# RAG-Stiftung

> RAG-Stiftung is a VC fund in Essen backing SaaS, Software and Information Technology. See 6 investments, round sizes, portfolio. Updated Oct 2026.

- Type: VC Fund
- Location: Essen, Germany
- Total investments: 6
- Last investment: Jan 2025
- Lead investor: 50%
- Last updated: Oct 2026
- X (Twitter): https://twitter.com/ragstiftung
- Website: http://www.rag-stiftung.de/
- Facebook: https://www.facebook.com/ragstiftung

RAG-Stiftung is a VC fund in Essen focused on SaaS and Software. RAG-Stiftung is to permanently finance RAG’s perpetual mine management obligations related to coal mining.

## Investment focus

### Industry

| Industry | Investments | Share |
| --- | --- | --- |
| SaaS | 2 | 33% |
| Software | 2 | 33% |
| Information Technology | 2 | 33% |
| Artificial Intelligence | 2 | 33% |
| Retail | 1 | 17% |

15 industries tracked in total.

### Stage

| Stage | Investments | Share |
| --- | --- | --- |
| Series A | 2 | 33% |
| Seed | 1 | 17% |
| Series B | 1 | 17% |
| Corporate Round | 1 | 17% |
| Venture - Series Unknown | 1 | 17% |

### Country

| Country | Investments | Share |
| --- | --- | --- |
| Germany | 3 | 50% |
| Israel | 1 | 17% |
| Austria | 1 | 17% |

## Investments

| Company | Description | Round size | Stage | Date | Website |
| --- | --- | --- | --- | --- | --- |
| Eduneon | Eduneon is developing a digital platform to help schools and municipalities plan and manage digital educational change in a systematic and ongoing manner. It uses software solutions to deliver sustainable and pedagogically meaningful media education. |  | Seed | Jan 15, 2025 | https://www.eduneon.de/ |
| talpasolutions | talpasolutions a predictive SaaS analytics provider for the mining industry that helps companies optimize machine performance, reduce breakdowns, and improve safety by making data more understandable. talpasolutions makes it possible for operators and machine manufacturers in heavy industry to use machine data that would have otherwise been lost.talpasolutions concentrates on building visualization and analysis applications for the industrial internet. In the first step, large amounts of data from the machines are recorded. Comprehendable visualizations allow for different stakeholders to understand relationships based on sensor data and contextual data and to react to critical information, which would otherwise have been buried in the data transfer. In the second step the newest predictive models are applied to eliminate events such as errors and the breakdown of machines critical to the process. This increases not only the availability but also the workload of the machines. talpasolutions has built a network out of industry partners to develop solutions that stretch across various sectors and unify industry experience, data science, and workflow connectivity. Using predictive instructions our platform recognizes problems before they occur and supports users with workflow-based processes. Our applications make it possible to collect performance data from machines in order to recommend optimal fleet combinations for respective scenarios to customers. This leads to more operating hours, higher efficiency, and an improved lifetime value of the machines. | $16.3M | Series B | Mar 28, 2023 | http://www.talpasolutions.com |
| talpasolutions | talpasolutions a predictive SaaS analytics provider for the mining industry that helps companies optimize machine performance, reduce breakdowns, and improve safety by making data more understandable. talpasolutions makes it possible for operators and machine manufacturers in heavy industry to use machine data that would have otherwise been lost.talpasolutions concentrates on building visualization and analysis applications for the industrial internet. In the first step, large amounts of data from the machines are recorded. Comprehendable visualizations allow for different stakeholders to understand relationships based on sensor data and contextual data and to react to critical information, which would otherwise have been buried in the data transfer. In the second step the newest predictive models are applied to eliminate events such as errors and the breakdown of machines critical to the process. This increases not only the availability but also the workload of the machines. talpasolutions has built a network out of industry partners to develop solutions that stretch across various sectors and unify industry experience, data science, and workflow connectivity. Using predictive instructions our platform recognizes problems before they occur and supports users with workflow-based processes. Our applications make it possible to collect performance data from machines in order to recommend optimal fleet combinations for respective scenarios to customers. This leads to more operating hours, higher efficiency, and an improved lifetime value of the machines. | $5.5M | Series A | Dec 21, 2020 | http://www.talpasolutions.com |
| Signa Retail | SIGNA Retail is the umbrella concern for a number of German companies established independently of one another, including The KaDeWe Group, Karstadt sports and Karstadt Warenhaus, outfitter.de, and the Joint Venture with EATALY. All five companies are led by experienced experts in the sector. With more than 20,000 personnel at more than 100locations, SIGNA Retail achieves with these five companies a turnover of some EUR 3 thousand million per year. | $779.1M | Corporate Round | Sep 13, 2019 | https://signa.at/retail |
| Factory Berlin | Factory Berlin is an ecosystem of over 3,000 members from more than 70 nations located on two campuses. Gathering the most ambitious creators from the tech, creative and corporate industries, we curate our diverse community to connect, collaborate and thrive together. As a platform for active networking, our digital products, spaces, startup labs,events, and programs encourage new connections to impact our surroundings and world. Supported by partners like Riverside Studios Berlin, Sonar+D, Google for Startups, CODE University, and Hackerbay, the Factory Berlin culture empowers creators to build a better world. |  | Venture - Series Unknown | Nov 12, 2018 | http://factoryberlin.com/ |
| Kitov | Kitov develops a platform for automated visual inspection based on artificial intelligence. It leverages visions of computers and capabilities of artificial intelligence that include deep learning, advanced robotics, and big data analytics, enabling industrial manufacturers to reduce manufacturing costs, eliminate inefficiencies and improve qualitywithout the need for any programming expertise or expertise on automation. | $10M | Series A | Oct 10, 2018 | https://www.kitov.ai/ |

6 of 6 investments shown.

## Co-investors
- [F-LOG Ventures](https://shizune.co/investors/profile/f-log-ventures) — VC Fund, 2 deals together
- [Gruenderfonds Ruhr](https://shizune.co/investors/profile/gruenderfonds-ruhr) — VC Fund, 2 deals together
- [HTGF (High-Tech Gruenderfonds)](https://shizune.co/investors/profile/high-tech-gr%C3%BCnderfonds) — VC Fund, 2 deals together
- [NRW.BANK](https://shizune.co/investors/profile/nrw-bank) — VC Fund, 2 deals together
- [BM H Beteiligungs-Managementgesellschaft Hessen](https://shizune.co/investors/profile/bm-h-beteiligungs-managementgesellschaft-hessen) — VC Fund, 1 deal together
- [FFP Group](https://shizune.co/investors/profile/ffp-group) — VC Fund, 1 deal together

## Similar investors

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- [Antler](https://shizune.co/investors/profile/antler-be9c) — VC Fund
- [Alumni Ventures](https://shizune.co/investors/profile/alumni-ventures-group) — VC Fund
- [FJ Labs](https://shizune.co/investors/profile/fj-labs) — VC Fund

## FAQ

### What does RAG-Stiftung invest in?

RAG-Stiftung invests primarily in SaaS, Software and Information Technology startups, most often at Series A and Seed stage. Most of the 6 investments tracked by Shizune back companies in Germany. The Investment Focus section breaks down every industry, stage and country in the portfolio.

### When did RAG-Stiftung last invest?

The most recent investment recorded for RAG-Stiftung closed in Jan 2025. Shizune tracks 6 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 Oct 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.

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