Jeff Herbst
Managing Partner @ GFT Ventures
San Francisco Bay Area, United States
Jeff Herbst is a Series A investor at GFT Ventures in San Francisco Bay Area focused on Artificial Intelligence and Software. Jeff Herbst, Founding Managing Partner at GFT Ventures
- Total investments:
- 9
- Last investment:
- Lead investor:
- 67%
Last updated:
For AI agents: llms.txt
Industries Jeff Herbst invests in
Stages Jeff Herbst invests in
Countries Jeff Herbst invests in
Contacts
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Investment Focus
Industry
- Artificial Intelligence 5 (56%)
- Software 2 (22%)
- Market Research 2 (22%)
- Machine Learning 2 (22%)
- Consumer Research 2 (22%)
Stage
- Series A 5 (56%)
- Seed 2 (22%)
- Series B 1 (11%)
Investments
| Company | Description | Round | Links |
|---|---|---|---|
Higgsfield
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Higgsfield is a video AI firm aimed to making social media content creation accessible to everyone. | $80M / Series A / Jan 15, 2026 | |
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Higgsfield
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Higgsfield is a video AI firm aimed to making social media content creation accessible to everyone. | $50M / Series A / Sep 09, 2025 | |
Knit
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Based in Austin, Texas, Knit is the platform helping brands make customer-centric decisions through agile video feedback. Powered by a one-of-a-kind network of over 60K collegiate Gen Z-ers who are motivated by social causes, Knit enables its customers to make better, customer-centric decisions through Voice of Consumer videos. | $16.1M / Series A / Jul 31, 2025 | |
Wethos AI
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Wethos harnesses is the power of AI to address real-world challenges, offering smart, data-driven solutions that boost efficiency, streamline operations, and uncover hidden potential, empowering businesses to excel in a rapidly evolving environment. | $7.5M / Seed / Aug 15, 2024 | |
Qortex
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Qortex is an intelligent video analytics company that helps brands distribute video content for the web, CTV, and in-game. The company's patent-pending, AI-enabled, multimodal sensory capabilities revolutionizes the use of IVA by making it possible for users to rapidly and accurately search, categorize, correlate, and curate video “moments” atscale – regardless of volume, time, language, or context. | $10M / Seed / Nov 20, 2023 | |
Switchboard Software
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Switchboard enables enterprises to be data-driven at scale. From the team that launched Google BigQuery, Switchboard’s data engineering automation platform turns disparate data into a single source of reliable, trustworthy information in real time. Market-leading companies such as Dotdash Meredith, Target, DISH, Orangetheory Fitness, The Atlantic,Financial Times, and Pearson get a strategic data asset for customer insights and revenue operations, while their technical teams retain control without the burden of day-to-day operations. | $7M / Series A / Jul 27, 2023 | |
Deepgram
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Deepgram helps enterprises unlock the potential of their audio data with custom-trained speech recognition for accuracy and scale. Deepgram's deep learning speech recognition system searches for keywords in transcripts by sound and text within audio and video files, used for transcribing calls, meetings, and voicemails for searchable notes,providing businesses with a fast, high accuracy speech-to-text on an easy-to-use API.The company was founded in 2015 and is headquartered in San Francisco, California. | $12M / Series A / Mar 18, 2020 | |
Deep Instinct
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Deep Instinct applies artificial intelligence’s deep learning to cybersecurity. Leveraging deep learning’s predictive capabilities, Deep Instinct’s on-device solution protects against zero-day threats and APT attacks with unmatched accuracy. Deep Instinct safeguards the enterprise’s endpoints and/or any mobile devices against any threat, onany infrastructure, whether or not connected to the network or to the Internet. By applying deep learning technology to cybersecurity, enterprises can now gain unmatched protection against unknown and evasive cyber-attacks from any source. Deep Instinct brings a completely new approach to cybersecurity enabling cyber-attacks to be identified and blocked in real-time before any harm can occur.Deep Instinct USA is headquartered in San Francisco, California and Deep Instinct Israel is headquartered in Tel Aviv, Israel. | $32M / Series B / Jun 12, 2018 | |
Knit
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Knit pairs forward-deployed researchers with autonomous research agents to deliver decision-ready insights faster and better than traditional agencies, unlocking entirely new ways for the world's most iconic enterprises to run research. | $16.1M / Series A |
Co-Investors
About GFT Ventures
GFT Ventures is an early-stage frontier technology-focused VC firm investing primarily in the US and Israel. We invest in category-leading startups developing disruptive technologies that solve the world's hardest problems. We add value to our portfolio companies by relying on our extensive experience, track record, and our globalrelationships with early adopter partners and customers.
GFT Ventures Contacts
| Name | Phone | Socials | |
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Jeff Herbst
Managing Partner
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Jay Eum
Co-Founder & Managing Partner
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Jeff Herbst
Managing Partner
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FAQ
What does Jeff Herbst invest in?
Jeff Herbst invests primarily in Artificial Intelligence, Software and Market Research startups, most often at Series A and Seed stage. Most of the 9 investments tracked by Shizune back companies in United States. The Investment Focus section breaks down every industry, stage and country in the portfolio.
How do I contact Jeff Herbst?
Public channels for Jeff Herbst 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 Jeff Herbst last invest?
The most recent investment recorded for Jeff Herbst closed in Jan 2026. Shizune tracks 9 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 Aug 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.
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