NAP
VC Fund
Berlin, Germany
NAP is a Berlin-based pre-seed and seed venture capital investor, investing in European technology companies. NAP backs founders who turn non-obvious ideas into realities. The team includes former operators and builders with extensive experience in scaling companies. NAP supports its portfolio companies through capital, guidance, and connections.NAP’s key portfolio highlights include Aleph Alpha, Ampeco, Flip, PlanRadar, Spread, and Usercentrics.
- Total investments:
- 70
- Last investment:
- Lead investor:
- 43%
Last updated:
For AI agents: llms.txt
Industries NAP invests in
Stages NAP invests in
Countries NAP invests in
Round sizes
Contacts
| Name | Phone | Socials | |
|---|---|---|---|
Round size
- Seed
- $2.6M–$6.5M
- Pre-Seed
- $1.3M–$5.9M
- Series A
- $12M–$30M
Investment Focus
Industry
- Software 5 (7%)
- Artificial Intelligence 4 (6%)
- Information Services 2 (3%)
- EdTech 1 (1%)
- Energy 1 (1%)
Stage
- Seed 7 (10%)
- Pre-Seed 3 (4%)
- Series A 2 (3%)
- Venture - Series Unknown 1 (1%)
Country
- Germany 4 (6%)
- Ireland 2 (3%)
- United Kingdom 2 (3%)
- The Netherlands 1 (1%)
Team
| Name | Title | Investments | Links | |
|---|---|---|---|---|
Björn Loose
Partner
|
Partner | Total investments: 2 | Find email | |
Claude Ritter
Co-Founder & Managing Partner
|
Co-Founder & Managing Partner | Total investments: 12 | Find email | |
Dominik Matyka
Entrepreneurial Partner and Founder
|
Entrepreneurial Partner and Founder | Total investments: 0 | Find email | |
Fabian Krautwurst
Associate
|
Associate | Total investments: 0 | Find email | |
Marcel Hollerbach
Entrepreneurial Partner
|
Entrepreneurial Partner | Total investments: 2 | Find email | |
| See all 12 team members → | ||||
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 | |
Zalera
|
Zelara is your AI-driven system for tailored communication. In one unified learning cycle, the system crafts branded messages for every customer, decides on the right variant and timing for each, and learns from every send. The result: 1:1 personalization across your entire customer base. Zelara is designed for all B2C companies with repeatcustomer lifecycles in high-engagement sectors like subscriptions, fintech, e-commerce, and entertainment. For users of API-first CRMs such as Braze, Klaviyo, or Bird, Zelara delivers 1:1 personalization on top of your existing stack. | Seed / Jun 01, 2026 | |
|
Zalera
|
Zelara is your AI-driven system for tailored communication. In one unified learning cycle, the system crafts branded messages for every customer, decides on the right variant and timing for each, and learns from every send. The result: 1:1 personalization across your entire customer base. Zelara is designed for all B2C companies with repeatcustomer lifecycles in high-engagement sectors like subscriptions, fintech, e-commerce, and entertainment. For users of API-first CRMs such as Braze, Klaviyo, or Bird, Zelara delivers 1:1 personalization on top of your existing stack. | $3.5M / Pre-Seed / Jun 01, 2026 | |
SPREAD AI
|
SPREAD AI develops engineering intelligence software that enables organizations to unify, analyze, and act on complex product data across the entire product lifecycle. The company provides a platform that aggregates structured and unstructured data from systems such as engineering tools, production systems, and documentation into a single,connected data layer. Its core technology creates a “product twin,” a graph-based representation that models how mechanical, electrical, and software components interact within a product. This allows engineering teams to understand dependencies, assess the impact of changes, and make informed decisions based on a complete view of product behavior.SPREAD AI integrates with existing enterprise systems rather than replacing them, acting as a layer that connects data sources and enables real-time analysis and workflow automation. It also provides customizable applications and low-code tools that allow teams to build domain-specific solutions tailored to their engineering needs. The platform incorporates artificial intelligence and automation capabilities, including AI agents that assist with tasks such as data mapping, validation, troubleshooting, and requirements analysis. These tools help reduce manual work and enable faster resolution of engineering issues across development, production, and aftersales processes. | $29.3M / Series B / Apr 29, 2026 | |
Patronus Group
|
Rethinking elderly healthcare | $12.9M / Venture - Series Unknown / Apr 28, 2026 | |
Grand
|
Grand’s AI forecasts and monitors risk, growth and stability across your trade partners, so you can focus on decisions. | $5M / Pre-Seed / Mar 26, 2026 | |
VoiceLine
|
VoiceLine helps professionals by bringing voice collaboration to high performing teams. | $11.8M / Series A / Feb 24, 2026 | |
Verna
|
Verna is a business using geospatial data science to address the climate and nature crises.We help landowners, investors, and policymakers to use land in ways that draw down carbon, enhance biodiversity and generate sustainable returns – e.g. through woodland creation, habitat creation and enhancement, and regenerative agriculture.Verna wasestablished in Borehamwood, Hertford. | $4M / Seed / Jan 13, 2026 | |
Ascentra Labs
|
Ascentra Labs is using AI to automate high-repeatability tasks in private equity consulting, | $2M / Pre-Seed / Dec 02, 2025 | |
Logistica OS
|
Founded in 2025 by Flavio Alario, Kenan Deniz, and Florian Lehmann, Logistica OS combines deep logistics expertise with advanced AI technology. Alario brings experience from DHL and other logistics firms, while Deniz and Lehmann contribute extensive backgrounds in process automation and product development.Logistica OS is developing AI agents forsupply chain operations that combine deep logistics expertise with advanced AI technology. | $1.7M / Pre-Seed / Nov 20, 2025 | |
| See all 70 investments → | |||
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FAQ
What does NAP invest in?
NAP invests primarily in Software, Artificial Intelligence and Information Services startups, most often at Seed and Pre-Seed stage. Most of the 70 investments tracked by Shizune back companies in Germany. The Investment Focus section breaks down every industry, stage and country in the portfolio.
What is NAP's check size?
NAP typically joins rounds of $2.6M–$6.5M at Seed, $1.3M–$5.9M at Pre-Seed and $12M–$30M 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 NAP participates in.
How do I contact NAP?
Public channels for NAP include LinkedIn 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.
Who are the partners at NAP?
The team at NAP includes Björn Loose (Partner), Claude Ritter (Co-Founder & Managing Partner) and Dominik Matyka (Entrepreneurial Partner and Founder), among 12 team members tracked by Shizune. The Team section lists each member with their title, investment count and links.
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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