Liad Rubin
General Partner @ Emerge Ventures
Tel Aviv, Israel
Liad Rubin is a seed investor at Emerge Ventures in Tel Aviv focused on Video and EdTech. Liad Rubin currently works as a Partner for Emerge. He previously worked at Kaedan Capital as an Investment Director. Liad Rubin attended IE Business School.
- Total investments:
- 10
- Last investment:
- Lead investor:
- 30%
Last updated:
For AI agents: llms.txt
Industries Liad Rubin invests in
Stages Liad Rubin invests in
Countries Liad Rubin invests in
Contacts
| Type | Contact | Validation |
|---|---|---|
| Work email | ||
| Personal email | ||
| Work phone | ||
| Personal phone | ||
| Socials |
Investment Focus
Industry
- Video 1 (10%)
- EdTech 1 (10%)
- Software 1 (10%)
- Agentic AI 1 (10%)
- E-Learning 1 (10%)
Stage
- Seed 3 (30%)
- Series A 3 (30%)
- Series B 2 (20%)
- Pre-Seed 1 (10%)
Country
- Israel 2 (20%)
- United States 1 (10%)
Investments
| Company | Description | Round | Links |
|---|---|---|---|
| Chamelio is a legal firm that offers contract review, contract negotiations, legal workflow, and contract management services. | $26M / Series A / Sep 22, 2026 | ||
| Loora is an e-learning app that allows its users to learn and speak English based on their convenient timings. | $22M / Series B / Sep 16, 2026 | ||
| Chamelio is a legal firm that offers contract review, contract negotiations, legal workflow, and contract management services. | $10M / Seed / Jan 27, 2026 | ||
| Loora is an e-learning app that allows its users to learn and speak English based on their convenient timings. | $12M / Series A / Feb 21, 2024 | ||
| Loora is an e-learning app that allows its users to learn and speak English based on their convenient timings. | $9.3M / Seed / Jun 27, 2023 | ||
| Deci enables deep learning to live up to its true potential by using AI to build better AI. With the company’s end-to-end deep learning acceleration platform, AI developers can build, optimize, and deploy faster and more accurate models for any environment, including cloud, edge or mobile. With Deci’s platform, developers can increase deeplearning model inference performance by 3x-15x, on any hardware, while still preserving accuracy. This translates directly into new use cases on limited hardware, substantially shorter development cycles, and reduced compute costs by up to 80%. The platform is powered by Deci’s Automated Neural Architecture Construction (AutoNAC) technology, an algorithmic optimization engine that squeezes maximum utilization out of any hardware. The AutoNAC engine contains a Neural Architecture Search (NAS) component that redesigns a given trained model’s architecture to optimally improve its inference performance (throughput, latency, memory, etc.) for specific target hardware while preserving its baseline accuracy. Deci achieved a record-breaking 11.8x accelerated inference speedup on Intel CPUs at MLPerf Industry Benchmark and has been named to the CBInsights top 100 AI companies. Led by a team of world-class deep learning experts, Deci lets AI developers focus on what they do best - creating innovative AI-based solutions for our world’s most complex problems. | $25M / Series B / Jul 13, 2022 | ||
| Deci enables deep learning to live up to its true potential by using AI to build better AI. With the company’s end-to-end deep learning acceleration platform, AI developers can build, optimize, and deploy faster and more accurate models for any environment, including cloud, edge or mobile. With Deci’s platform, developers can increase deeplearning model inference performance by 3x-15x, on any hardware, while still preserving accuracy. This translates directly into new use cases on limited hardware, substantially shorter development cycles, and reduced compute costs by up to 80%. The platform is powered by Deci’s Automated Neural Architecture Construction (AutoNAC) technology, an algorithmic optimization engine that squeezes maximum utilization out of any hardware. The AutoNAC engine contains a Neural Architecture Search (NAS) component that redesigns a given trained model’s architecture to optimally improve its inference performance (throughput, latency, memory, etc.) for specific target hardware while preserving its baseline accuracy. Deci achieved a record-breaking 11.8x accelerated inference speedup on Intel CPUs at MLPerf Industry Benchmark and has been named to the CBInsights top 100 AI companies. Led by a team of world-class deep learning experts, Deci lets AI developers focus on what they do best - creating innovative AI-based solutions for our world’s most complex problems. | Pre-Seed / Jul 13, 2022 | ||
| Deci enables deep learning to live up to its true potential by using AI to build better AI. With the company’s end-to-end deep learning acceleration platform, AI developers can build, optimize, and deploy faster and more accurate models for any environment, including cloud, edge or mobile. With Deci’s platform, developers can increase deeplearning model inference performance by 3x-15x, on any hardware, while still preserving accuracy. This translates directly into new use cases on limited hardware, substantially shorter development cycles, and reduced compute costs by up to 80%. The platform is powered by Deci’s Automated Neural Architecture Construction (AutoNAC) technology, an algorithmic optimization engine that squeezes maximum utilization out of any hardware. The AutoNAC engine contains a Neural Architecture Search (NAS) component that redesigns a given trained model’s architecture to optimally improve its inference performance (throughput, latency, memory, etc.) for specific target hardware while preserving its baseline accuracy. Deci achieved a record-breaking 11.8x accelerated inference speedup on Intel CPUs at MLPerf Industry Benchmark and has been named to the CBInsights top 100 AI companies. Led by a team of world-class deep learning experts, Deci lets AI developers focus on what they do best - creating innovative AI-based solutions for our world’s most complex problems. | $21M / Series A / Oct 20, 2021 | ||
| Deci enables deep learning to live up to its true potential by using AI to build better AI. With the company’s end-to-end deep learning acceleration platform, AI developers can build, optimize, and deploy faster and more accurate models for any environment, including cloud, edge or mobile. With Deci’s platform, developers can increase deeplearning model inference performance by 3x-15x, on any hardware, while still preserving accuracy. This translates directly into new use cases on limited hardware, substantially shorter development cycles, and reduced compute costs by up to 80%. The platform is powered by Deci’s Automated Neural Architecture Construction (AutoNAC) technology, an algorithmic optimization engine that squeezes maximum utilization out of any hardware. The AutoNAC engine contains a Neural Architecture Search (NAS) component that redesigns a given trained model’s architecture to optimally improve its inference performance (throughput, latency, memory, etc.) for specific target hardware while preserving its baseline accuracy. Deci achieved a record-breaking 11.8x accelerated inference speedup on Intel CPUs at MLPerf Industry Benchmark and has been named to the CBInsights top 100 AI companies. Led by a team of world-class deep learning experts, Deci lets AI developers focus on what they do best - creating innovative AI-based solutions for our world’s most complex problems. | $9.1M / Seed / Oct 27, 2020 | ||
| See all 10 investments → | |||
Co-Investors
About Emerge Ventures
Emerge is an early stage, Tel-Aviv based Venture Capital firm, partnering with exceptional tech-innovators and helping them do whatever it takes to win.
Emerge Ventures Contacts
| Name | Phone | Socials | |
|---|---|---|---|
Dovi Ollech
Founder and Managing Partner
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Liad Rubin
General Partner
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Olga Kogan
Venture Partner
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FAQ
What does Liad Rubin invest in?
Liad Rubin invests primarily in Video, EdTech and Software startups, most often at Seed and Series A stage. Most of the 10 investments tracked by Shizune back companies in Israel. The Investment Focus section breaks down every industry, stage and country in the portfolio.
How do I contact Liad Rubin?
Public channels for Liad Rubin include LinkedIn, X (Twitter) and Facebook. 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 Liad Rubin last invest?
The most recent investment recorded for Liad Rubin closed in Sep 2026. Shizune tracks 10 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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