Jeff Hammerbacher
Angel Investor
Jeff Hammerbacher is a seed investor focused on Artificial Intelligence and Software. Jeff Hammerbacher - Partner & Co-Founder @ Techammer
- Total investments:
- 33
- Last investment:
- Lead investor:
- 0%
Last updated:
For AI agents: llms.txt
Industries Jeff Hammerbacher invests in
Stages Jeff Hammerbacher invests in
Countries Jeff Hammerbacher invests in
Round sizes
Contacts
| Type | Contact | Validation |
|---|---|---|
| Work email | ||
| Personal email | ||
| Work phone | ||
| Personal phone | ||
| Socials |
Round size
- Seed
- $1M–$20M
- Angel
- $330k–$330k
- Series A
- $3M–$25M
Investment Focus
Industry
- Artificial Intelligence 11 (33%)
- Software 10 (30%)
- Biotechnology 7 (21%)
- Analytics 5 (15%)
- Data Visualization 4 (12%)
Stage
- Seed 17 (52%)
- Series A 6 (18%)
- Angel 3 (9%)
- Series B 3 (9%)
- Pre-Seed 2 (6%)
Country
- United States 28 (85%)
- Germany 2 (6%)
Investments
| Company | Description | Round | Links |
|---|---|---|---|
| Ridge AI develops data infrastructure and artificial intelligence solutions that support data processing, analysis, and model deployment. The company provides tools for managing data pipelines, integrating machine learning models, and enabling scalable analytics workflows. Its platform is designed to help organizations organize, transform, andutilize data across different systems.The organization combines software engineering and data science to support use cases such as predictive analytics, automation, and operational insights. It also offers interfaces and integrations that allow teams to build, test, and deploy AI models within existing environments. Ridge AI works with clients to streamline data operations and improve the use of machine learning in business processes. | $2.6M / Pre-Seed / Apr 06, 2026 | ||
| UMH is the Open-Source IIoT company. We create the place to be for Industrial IoT engineers by empowering them to scale their industrial IoT infrastructure. We do this by providing our management SaaS, our Open-Source IaaC and our active and fast growing community. | $5.8M / Seed / Jan 08, 2026 | ||
| Lamin Labs provides data infrastructure for biology that enables data scientists and engineers to collaborate on a single data layer for R&D teams of any size. They want to achieve for R&D data what git and GitHub did for code by integrating wet and dry laboratories, people and AI, knowledge and data, and siloed teams and organizations.Lamin Labs is headquartered in Munich, Bayern and was founded in 2022. | Seed / May 10, 2025 | ||
| Inductive Bio provides the information, machine learning, tools, and know-how required to resolve ADMET issues. | $25M / Series A / May 07, 2025 | ||
| 257 is a residential energy data platform.We build digital energy twins for every home in the US, and then enable use of these twins through analytics tools, APIs and marketing tools.Data will have a transformative impact on the electrification and operation of our ever-smarter homes. We equip partners in the solar, HVAC, retail electric, andutility sectors with the data they need to engage homeowners and accelerate electrification.257 was founded by Scott Rosenberg and Tal Chalozin, successful entrepreneurs with decades of experience in platform businesses, consumer marketing, and large-scale data sets.We are backed by awesome advisors, angels and VCs, and powered by a growing team of data and energy nerds.We’re also hiring. Hit us up! | $9.2M / Seed / Mar 18, 2025 | ||
| AI research assistant for biology. | $1M / Pre-Seed / Oct 28, 2024 | ||
| All Hands AI operates as an open source agent for developers. | $5M / Seed / Sep 05, 2024 | ||
| Modal develops machine learning software to help run code in the cloud. The software enables users to run or deploy machine learning models, massively parallel compute jobs, task queues, web apps, and more. It also writes the code to launch hundreds of custom containers and runs scripts in the cloud faster than on the local machine. | $16.5M / Series A / Oct 10, 2023 | ||
| SaaS | $28.5M / Seed / May 30, 2023 | ||
| Together AI provides a cloud platform for developing, training, fine-tuning, and deploying generative artificial intelligence models using open-source technologies. Its services include serverless and dedicated model inference, GPU compute infrastructure, managed storage, code sandboxes, and model customization tools that support AI applicationdevelopment and production workloads. The platform also offers APIs and deployment options that enable developers and organizations to build, run, and manage language, image, audio, vision, and code models without maintaining underlying infrastructure. | $20M / Seed / May 15, 2023 | ||
| See all 33 investments → | |||
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FAQ
What does Jeff Hammerbacher invest in?
Jeff Hammerbacher invests primarily in Artificial Intelligence, Software and Biotechnology startups, most often at Seed and Series A stage. Most of the 33 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 Jeff Hammerbacher's check size?
Jeff Hammerbacher typically joins rounds of $1M–$20M at Seed, $330k–$330k at Angel and $3M–$25M 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 Jeff Hammerbacher participates in.
How do I contact Jeff Hammerbacher?
Public channels for Jeff Hammerbacher 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 Jeff Hammerbacher last invest?
The most recent investment recorded for Jeff Hammerbacher closed in Apr 2026. Shizune tracks 33 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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