Georges Harik
Angel Investor
San Francisco Bay Area, United States
Georges Harik is a Series A investor in San Francisco Bay Area focused on Software and Artificial Intelligence. Georges Harik is the Co-Founder and Member of Technical Staff of humans&. He previously worked at Notbad AI as Chief Executive Officer. Georges attended the University of Michigan, where he earned a PhD in Computer Science.
- Total investments:
- 52
- Last investment:
- Lead investor:
- 10%
Last updated:
For AI agents: llms.txt
Industries Georges Harik invests in
Stages Georges Harik invests in
Countries Georges Harik invests in
Round sizes
Contacts
| Type | Contact | Validation |
|---|---|---|
| Work email | ||
| Personal email | ||
| Work phone | ||
| Personal phone | ||
| Socials |
Round size
- Seed
- $600k–$15M
- Angel
- $250k–$800k
- Series A
- $500k–$50M
Investment Focus
Industry
- Software 15 (29%)
- Artificial Intelligence 12 (23%)
- Machine Learning 7 (13%)
- Mobile 6 (12%)
- Video 5 (10%)
Stage
- Series A 17 (33%)
- Seed 14 (27%)
- Angel 10 (19%)
- Series B 5 (10%)
- Funding Round 2 (4%)
Country
- United States 39 (75%)
- United Kingdom 1 (2%)
Investments
| Company | Description | Round | Links |
|---|---|---|---|
| DeepInfra is an AI inference cloud platform that enables developers and organizations to run machine learning models at scale through a unified API. The platform supports a wide range of capabilities, including large language models, vision processing, embeddings, image and video generation, and speech applications, allowing users to integratemultiple AI functions into their systems. It provides an OpenAI-compatible interface, which allows existing applications to switch endpoints with minimal code changes while accessing a large catalog of open-source models. DeepInfra manages the underlying infrastructure, including GPU resources and scaling, so users can deploy and operate AI workloads without handling complex system setup. The service is designed to facilitate production-level AI deployment by offering automated scaling, model hosting, and tools for integrating and running inference workloads efficiently. | $107M / Series B / May 04, 2026 | ||
| humans& designs and trains AI systems that emphasize human understanding, long-term reasoning, memory, and multi-agent collaboration to support how people and organizations work together. humans& integrates scientific research with applied product development, combining advances in reinforcement learning, behavioral modeling, and alignmentwith practical user interfaces. The organization develops AI technologies intended to strengthen coordination, decision-making, and communication across teams and communities. | $480M / Seed / Jan 20, 2026 | ||
| DeepInfra is an AI inference cloud platform that enables developers and organizations to run machine learning models at scale through a unified API. The platform supports a wide range of capabilities, including large language models, vision processing, embeddings, image and video generation, and speech applications, allowing users to integratemultiple AI functions into their systems. It provides an OpenAI-compatible interface, which allows existing applications to switch endpoints with minimal code changes while accessing a large catalog of open-source models. DeepInfra manages the underlying infrastructure, including GPU resources and scaling, so users can deploy and operate AI workloads without handling complex system setup. The service is designed to facilitate production-level AI deployment by offering automated scaling, model hosting, and tools for integrating and running inference workloads efficiently. | $18M / Series A / Apr 22, 2025 | ||
| Lambda provides GPU-powered hardware, cloud, and software solutions tailored for AI model development, training, fine-tuning, inference, and deployment. Its offerings include on-demand GPU cloud instances and multi-node clusters, desktop and server workstations equipped with NVIDIA GPUs, a curated software stack for seamless integration of MLtools, and consulting services that help build scalable ML infrastructure and workflows. | $44M / Series B / Mar 21, 2023 | ||
| DeepInfra is an AI inference cloud platform that enables developers and organizations to run machine learning models at scale through a unified API. The platform supports a wide range of capabilities, including large language models, vision processing, embeddings, image and video generation, and speech applications, allowing users to integratemultiple AI functions into their systems. It provides an OpenAI-compatible interface, which allows existing applications to switch endpoints with minimal code changes while accessing a large catalog of open-source models. DeepInfra manages the underlying infrastructure, including GPU resources and scaling, so users can deploy and operate AI workloads without handling complex system setup. The service is designed to facilitate production-level AI deployment by offering automated scaling, model hosting, and tools for integrating and running inference workloads efficiently. | Pre-Seed / Sep 15, 2022 | ||
| Tenyx is a next generation of voice-based intelligent technologies using its patented AI technology. | $15M / Seed / May 10, 2022 | ||
| Lambda provides GPU-powered hardware, cloud, and software solutions tailored for AI model development, training, fine-tuning, inference, and deployment. Its offerings include on-demand GPU cloud instances and multi-node clusters, desktop and server workstations equipped with NVIDIA GPUs, a curated software stack for seamless integration of MLtools, and consulting services that help build scalable ML infrastructure and workflows. | $15M / Series A / Jul 14, 2021 | ||
| Nimble builds AI-powered robots that pick and pack anything to enable the fastest, most affordable, and most sustainable on-demand order fulfillment. | $50M / Series A / Mar 11, 2021 | ||
| Nimble Robotics specializes in AI-driven robots that automate the processes of picking and packing products, significantly enhancing efficiency in logistics. The company provides a complete eCommerce and omni-channel fulfillment service, allowing merchants to streamline their operations. | $50M / Series A / Mar 11, 2021 | ||
| Athelas develops technology to monitor chronically ill patients in their homes. The company has deployed an FDA-cleared blood diagnostic device along with an array of other sensors to manage Blood Pressure, Weight, Glucose, and Medication Adherence. | $15M / Series A / Feb 01, 2019 | ||
| See all 52 investments → | |||
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FAQ
What does Georges Harik invest in?
Georges Harik invests primarily in Software, Artificial Intelligence and Machine Learning startups, most often at Series A and Seed stage. Most of the 52 investments tracked by Shizune back companies in United States. The Investment Focus section breaks down every industry, stage and country in the portfolio.
What is Georges Harik's check size?
Georges Harik typically joins rounds of $600k–$15M at Seed, $250k–$800k at Angel and $500k–$50M at Series A. These ranges are 10th–90th percentile round sizes calculated from confirmed public funding rounds, so they are a realistic guide to the rounds Georges Harik participates in.
How do I contact Georges Harik?
Public channels for Georges Harik include LinkedIn, X (Twitter) and the website linked on this profile. 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 Georges Harik last invest?
The most recent investment recorded for Georges Harik closed in May 2026. Shizune tracks 52 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 Sep 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.
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