# Roland Manger

> Roland Manger is a seed investor at Bek Ventures (Munich) backing Software and Cloud Computing. See 24 investments, check sizes, portfolio. Updated Aug 2026.

- Type: Angel Investor
- Fund: [Bek Ventures](https://shizune.co/investors/profile/bek-ventures)
- Location: Munich, Germany
- Total investments: 24
- Last investment: May 2024
- Lead investor: 58%
- Last updated: Aug 2026
- LinkedIn: https://www.linkedin.com/pub/roland-manger/0/a5/133
- Facebook: https://www.facebook.com/roland.manger

Roland Manger is a seed investor at Bek Ventures in Munich focused on Software and Cloud Computing. Roland Manger is based out of Munich, Bayern and is the Partner of Bek Ventures. Roland previously worked at Minit Process Mining as a Board Member. Roland Manger attended the Georgetown University.

## Investment focus

### Industry

| Industry | Investments | Share |
| --- | --- | --- |
| Software | 4 | 17% |
| Cloud Computing | 3 | 13% |
| Information Technology | 3 | 13% |
| SaaS | 1 | 4% |
| Gaming | 1 | 4% |

22 industries tracked in total.

### Stage

| Stage | Investments | Share |
| --- | --- | --- |
| Seed | 4 | 17% |
| Series A | 4 | 17% |
| Series B | 2 | 8% |
| Series C | 1 | 4% |
| Series D | 1 | 4% |

7 stages tracked in total.

### Country

| Country | Investments | Share |
| --- | --- | --- |
| United States | 4 | 17% |
| Turkey | 1 | 4% |
| Germany | 1 | 4% |
| United Kingdom | 1 | 4% |
| Slovakia (Slovak Republic) | 1 | 4% |

## Investments

| Company | Description | Amount | Stage | Date | Website |
| --- | --- | --- | --- | --- | --- |
| Simr (formerly UberCloud) | UberCloud helps enterprises migrate their complex engineering workflows to the cloud. Engineers can run their simulation tools with high performance and reliability. UberCloud's complete software platform lets enterprises build flexible HPC services in their own cloud accounts, delivering business agility and lower TCO. With deep expertise inapplications such as Ansys, UberCloud delivers a high performance solution that is secure and easy to administer.For software vendors (ISVs) UberCloud's software containers dramatically simplify software maintenance and support. UberCloud's application containers are fully portable, accessible, and usable on workstations, and servers, and any cloud. Software containers are currently available for software from ANSYS, CD-adapco/Siemens, Dassault, Mathworks, COMSOL, NICE, Numeca, OpenFOAM, SIMULIA, etc., on computing clouds from Google Cloud, Amazon AWS, Microsoft Azure, among others. | $20M | Series A | May 21, 2024 |  |
| Simr (formerly UberCloud) | UberCloud helps enterprises migrate their complex engineering workflows to the cloud. Engineers can run their simulation tools with high performance and reliability. UberCloud's complete software platform lets enterprises build flexible HPC services in their own cloud accounts, delivering business agility and lower TCO. With deep expertise inapplications such as Ansys, UberCloud delivers a high performance solution that is secure and easy to administer.For software vendors (ISVs) UberCloud's software containers dramatically simplify software maintenance and support. UberCloud's application containers are fully portable, accessible, and usable on workstations, and servers, and any cloud. Software containers are currently available for software from ANSYS, CD-adapco/Siemens, Dassault, Mathworks, COMSOL, NICE, Numeca, OpenFOAM, SIMULIA, etc., on computing clouds from Google Cloud, Amazon AWS, Microsoft Azure, among others. | $20M | Series A | May 21, 2024 |  |
| Anari AI | Anari AI is the next-generation computation platform for AI. It pioneers reconfigurable AI for customers to personalize their infrastructure in one click; it also enables chip designers to rapidly create and deploy their solutions. | $2M | Seed | Apr 13, 2021 |  |
| Anari AI | Anari AI is the next-generation computation platform for AI. It pioneers reconfigurable AI for customers to personalize their infrastructure in one click; it also enables chip designers to rapidly create and deploy their solutions. | $2M | Seed | Apr 13, 2021 |  |
| Hazelcast | Hazelcast is a provider of an open-source in-memory computing platform used for caching, stream processing, and microservices. It aims to address the growing demand for enhanced application performance, data processing speed, and scalability.Hazelcast's in-memory computing platform is comprised of two core products, the Hazelcast IMDG andJet. Hazelcast IMDG is an in-memory data grid that provides high availability and scalability by distributing data across multiple nodes. Hazelcast Jet is an ultra-fast, application embeddable, stream, and batch processing engine capable of supporting real-time streaming data. The company also offers Hazelcast Cloud, a fully managed, low latency data layer for cloud-based workloads at any scale.Hazelcast’s customers include 50 of the largest financial institutions, seven of the top telecommunications providers, and six of the biggest e-commerce retailers. | $28.5M | Series D | Feb 11, 2020 |  |
| Hazelcast | Hazelcast is a provider of an open-source in-memory computing platform used for caching, stream processing, and microservices. It aims to address the growing demand for enhanced application performance, data processing speed, and scalability.Hazelcast's in-memory computing platform is comprised of two core products, the Hazelcast IMDG andJet. Hazelcast IMDG is an in-memory data grid that provides high availability and scalability by distributing data across multiple nodes. Hazelcast Jet is an ultra-fast, application embeddable, stream, and batch processing engine capable of supporting real-time streaming data. The company also offers Hazelcast Cloud, a fully managed, low latency data layer for cloud-based workloads at any scale.Hazelcast’s customers include 50 of the largest financial institutions, seven of the top telecommunications providers, and six of the biggest e-commerce retailers. | $28.5M | Series D | Feb 11, 2020 |  |
| Minit | Our solution leads businesses to transform the way they analyze, monitor, and optimize their processes, helping them uncover opportunities for continuous process improvement and higher operational efficiency.Minit Analyst helps you gain deep insights into how your processes run, uncover root causes of operational problems, and build usefuloutputs for the rest of your organization.Among top Minit Analyst features, you'll find AI powered Root-Caus Analysis, Business Rules, Process Simulation, Custom Metrics, Hierarchical Process Mining, Rework Detector, and Process Compare.Minit Dashboards provide you with a window into what is happening in your organization, in near-real-time to capture opportunities and mitigate undesired process outcomes. | $7.4M | Series A | Oct 16, 2019 |  |
| Minit | Our solution leads businesses to transform the way they analyze, monitor, and optimize their processes, helping them uncover opportunities for continuous process improvement and higher operational efficiency.Minit Analyst helps you gain deep insights into how your processes run, uncover root causes of operational problems, and build usefuloutputs for the rest of your organization.Among top Minit Analyst features, you'll find AI powered Root-Caus Analysis, Business Rules, Process Simulation, Custom Metrics, Hierarchical Process Mining, Rework Detector, and Process Compare.Minit Dashboards provide you with a window into what is happening in your organization, in near-real-time to capture opportunities and mitigate undesired process outcomes. | $7.4M | Series A | Oct 16, 2019 |  |
| Hazelcast | Hazelcast is a provider of an open-source in-memory computing platform used for caching, stream processing, and microservices. It aims to address the growing demand for enhanced application performance, data processing speed, and scalability.Hazelcast's in-memory computing platform is comprised of two core products, the Hazelcast IMDG andJet. Hazelcast IMDG is an in-memory data grid that provides high availability and scalability by distributing data across multiple nodes. Hazelcast Jet is an ultra-fast, application embeddable, stream, and batch processing engine capable of supporting real-time streaming data. The company also offers Hazelcast Cloud, a fully managed, low latency data layer for cloud-based workloads at any scale.Hazelcast’s customers include 50 of the largest financial institutions, seven of the top telecommunications providers, and six of the biggest e-commerce retailers. | $21.5M | Series D | Jun 18, 2019 |  |
| Hazelcast | Hazelcast is a provider of an open-source in-memory computing platform used for caching, stream processing, and microservices. It aims to address the growing demand for enhanced application performance, data processing speed, and scalability.Hazelcast's in-memory computing platform is comprised of two core products, the Hazelcast IMDG andJet. Hazelcast IMDG is an in-memory data grid that provides high availability and scalability by distributing data across multiple nodes. Hazelcast Jet is an ultra-fast, application embeddable, stream, and batch processing engine capable of supporting real-time streaming data. The company also offers Hazelcast Cloud, a fully managed, low latency data layer for cloud-based workloads at any scale.Hazelcast’s customers include 50 of the largest financial institutions, seven of the top telecommunications providers, and six of the biggest e-commerce retailers. | $21.5M | Series D | Jun 18, 2019 |  |

10 of 24 investments shown.

## Co-investors
- [Earlybird Digital East Fund](https://shizune.co/investors/profile/earlybird-digital-east-fund) — VC Fund, 9 deals together
- [Earlybird Venture Capital](https://shizune.co/investors/profile/earlybird-venture-capital) — VC Fund, 9 deals together
- [Bain Capital Ventures](https://shizune.co/investors/profile/bain-capital-ventures) — VC Fund, 5 deals together
- [C5 Capital](https://shizune.co/investors/profile/c5-capital) — VC Fund, 4 deals together
- [Capital One Ventures](https://shizune.co/investors/profile/capital-one-growth-ventures) — VC Fund, 4 deals together
- [KFW DEG](https://shizune.co/investors/profile/kfw-deg) — VC Fund, 4 deals together

## About Bek Ventures

VC Fund · Luxembourg, Luxembourg

Bek Ventures (f.k.a. Earlybird Digital East Fund) is one of the world’s leading early-stage venture capital investors, investing in tech startups with global ambitions and roots in Emerging Europe. Currently in its second decade, the firm has over $600m committed capital across its active funds and the team’s investment track record includes someof the multi-billion dollar successes emerging from the region, including UiPath, Payhawk, and Peak. The firm was recently named the top-performing VC globally since 2010 by HEC-Dow Jones.

5 contacts available at Bek Ventures.

| Name | Title | Profile |
| --- | --- | --- |
| Roland Manger | Partner | https://shizune.co/investors/profile/roland-manger |
| Arda Kirkagac | Senior Associate | https://shizune.co/investors/profile/arda-kirkagac |
| Baturay Kaya | Partner | https://shizune.co/investors/profile/baturay-kaya |
| Cem Sertoglu | Managing Partner | https://shizune.co/investors/profile/m-cem-sertoglu |
| Ertunc Alioglu | CFO | https://shizune.co/investors/profile/ertunc-alioglu |

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## FAQ

### What does Roland Manger invest in?

Roland Manger invests primarily in Software, Cloud Computing and Information Technology startups, most often at Seed and Series A stage. Most of the 24 investments tracked by Shizune back companies in United States. The Investment Focus section breaks down every industry, stage and country in the portfolio.

### When did Roland Manger last invest?

The most recent investment recorded for Roland Manger closed in May 2024. Shizune tracks 24 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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