# Dan Weirich

> Dan Weirich is a seed investor at Carbide Ventures backing Artificial Intelligence and SaaS. See 4 investments, check sizes, portfolio. Updated Aug 2026.

- Type: Angel Investor
- Fund: [Carbide Ventures](https://shizune.co/investors/profile/carbide-ventures)
- Location: San Francisco Bay Area, United States
- Total investments: 4
- Last investment: Mar 2026
- Lead investor: 75%
- Last updated: Aug 2026
- LinkedIn: http://www.linkedin.com/in/danweirich
- X (Twitter): http://twitter.com/danweirich
- Website: https://x.com/danweirich

Dan Weirich is a seed investor at Carbide Ventures in San Francisco Bay Area focused on Artificial Intelligence and SaaS. Dan Weirich is the Chief Financial Officer of Treasure Data, Inc. Prior to Treasure Data, Weirich served as President and Chief Financial Officer of 8x8, Inc. (Nasdaq: EGHT). Prior to joining 8x8, Weirich served as a business development, finance and operations consultant in the United States and Asia, managing acquisition and restructuringinitiatives for a number of IT and telecommunications firms; Vice President of Business Development and Vice President of Sales, Asia at iAsiaWorks, Inc.; and Manager in the Business Markets Group at Qwest Communications International, Inc. and as a Financial Analyst for Phoenix Networks, Inc. (acquired by Qwest Communications).

## Investment focus

### Industry

| Industry | Investments | Share |
| --- | --- | --- |
| Artificial Intelligence | 3 | 75% |
| SaaS | 2 | 50% |
| Machine Learning | 2 | 50% |
| Big Data | 1 | 25% |
| Internet | 1 | 25% |

13 industries tracked in total.

### Stage

| Stage | Investments | Share |
| --- | --- | --- |
| Seed | 1 | 25% |
| Series A | 1 | 25% |
| Convertible Note | 1 | 25% |
| Venture - Series Unknown | 1 | 25% |

### Country

| Country | Investments | Share |
| --- | --- | --- |
| Canada | 1 | 25% |
| Germany | 1 | 25% |
| Tajikistan | 1 | 25% |

## Investments

| Company | Description | Amount | Stage | Date | Website |
| --- | --- | --- | --- | --- | --- |
| zypl.ai | zypl.ai applies 'no data' AI at scale to advance financial inclusion in emerging and frontier markets. Our SaaS solution enables banks and microfinance organizations to instantly and accurate underwrite loans, both offline and digitally, to consumers with limited or no credit history.zypl's proprietary approach includes training AImodels on synthetically generated data with simulation of 'black swan' conditions, providing stable and adaptable SaaS in spite of macro volatility in developing markets. Apart from analyzing traditional variables such as social, demographic, and professional background of clients, our SaaS reviews device metadata, psychometrics, web trace, and macroeconomic factors to arrive at credit decisions.In the process, we fully customize AI models to risk appetite of each individual enterprise partner with the goal of reflecting their competitive market advantages. Additionally, we offer complete flexibility on mode of integration through either cloud or on-premise deployment based on enterprise preference. We only deploy explainable AI models with embedded 'weight-of-evidence' interpretation of each decision made by the software, complying with emerging regulatory requirements on credit scoring.Having launched our beta last year, we have scaled presence to 10 enterprise clients in 4 markets across Central Asia. In this time, we have underwritten >$9 million in consumer and small business (services, trade, agriculture) loans to over 12 thousand consumers with staggeringly low 0.7% portfolio-at-risk rate. Since booking first revenue earlier this year, we have surpassed 25% compounded monthly growth rate and reached financial break-even this month.As a complement to credit scoring, our product team has ventured into churn prediction in telecom sector through partnerships with 3 leading telcos in Central Asia. Our rapid product iteration and development is a result of an AI Academy that we have launched to nurture talent internally.zypl.ai was ideated at Stanford University's Startup Garage and recently completed the Silkway Accelerator by Google for Startups and Astana Hub. Our startup was launched with a grant from the Islamic Development Bank as part of the Transform Fund. With our pre-seed capital raise, we plan on globalizing our AI SaaS solution by expanding to new markets in MENA, Southeast Asia, and Eastern Europe. | $5.5M | Convertible Note | Mar 17, 2026 |  |
| Plaud | Plaud is building the world's most trusted AI work companion for professionals to elevate productivity and performance through note-taking solutions, loved by over 2 million users worldwide since 2023. With a mission to amplify human intelligence, Plaud is building the next-generation intelligence infrastructure and interfaces to capture,extract, and utilize what you say, hear, see, and think.Plaud Inc., is a Delaware-incorporated, San Francisco-based company pushing the boundary of human–AI intelligence through a hardware–software combination. With full GDPR, EN18031, SOC 2 and HIPAA compliance, Plaud is committed to the highest standards of data security and privacy protection.To learn more about Plaud, please visit https://www.plaud.ai. | $5M | Venture - Series Unknown | Sep 02, 2025 |  |
| Springdel | Springdel delivers advanced Android and IoT device management designed for frontline operations at scale. Its EdgeOps platform enables organizations to control and secure thousands of mission-critical devices in real time, even without constant network access. With features like system-level kiosk mode, offline geofencing, remote control, andmulti-tenancy, Springdel ensures stable and autonomous device performance. The company was founded by MDM experts to solve the challenges that traditional UEM solutions cannot handle at scale. | $5M | Series A | Jan 14, 2024 |  |
| Neocom | AI-Native Commerce Experience Platform One AI to make every shop experience truly 1-to-1. Neocom turns confusing shop experiences into truly personal journeys. Just like talking to an expert who knows exactly what you're looking for. | $4.5M | Seed | Sep 28, 2023 |  |

4 of 4 investments shown.

## Co-investors
- [Beyond Ventures](https://shizune.co/investors/profile/beyond-ventures) — VC Fund, 1 deal together
- [Sangha Capital](https://shizune.co/investors/profile/sangha-capital) — VC Fund, 1 deal together

## About Carbide Ventures

VC Fund

Carbide Ventures is a venture capital firm.

4 contacts available at Carbide Ventures.

| Name | Title | Profile |
| --- | --- | --- |
| Pankaj Tibrewal | General Partner | https://shizune.co/investors/profile/pankaj-tibrewal |
| Bill Tai | Special Limited Partner | https://shizune.co/investors/profile/bill-tai |
| Dan Weirich | General Partner | https://shizune.co/investors/profile/dan-weirich |
| Takuo Inoue | General Partner | https://shizune.co/investors/profile/takuo-inoue |

## Similar investors

### Similar stage
- [Antler](https://shizune.co/investors/profile/antler-be9c) — VC Fund
- [Alumni Ventures](https://shizune.co/investors/profile/alumni-ventures-group) — VC Fund
- [Right Side Capital Management](https://shizune.co/investors/profile/right-side-capital-management) — VC Fund

## FAQ

### What does Dan Weirich invest in?

Dan Weirich invests primarily in Artificial Intelligence, SaaS and Machine Learning startups, most often at Seed and Series A stage. Most of the 4 investments tracked by Shizune back companies in Canada. The Investment Focus section breaks down every industry, stage and country in the portfolio.

### When did Dan Weirich last invest?

The most recent investment recorded for Dan Weirich closed in Mar 2026. Shizune tracks 4 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 Aug 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.

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