Asha Jadeja
Angel Investor
San Francisco, United States
Asha Jadeja is a seed investor in San Francisco focused on Machine Learning and SaaS. Asha founded Dot Edu Ventures in March 2000 to fund innovative technologies emerging from top US universities. Among her many investments are Bytemobile, Kaltix (now Google), Jareva (now Veritas), and Mimosa Systems.Alongside her career in venture capital Asha founded and ran as CEO iScale Inc, a peered networking company for distributing largefile content across the internet using proprietary technology. Before iScale Asha was an angel investor and advisor in various silicon valley startups.Asha studied civil engineering for undergrad in India and transitioned into urban planning and policy studies for graduate studies at USC, UC Berkeley, and Stanford. She held several research and analyst positions at multinational agencies such as the United Nations' Transnationals Corporation and the World Bank while pursuing graduate studies. Her civil engineering and urban planning work included projects such as the Los Angeles Metro Rail.
- Total investments:
- 12
- Last investment:
- Lead investor:
- 8%
Last updated:
For AI agents: llms.txt
Industries Asha Jadeja invests in
Stages Asha Jadeja invests in
Countries Asha Jadeja invests in
Round sizes
Contacts
| Type | Contact | Validation |
|---|---|---|
| Work email | ||
| Personal email | ||
| Work phone | ||
| Personal phone | ||
| Socials |
Round size
- Seed
- $774k–$4.3M
Investment Focus
Industry
- Machine Learning 4 (33%)
- SaaS 3 (25%)
- Predictive Analytics 3 (25%)
- Artificial Intelligence 3 (25%)
- Solar 1 (8%)
Stage
- Seed 8 (67%)
- Angel 1 (8%)
- Series A 1 (8%)
- Funding Round 1 (8%)
- Convertible Note 1 (8%)
Country
- United States 7 (58%)
- India 2 (17%)
- Pakistan 1 (8%)
Investments
| Company | Description | Round | Links |
|---|---|---|---|
| Posha provides kitchen products for the commercial and residential sectors. Posha is a developer of smart kitchen appliances that can cook entire meals on their own. The company's appliances include a built-in camera for seeing food while it cooks and use artificial intelligence technology to process food with perfect heat management to avoidburning, allowing customers to live better lives by easily cooking fresh food every day. | $8M / Series A / May 06, 2025 | ||
| Key provides a unique method to making significant professional relationships while also promoting career advancement, financial well-being, and work-life balance | $4.3M / Seed / Mar 11, 2024 | ||
| We believe that making AI accessible represents our greatest opportunity to empower the lives of everyday business users. That's why we have built a tool that enables non-technical business users to rapidly run predictions on their historical data, with just a few clicks. Allowing them to make better business decisions, fast. We are ObviouslyAI, a no-code AI startup based in San Francisco, CA. | $4.1M / Seed / Nov 01, 2023 | ||
| At Zams, our vision is to turn every company into an AI company. We do it by combining the power of No-Code AI and human guided data prep to enable businesses to build custom and accurate AI and LLM models in a matter of days. | $4.1M / Seed / Nov 01, 2023 | ||
| Posha provides kitchen products for the commercial and residential sectors. Posha is a developer of smart kitchen appliances that can cook entire meals on their own. The company's appliances include a built-in camera for seeing food while it cooks and use artificial intelligence technology to process food with perfect heat management to avoidburning, allowing customers to live better lives by easily cooking fresh food every day. | $774K / Seed / Feb 25, 2019 | ||
| ScoreData helps businesses leverage their data to dramatically improve the quality of their engagement with their customers. ScoreData's ScoreFast™platform allows business managers and data scientists to work together to deploy the most robust predictive applications. The applications have a unique self-learning capability, which obviatesthe need to rebuild the predictive applications as new data becomes available. Not only do the predictive applications learn over time, but they are also shown to be robust, and thus you have the lowest cost of ownership for predictive applications in the industry. Applications built with ScoreFast can be deployed across multiple touch-points such as in-store, mobile, web, kiosk, chatbots, or cloud-contact centers. ScoreData solutions have been used by some of the largest companies in the world. | Seed / Oct 05, 2017 | ||
| Our world-class team of scientist, engineers, thought leaders and communicators are committed to tackling the world's most pressing social and environmental challenges with game-changing technology. We envision a world free from the usage of fossil fuels and are working to replace them by reaching out to each and every part on the planet andto provide them affordable and sustainable electricity for generations to come.We have made a breakthrough by inventing the Freejulator which is capable of beating Fossil fuels, solar cells and a lot of other existing tech. The company is developing products in a lot of other domains as well to provide affordable and sustainable solutions. | Seed / May 12, 2017 | ||
| Wrapkar is a crowd-sourced on-vehicle advertising platform that connects brands to drivers creating high-impression, low-cost and trackable marketing solution. They wrap vehicles with high quality removable decals and use geo-location technology to track the location and mileage of the vehicle. Drivers get paid for what they already do, driving! | Convertible Note / Apr 10, 2017 | ||
| Anyone can build agentic workflows, but AI agents are black boxes that struggle with complex files and processes, like POs, invoices, BoLs and clinical documents. Nanonets agents understand key details in files, work through complex processes and act with transparency, making them the most reliable foundation for building workflows where detailsmatter.Nanonets reduces processing time by 95% by automating messy manual processes and delivering clean data to systems of record like SAP, SFDC and more. That’s why Nanonets is the automation layer global enterprises reach for when accuracy is non-negotiable. | $1.4M / Seed / Apr 01, 2017 | ||
| Ridelogic is a performance monitoring device for motorcycles. Ridelogic is a smart connectivity on motorcycles to diagnose real-time vehicle performance and provide assistance for safe and smart riding. | Seed / Feb 03, 2016 | ||
| See all 12 investments → | |||
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FAQ
What does Asha Jadeja invest in?
Asha Jadeja invests primarily in Machine Learning, SaaS and Predictive Analytics startups, most often at Seed and Angel stage. Most of the 12 investments tracked by Shizune back companies in United States. The Investment Focus section breaks down every industry, stage and country in the portfolio.
What round sizes does Asha Jadeja invest in?
Asha Jadeja typically joins rounds of $774k–$4.3M at Seed. These are whole funding-round sizes, not Asha Jadeja's own check, which is rarely disclosed: the 10th–90th percentile of the confirmed public funding rounds Asha Jadeja took part in.
How do I contact Asha Jadeja?
Public channels for Asha Jadeja 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 Asha Jadeja last invest?
The most recent investment recorded for Asha Jadeja closed in May 2025. Shizune tracks 12 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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