Ajay Shah
Angel Investor @ Silver Lake Sumeru
Menlo Park, United States
Ajay Shah is a seed investor at Silver Lake Sumeru in Menlo Park focused on Software and Machine Learning. Ajay Shah founded Shah Capital Partners in 2004 and joined the Silver Lake team in 2007 as the Managing Partner to found and develop the firm's middle market strategy, Silver Lake Sumeru. Prior to founding Shah Capital, Mr. Shah founded and managed the Technology Solutions Business of Solectron, a $2 billion business. Mr. Shah was the CEO of Smart Modular Technologies, a company that he co-founded in 1989 and led through its public offering in 1995. He managed its growth to over $1 billion in revenues and directed its acquisition by Solectron Corp. in 1999 for over $2 billion. Mr. Shah serves on the board of directors of Flextronics, TES, CMAC, Ingenient, Magellan, Mobile Messenger, AVI-SPL, Inc., Power-One, Inc., and is chairman of the board of SMART Modular. He is a senior fellow of the American Leadership Forum and also serves on the boards of Northern California Public Broadcasting and The Indian School of Business, India and is a Trustee of the American India Foundation. He has a B.S. in Engineering from University of Baroda and an M.S. in Engineering Management from Stanford University.
- Total investments:
- 5
- Last investment:
- Lead investor:
- 0%
Last updated:
For AI agents: llms.txt
Industries Ajay Shah invests in
Stages Ajay Shah invests in
Countries Ajay Shah invests in
Round sizes
Contacts
| Type | Contact | Validation |
|---|---|---|
| Work email | ||
| Personal email | ||
| Work phone | ||
| Personal phone | ||
| Socials |
Round size
- Seed
- $2M–$5.1M
Investment Focus
Industry
- Software 3 (60%)
- Machine Learning 3 (60%)
- Big Data 2 (40%)
- Embedded Systems 2 (40%)
- Information Technology 2 (40%)
Stage
- Seed 3 (60%)
- Series A 1 (20%)
- Post-IPO Equity 1 (20%)
Country
- United States 3 (60%)
- Canada 1 (20%)
- Israel 1 (20%)
Investments
| Company | Description | Round | Links |
|---|---|---|---|
| Next generation data toolchain for ML developers | $5.1M / Seed / Dec 20, 2021 | ||
| Deeplite creates intelligent optimization software for deep learning deployed on cloud servers and edge devices. Deeplite provides a platform that uses AI to automatically make other AI models smaller, faster, and more energy efficient creating compact, high-performance deep neural networks that can run at the “edge” in vehicles, cameras, sensors,phones; devices you use every day. A significant challenge with deep learning models is that they are too large to deploy on small hardware, too slow to process mission critical applications or compromise battery life. Deeplite solves this problem by using a fully automated, proprietary and patented AI engine to optimize DNN models so that they can be deployed to any hardware platform on any device. .Our technology leverages years of research and new developments in tinyML to produce fast, efficient and scalable deep learning solutions for challenging real-world environments. At Deeplite, we enable AI for everyday life. | $4M / Seed / Apr 13, 2021 | ||
| Kloudless abstracts away the differences between APIs without compromising functionality, creating a simple, unified interface for developers to build native integrations into their applications. Code once to our Unified APIs, and reuse that code for any service in that category. We support 100+ integrations across software categories like CloudStorage, CRM, Calendar, Email, Chat, Accounting, ERP, Messaging, ITSM, and more.Our platform technology can quickly ingest new APIs and add support for new integrations, which makes Kloudless a great long-term partner for satisfying future product requirements and customer requests. | $6M / Series A / Mar 27, 2018 | ||
| Crosswise provides the world’s most authoritative consumer device map to ad tech vendors, consumer brands and premium publishers. Combining data science, Big Data and machine learning, Crosswise identifies which PCs, phones, tablets, digital TVs and other connected devices are being used by individual consumers. When leveraged for cross-devicetargeted advertising, content personalization and analytics, this data represents a huge source of untapped business potential. | $2M / Seed / Jan 08, 2014 | ||
| Spansion is the largest company exclusively focused on Flash memory solutions. Flash memory can be found in nearly every electronic device- in cell phones, cars, printers, networking equipment, set-top boxes, high-definition TVs, games and other consumer electronics. As people continue to demand more multimedia content in their homes, at work andon the go, and as electronic products become increasingly complex, the amount of Flash memory in electronic devices will continue to grow. | Post-IPO Equity / May 11, 2010 |
Co-Investors
About Silver Lake Sumeru
Silver Lake Sumeru invests in middle market technology companies with established business models and attractive growth prospects.
Silver Lake Sumeru Contacts
| Name | Phone | Socials | |
|---|---|---|---|
Jason Babcoke
Principal
|
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FAQ
What does Ajay Shah invest in?
Ajay Shah invests primarily in Software, Machine Learning and Big Data startups, most often at Seed and Series A stage. Most of the 5 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 Ajay Shah invest in?
Ajay Shah typically joins rounds of $2M–$5.1M at Seed. These are whole funding-round sizes, not Ajay Shah's own check, which is rarely disclosed: the 10th–90th percentile of the confirmed public funding rounds Ajay Shah took part in.
How do I contact Ajay Shah?
Public channels for Ajay Shah include LinkedIn. 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 Ajay Shah last invest?
The most recent investment recorded for Ajay Shah closed in Dec 2021. Shizune tracks 5 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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