Pete Soderling
General Partner @ Zero Prime Ventures
San Francisco, United States
Pete Soderling is a seed investor at Zero Prime Ventures in San Francisco focused on Software and Machine Learning. Pete Soderling is the founder of Data Council and Zero Prime Ventures. Pete Soderling attended New York University.
- Total investments:
- 13
- Last investment:
- Lead investor:
- 0%
Last updated:
For AI agents: llms.txt
Industries Pete Soderling invests in
Stages Pete Soderling invests in
Countries Pete Soderling invests in
Contacts
| Type | Contact | Validation |
|---|---|---|
| Work email | ||
| Personal email | ||
| Work phone | ||
| Personal phone | ||
| Socials |
Investment Focus
Industry
- Software 7 (54%)
- Machine Learning 4 (31%)
- Artificial Intelligence 4 (31%)
- Information Technology 3 (23%)
- Analytics 2 (15%)
Stage
- Seed 7 (54%)
- Series A 2 (15%)
- Pre-Seed 1 (8%)
- Series B 1 (8%)
Country
- United States 8 (62%)
- The Netherlands 1 (8%)
Investments
| Company | Description | Round | Links |
|---|---|---|---|
| LanceDB is a serverless vector database for AI applications that is user-friendly for developers. The company was founded in 2022 and headquartered in San Francisco, California. | $30M / Series A / Jun 24, 2025 | ||
| Base64.ai is a document processing automation startup from New York. Our AI extracts the document type, data, text, photos, and signatures from all kinds of documents via over 700 prebuilt models for IDs, driver licenses, passports, visas, invoices, and forms. It can even process document types it has never seen before. The service may run in thecloud and air-gapped (offline) data centers. The integration is via no-code forms, a single API call, or third parties such as our UiPath activity and takes only a few minutes. | $3M / Seed / Jul 01, 2024 | ||
| Abbey is a platform for security teams to automate and secure access to sensitive data. With Abbey, you can improve your security and compliance programs by automatically controlling and right-sizing permissions so the risks around unauthorized access is limited in the event of a breach. | $5.3M / Seed / Aug 01, 2023 | ||
| Yakoa is a NFT Fraud Detection Network. | $4.8M / Seed / Nov 15, 2022 | ||
| TruEra is a leader in software solutions that test, analyze, and monitor machine learning. TruEra's AI quality management software solutions quickly improve model quality and build trust, and have become an essential part of the ML workflow and tech stack. The platform is trusted by data science, ML engineering, and MLOps leaders and isdelivering value to leading companies in banking, insurance, tech, and publishing, as well as other companies in the Fortune 100. | $25M / Series B / Mar 16, 2022 | ||
| Tabula is an AI-powered no-code platform that transforms complex data tasks into simple, intuitive processes. Empowering business and data teams, it allows real-time exploration, analysis, and reporting of data without any need for developer resources. | $2.5M / Pre-Seed / Mar 01, 2022 | ||
| Base64.ai is a document processing automation startup from New York. Our AI extracts the document type, data, text, photos, and signatures from all kinds of documents via over 700 prebuilt models for IDs, driver licenses, passports, visas, invoices, and forms. It can even process document types it has never seen before. The service may run in thecloud and air-gapped (offline) data centers. The integration is via no-code forms, a single API call, or third parties such as our UiPath activity and takes only a few minutes. | $1.5M / Seed / Feb 25, 2022 | ||
| Orchest is an open source, cloud native, development environment built for data science. | $3.5M / Seed / Oct 01, 2021 | ||
| DataDistillr is an enterprise platform that enables data scientists to get value from the data. The company's powerful tool for security professionals because it can detect security threats at an early stage. Stop threats from infiltrating the systems, compromising valuable assets, or jeopardizing the organization. Its tool has powerfulcleanup capabilities. Enhance MAC addresses, port numbers, IP addresses, user agent strings, and other information. DataDistillr charts, dashboards, and graphs that are simple to set up provide visual insights into the cyber data. | $5M / Seed / Apr 15, 2021 | ||
| Decodable is a serverless data integration and engineering platform for streaming data. The company was founded in 2021 by Eric Sammer and is headquartered in San Francisco, California, United States. | $5.5M / Seed / Mar 02, 2021 | ||
| See all 13 investments → | |||
Co-Investors
About Zero Prime Ventures
Pre-seed/seed fund writing first checks into engineer-led enterprise startups focused on data technologies (AI/ML/deep learning/data infra)
Zero Prime Ventures Contacts
| Name | Phone | Socials | |
|---|---|---|---|
|
Pete Soderling
General Partner
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Yang Tran
Partner
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FAQ
What does Pete Soderling invest in?
Pete Soderling invests primarily in Software, Machine Learning and Artificial Intelligence startups, most often at Seed and Series A stage. Most of the 13 investments tracked by Shizune back companies in United States. The Investment Focus section breaks down every industry, stage and country in the portfolio.
How do I contact Pete Soderling?
Public channels for Pete Soderling include LinkedIn and X (Twitter). For a verified work email and phone number, create a free Shizune account — contact data is searched across 20+ sources and validated before delivery, so your outreach lands in the right inbox.
When did Pete Soderling last invest?
The most recent investment recorded for Pete Soderling closed in Jun 2025. Shizune tracks 13 investments in total for this profile, including round sizes, stages and portfolio companies, all sourced from confirmed public funding rounds and refreshed monthly.
Is Shizune's investor data accurate?
Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Oct 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.
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