firms

Research briefRead more
Zero Prime Ventures Research Investment Thesis & Philosophy Zero Prime Ventures is a specialized early-stage venture capital fund focused on backing deeply technical engineer-founders building the infrastructure, platforms, and applications powering the AI and data revolution. The fund operates under a "Day Zero" investment philosophy, supporting pre-incorporation startups founded by exceptional technical minds before they've necessarily proven business acumen. Founded in 2020 (rebranded as Zero Prime Ventures in 2023, previously Data Community Fund), the firm is built alongside the Data Council conference series, creating a unique network-based approach to venture capital. This positioning gives Zero Prime access to a global community of deeply technical professionals in data and AI, providing portfolio companies with both capital and valuable technical expertise. Sector and Technology Focus Zero Prime invests across several complementary technology sectors: Data Infrastructure & Platforms: Data pipelines and streaming (Decodable) Data governance and management (Acryl Data, Datahub) Data quality and observability (Anomalo) Analytics platforms (Dagster, Hightouch, Hex) Database technologies (Qontext, Emdash) AI/ML Infrastructure & Applications: AI inference and model serving (Modal - unicorn, Series B) AI monitoring and observability (HoneyHive) AI-powered applications (Higgsfield AI, Runware) LLM tooling and infrastructure Developer Tools & Cloud Infrastructure: Developer-focused applications (Agno) DevOps and cloud infrastructure Cloud-native technologies Blockchain and Web3 infrastructure Investment Stage & Check Size Zero Prime is a pre-seed/seed focused fund with significant follow-on capacity: Stage Preferences: Primary : Pre-Seed and Seed rounds Secondary : Series A with strong products and early product-market fit signals Tertiary : Selective Series B follow-ons for exceptional portfolio companies Check Size: Preferred check size : $1M for Seed rounds Seed stage : $1M-$9.36M average Series A : $8M-$24.1M average Series B : $25M-$41.6M average (follow-on participation) The fund writes first checks and typically leads rounds in the pre-seed/seed stages. Fund Status & Deployment Fund II Details: Closed: $48M in March 2024 Status: Actively deploying Investment pace: ~5 investments annually Current portfolio size: 50 companies Portfolio composition: 49 unique companies with 2 unicorns Recent Investment Activity 2025-2026 Investments: February 2026 : Qontext (Database Software) - Seed 2025 : 5 total investments across Seed, Series A, and Series B stages Notable recent : Continued focus on AI infrastructure and data platforms Portfolio Outcomes (All-time): 2 Unicorns : Modal (AI infrastructure, 2025), Hightouch (Data analytics) 1 IPO : (Undisclosed in search results) 5 Acquisitions : Including ServiceNow, Cloudera acquisitions Portfolio Highlights Unicorn-Track Companies: Modal : AI infrastructure for model serving and deployment (Series B, New York). Became unicorn in 2025. Hightouch : Reverse ETL and customer data platform (Series C, San Francisco). Already achieved unicorn status. Notable Active Portfolio: Dagster : Data orchestration and asset definition (Series C, San Francisco) Datahub : Data governance platform (Series B, Palo Alto) HoneyHive : AI monitoring and observability for LLM applications Acryl Data : Data governance with DataHub Decodable : Stream processing and real-time data pipelines Anomalo : Data quality and anomaly detection Hex : Collaborative data workspace for analytics Motherduck : DuckDB-powered analytics Runware : AI/ML infrastructure Higgsfield AI : Application-layer AI (Series A) Agno : Developer tools (Seed) Emdash : Database software CodeSpeak : Software development tools Team Structure & Decision Making Leadership Team: Pete Soderling : General Partner and Founder. Serial founder and software engineer with 20+ years experience. Founder of Data Council. Invested in 70+ data startups. Yang Tran : Partner. Joined from Speedinvest where he was a Principal. Focuses on AI/ML, DevTools, data and cloud infrastructure. Diana Rhie : Head of Operations. 10+ years experience scaling operations across VC and high-growth startups. Additional team members : 3 additional principals (total team of 6 across US, UK, and other locations) Decision Process: Partnership-based decision making (Pete and Yang collaborate on investments) Technical due diligence emphasis given founder backgrounds Board participation and operational support for portfolio companies Built-in advisor network through Data Council community Decision Timeline: Quick decision-making (typical for pre-seed/seed) Often lead investor, reducing committee approval friction Estimated 2-4 week decision timeline for strong founder-investor fit Investment Approach & Founder Preferences Who They Back: Deeply technical founder teams with strong computer science fundamentals Pre-incorporation founders with exceptional technical track records Founders from hyperscaler backgrounds (Google, AWS, Meta, etc.) Engineers with previously shipped products or infrastructure experience Teams solving immediate pain points in data/AI infrastructure Who They Don't Back: Teams lacking technical depth or founder coding ability Consumer applications and games (focus is B2B infrastructure) Mature Stage companies (beyond Series B) Founder Support Model: Capital provision for pre-incorporation teams Access to Data Council advisor network Technical expertise from Pete Soderling and team Board positions and operational guidance Customer introductions within the data/AI ecosystem Geographic Focus Primary Markets: San Francisco Bay Area : Headquarters, dense portfolio concentration New York : Secondary hub (Modal, Agno in portfolio) California : Palo Alto (Datahub), broader state ecosystem International Presence: United Kingdom : Team members based there Europe : Selective investments (limited current evidence) Global reach : Data Council conference series reaches globally Philosophy: US-focused with emphasis on major tech hubs (SF, NYC) and selective international opportunities through Data Council network. Co-Investors & Partnership Approach Zero Prime frequently co-invests and leads rounds with other premier seed-stage VCs. Their positioning as the "first check" firm and lead investor suggests strong syndication relationships. Warm Introduction Preference Likely Status: Warm introductions strongly preferred Dense network through Data Council Pre-seed stage requires founder trust Lead investor positioning suggests more approachable to network referrals Pete Soderling's 70+ investments suggest strong relationship-driven approach Competitive Landscape & Positioning Zero Prime operates in the highly competitive pre-seed/seed AI infrastructure space, competing with: Andreessen Horowitz (a16z) Sequoia Capital Initialized Capital Naval Ravikant's syndicates Other data infrastructure focused VCs Distinctive advantages: Data Council network and community integration 20+ years of data infrastructure domain expertise (Pete) First-check positioning and pre-incorporation support Technical founder background enabling better technical diligence Fund Trajectory & Future Growth Indicators: Successful unicorn track record (2 unicorns from 50 companies = 4% unicorn rate, above average) Fund II raised successfully ($48M, suggesting Fund I success) Expanding team (6 members, grew from smaller fund) Continued active deployment in 2025-2026 Strong co-investor relationships Future Outlook: Likely to raise Fund III as Fund II completes deployment (2026-2027 timeframe) Continued focus on AI/ML and data infrastructure given mega-trends Potential for larger check sizes in Fund III Growing advisor network through Data Council expansion Thesis Strength & Alignment Zero Prime's thesis of backing deeply technical engineer-founders in data and AI infrastructure is exceptionally well-validated: Portfolio unicorns (Modal, Hightouch) perfectly align with thesis All portfolio companies operate in focused sectors (data, AI, DevTools, infrastructure) Founder track record (Pete: 70+ investments, 2 unicorns from 50) validates selection Market timing excellent (AI/data infrastructure secular tailwinds) Team technical depth ensures quality diligence The fund represents a natural evolution of Pete Soderling's 20-year commitment to the data infrastructure ecosystem through his founder experience and Data Council community building.

Add Zero Prime Ventures to your investor list

Sign up free to save investors, see partner contacts, and track your raise.

Sign up