Rasmus Rothe
Founder @ Merantix Capital
Berlin, Germany
Rasmus Rothe is a seed investor at Merantix Capital in Berlin focused on Artificial Intelligence and Software. Rasmus is a founder of Merantix, a company in the space of Artificial Intelligence.He studied Engineering and Computer Science at Oxford, Princeton and ETH Zurich. In early 2016 as part of his PhD research he launched howhot.io, a website where people can upload a photo and an artificial intelligence predicts the age, gender and attractivenessof the person. The website attracted more than 1m unique visitors in the first 12 hours after launch and 100m+ uploads to date.Previously, he gained professional experience as a Visiting Associate at the Boston Consulting Group in Hamburg and as an Associate Product Manager Intern at Google in Mountain View. Furthermore, he worked as a summer researcher at the California Institute of Technology and the German Research Center for Artificial Intelligence. In 2014 he was the director and founder of HackZurich, which became the largest hackathon in Europe with more than 500 participants.He is interested in Machine Learning, in particular Deep Learning, entrepreneurship and innovation.
- Total investments:
- 4
- Last investment:
- Lead investor:
- 25%
Last updated:
For AI agents: llms.txt
Industries Rasmus Rothe invests in
Stages Rasmus Rothe invests in
Countries Rasmus Rothe invests in
Contacts
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Investment Focus
Industry
- Artificial Intelligence 3 (75%)
- Software 2 (50%)
- B2B 1 (25%)
- SaaS 1 (25%)
- Security 1 (25%)
Stage
- Seed 2 (50%)
- Pre-Seed 1 (25%)
- Series A 1 (25%)
Investments
| Company | Description | Round | Links |
|---|---|---|---|
Almetra
|
AI-based process analytics platform to increase productivity and quality in manual processes. Processes are captured using computer vision and automatically analysed with a highly flexible AI to identify improvement potential.1. Real-time capture with cameras Cameras are installed at individual assembly stations capturing live video streams ofassembly or packaging tasks.2. AI tracks material & work steps Video streams are continuously analyzed to detect workpiece movements, cycle times, and work step sequencing.3. Aggregation for data analysis Process data is aggregated per article and production to provide insights on process performance. Video snippets allow for a comprehensive root-cause analysis.4. Data-driven improvements Your factory managers and process engineers define, implement and measure process improvements to increase productivity and quality in your assembly line. | $18.5M / Series A / Jun 25, 2026 | |
WhyBrilliant
|
WhyBrilliant operates as a B2B platform marketplace that utilizes conversational voice artificial intelligence to automate job matching. The company's core business model reverses the traditional hiring framework by having pre-vetted corporate clients submit inquiries to anonymized, AI-screened talent. Its consumer value proposition centers oneliminating standard application forms and manual recruiter screenings by deploying an AI assistant to privately map candidate objectives and facilitate secure introductions. This structural approach enables employers to optimize their hiring pipeline efficiency while guaranteeing job seekers profile confidentiality from current employers. | $1.2M / Pre-Seed / Jun 16, 2026 | |
revel8
|
revel8 (formerly Company Shield) helps organizations stop GenAI-powered social engineering attacks with real-time, personalized simulations across email, SMS, chat, voice, and video. The AI-driven platform mirrors real attack tactics, adapts to each user’s risk profile, and reinforces awareness through gamified, habit-forming training. | $6.6M / Seed / Sep 25, 2025 | |
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Almetra
|
AI-based process analytics platform to increase productivity and quality in manual processes. Processes are captured using computer vision and automatically analysed with a highly flexible AI to identify improvement potential.1. Real-time capture with cameras Cameras are installed at individual assembly stations capturing live video streams ofassembly or packaging tasks.2. AI tracks material & work steps Video streams are continuously analyzed to detect workpiece movements, cycle times, and work step sequencing.3. Aggregation for data analysis Process data is aggregated per article and production to provide insights on process performance. Video snippets allow for a comprehensive root-cause analysis.4. Data-driven improvements Your factory managers and process engineers define, implement and measure process improvements to increase productivity and quality in your assembly line. | $4.8M / Seed / Apr 26, 2024 |
Co-Investors
About Merantix Capital
At Merantix Venture Studio we ideate, build and scale AI companies. Through our unique incubation platform, seed financing and exceptional teams of entrepreneurs and engineers, we transfer world-leading research into ventures that will disrupt existing and create new industries.
Merantix Capital Contacts
| Name | Phone | Socials | |
|---|---|---|---|
Adrian Locher
Founder, CEO and General Partner
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Janette Wiget
Chief Financial Officer
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Rasmus Rothe
Founder
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Sona Chandra
Founder
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FAQ
What does Rasmus Rothe invest in?
Rasmus Rothe invests primarily in Artificial Intelligence, Software and B2B startups, most often at Seed and Pre-Seed stage. Most of the 4 investments tracked by Shizune back companies in Germany. The Investment Focus section breaks down every industry, stage and country in the portfolio.
How do I contact Rasmus Rothe?
Public channels for Rasmus Rothe include LinkedIn, the website linked on this profile 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 Rasmus Rothe last invest?
The most recent investment recorded for Rasmus Rothe closed in Jun 2026. Shizune tracks 4 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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